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2026-06-30 01:38:14 +00:00
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</tr>
</thead>
<tbody>
<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="32400">
<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="32403">
<td class="col-num">1</td>
<td class="col-name">
<a href="https://www.numpy.org" target="_blank" rel="noopener">numpy</a>
<span class="mobile-category">Numerical Libraries &amp; Data Structures</span>
</td>
<td class="col-stars"><span class="stars" title="32,400 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 32.4k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-29">2026-06-29</span></td>
<td class="col-stars"><span class="stars" title="32,403 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 32.4k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-30">2026-06-30</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
<button class="tag tag-section" data-filter-type="category" data-filter-value="Numerical Libraries &amp; Data Structures">numerical-libraries-data-structures</button>
@@ -116,13 +116,13 @@
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<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="14787">
<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="14789">
<td class="col-num">2</td>
<td class="col-name">
<a href="https://www.scipy.org" target="_blank" rel="noopener">scipy</a>
<span class="mobile-category">Numerical Libraries &amp; Data Structures</span>
</td>
<td class="col-stars"><span class="stars" title="14,787 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 14.8k</span></td>
<td class="col-stars"><span class="stars" title="14,789 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 14.8k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-29">2026-06-29</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -142,14 +142,14 @@
</div>
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<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="49219">
<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="49221">
<td class="col-num">3</td>
<td class="col-name">
<a href="https://pandas.pydata.org" target="_blank" rel="noopener">pandas</a>
<span class="mobile-category">Numerical Libraries &amp; Data Structures</span>
</td>
<td class="col-stars"><span class="stars" title="49,219 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 49.2k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-29">2026-06-29</span></td>
<td class="col-stars"><span class="stars" title="49,221 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 49.2k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-30">2026-06-30</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
<button class="tag tag-section" data-filter-type="category" data-filter-value="Numerical Libraries &amp; Data Structures">numerical-libraries-data-structures</button>
@@ -245,13 +245,13 @@
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</tr>
<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="14730">
<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="14731">
<td class="col-num">7</td>
<td class="col-name">
<a href="https://www.sympy.org/" target="_blank" rel="noopener">sympy</a>
<span class="mobile-category">Numerical Libraries &amp; Data Structures</span>
</td>
<td class="col-stars"><span class="stars" title="14,730 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 14.7k</span></td>
<td class="col-stars"><span class="stars" title="14,731 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 14.7k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-29">2026-06-29</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -323,13 +323,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="2418">
<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="2419">
<td class="col-num">10</td>
<td class="col-name">
<a href="https://github.com/man-group/ArcticDB" target="_blank" rel="noopener">ArcticDB</a>
<span class="mobile-category">Numerical Libraries &amp; Data Structures</span>
</td>
<td class="col-stars"><span class="stars" title="2,418 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 2.4k</span></td>
<td class="col-stars"><span class="stars" title="2,419 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 2.4k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-26">2026-06-26</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -998,13 +998,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Financial Instruments &amp; Pricing" data-sources="github" data-stars="11008">
<tr class="row" data-languages="Python" data-category="Financial Instruments &amp; Pricing" data-sources="github" data-stars="11009">
<td class="col-num">36</td>
<td class="col-name">
<a href="https://github.com/goldmansachs/gs-quant" target="_blank" rel="noopener">gs-quant</a>
<span class="mobile-category">Financial Instruments &amp; Pricing</span>
</td>
<td class="col-stars"><span class="stars" title="11,008 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 11k</span></td>
<td class="col-stars"><span class="stars" title="11,009 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 11k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-25">2026-06-25</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -1102,13 +1102,13 @@
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</td>
</tr>
<tr class="row" data-languages="Python" data-category="Financial Instruments &amp; Pricing" data-sources="github" data-stars="5415">
<tr class="row" data-languages="Python" data-category="Financial Instruments &amp; Pricing" data-sources="github" data-stars="5416">
<td class="col-num">40</td>
<td class="col-name">
<a href="https://github.com/google/tf-quant-finance" target="_blank" rel="noopener">tf-quant-finance</a>
<span class="mobile-category">Financial Instruments &amp; Pricing</span>
</td>
<td class="col-stars"><span class="stars" title="5,415 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 5.4k</span></td>
<td class="col-stars"><span class="stars" title="5,416 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 5.4k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-02-12">2026-02-12</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -1499,7 +1499,7 @@
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<td class="col-update"><span class="last-update" title="Last commit: 2026-06-26">2026-06-26</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-29">2026-06-29</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
<button class="tag tag-section" data-filter-type="category" data-filter-value="Financial Instruments &amp; Pricing">financial-instruments-pricing</button>
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<tr class="row" data-languages="Golang" data-category="Technical Indicators" data-sources="github" data-stars="1194">
<td class="col-num">121</td>
<td class="col-name">
<a href="https://github.com/cinar/indicator" target="_blank" rel="noopener">IndicatorGo</a>
<span class="mobile-category">Technical Indicators</span>
</td>
<td class="col-stars"><span class="stars" title="1,191 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 1.2k</span></td>
<td class="col-stars"><span class="stars" title="1,194 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 1.2k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-07">2026-06-07</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Golang">golang</button>
@@ -3312,7 +3312,7 @@
<span class="mobile-category">Technical Indicators</span>
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<td class="col-stars"><span class="stars" title="20 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 20</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-28">2026-06-28</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-29">2026-06-29</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Rust">rust</button>
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -3520,13 +3520,13 @@
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</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="15009">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="15112">
<td class="col-num">133</td>
<td class="col-name">
<a href="https://github.com/HKUDS/Vibe-Trading" target="_blank" rel="noopener">Vibe-Trading</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="15,009 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 15k</span></td>
<td class="col-stars"><span class="stars" title="15,112 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 15.1k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-29">2026-06-29</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -3858,13 +3858,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="22192">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="22194">
<td class="col-num">146</td>
<td class="col-name">
<a href="https://github.com/backtrader/backtrader" target="_blank" rel="noopener">backtrader</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="22,192 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 22.2k</span></td>
<td class="col-stars"><span class="stars" title="22,194 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 22.2k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2023-04-19">2023-04-19</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -3962,13 +3962,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="847">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="848">
<td class="col-num">150</td>
<td class="col-name">
<a href="https://github.com/gbeced/basana" target="_blank" rel="noopener">basana</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="847 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 847</span></td>
<td class="col-stars"><span class="stars" title="848 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 848</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-15">2026-06-15</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4300,13 +4300,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="658">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="659">
<td class="col-num">163</td>
<td class="col-name">
<a href="https://github.com/dragon1086/prism-insight" target="_blank" rel="noopener">PRISM-INSIGHT</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="658 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 658</span></td>
<td class="col-stars"><span class="stars" title="659 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 659</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-29">2026-06-29</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4533,13 +4533,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="51941">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="51943">
<td class="col-num">172</td>
<td class="col-name">
<a href="https://github.com/freqtrade/freqtrade" target="_blank" rel="noopener">freqtrade</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="51,941 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 51.9k</span></td>
<td class="col-stars"><span class="stars" title="51,943 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 51.9k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-29">2026-06-29</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4585,13 +4585,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="45392">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="45396">
<td class="col-num">174</td>
<td class="col-name">
<a href="https://github.com/microsoft/qlib" target="_blank" rel="noopener">Qlib</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="45,392 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 45.4k</span></td>
<td class="col-stars"><span class="stars" title="45,396 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 45.4k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-22">2026-04-22</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4611,13 +4611,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="19423">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="19429">
<td class="col-num">175</td>
<td class="col-name">
<a href="https://github.com/stefan-jansen/machine-learning-for-trading" target="_blank" rel="noopener">machine-learning-for-trading</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="19,423 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 19.4k</span></td>
<td class="col-stars"><span class="stars" title="19,429 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 19.4k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-29">2026-06-29</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4663,13 +4663,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="8122">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="8121">
<td class="col-num">177</td>
<td class="col-name">
<a href="https://github.com/jesse-ai/jesse" target="_blank" rel="noopener">jesse</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="8,122 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 8.1k</span></td>
<td class="col-stars"><span class="stars" title="8,121 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 8.1k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-29">2026-06-29</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4715,13 +4715,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="15552">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="15554">
<td class="col-num">179</td>
<td class="col-name">
<a href="https://github.com/AI4Finance-LLC/FinRL-Library" target="_blank" rel="noopener">FinRL-Library</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="15,552 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 15.6k</span></td>
<td class="col-stars"><span class="stars" title="15,554 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 15.6k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-05">2026-04-05</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4819,13 +4819,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="6172">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="6173">
<td class="col-num">183</td>
<td class="col-name">
<a href="https://github.com/Drakkar-Software/OctoBot" target="_blank" rel="noopener">OctoBot</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="6,172 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 6.2k</span></td>
<td class="col-stars"><span class="stars" title="6,173 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 6.2k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-16">2026-05-16</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5002,13 +5002,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="8085">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="8086">
<td class="col-num">190</td>
<td class="col-name">
<a href="https://github.com/polakowo/vectorbt" target="_blank" rel="noopener">vectorbt</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="8,085 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 8.1k</span></td>
<td class="col-stars"><span class="stars" title="8,086 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 8.1k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-29">2026-06-29</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5028,13 +5028,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python C#" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="20255">
<tr class="row" data-languages="Python C#" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="20256">
<td class="col-num">191</td>
<td class="col-name">
<a href="https://github.com/QuantConnect/Lean" target="_blank" rel="noopener">Lean</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="20,255 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 20.3k</span></td>
<td class="col-stars"><span class="stars" title="20,256 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 20.3k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-29">2026-06-29</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5055,13 +5055,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="3367">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="3368">
<td class="col-num">192</td>
<td class="col-name">
<a href="https://github.com/robcarver17/pysystemtrade" target="_blank" rel="noopener">pysystemtrade</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="3,367 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 3.4k</span></td>
<td class="col-stars"><span class="stars" title="3,368 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 3.4k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-08">2026-06-08</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5237,13 +5237,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="42395">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="42412">
<td class="col-num">199</td>
<td class="col-name">
<a href="https://github.com/vnpy/vnpy" target="_blank" rel="noopener">vnpy</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="42,395 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 42.4k</span></td>
<td class="col-stars"><span class="stars" title="42,412 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 42.4k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-17">2026-05-17</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5315,13 +5315,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python Rust" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="24309">
<tr class="row" data-languages="Python Rust" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="24317">
<td class="col-num">202</td>
<td class="col-name">
<a href="https://github.com/nautechsystems/nautilus_trader" target="_blank" rel="noopener">nautilus_trader</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="24,309 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 24.3k</span></td>
<td class="col-stars"><span class="stars" title="24,317 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 24.3k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-29">2026-06-29</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5811,13 +5811,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Matlab" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="10797">
<tr class="row" data-languages="Matlab" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="10798">
<td class="col-num">221</td>
<td class="col-name">
<a href="https://github.com/yutiansut/quantaxis" target="_blank" rel="noopener">QUANTAXIS</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="10,797 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 10.8k</span></td>
<td class="col-stars"><span class="stars" title="10,798 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 10.8k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-02-28">2026-02-28</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Matlab">matlab</button>
@@ -5941,13 +5941,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="JavaScript Python PHP" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="43126">
<tr class="row" data-languages="JavaScript Python PHP" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="43127">
<td class="col-num">226</td>
<td class="col-name">
<a href="https://github.com/ccxt/ccxt" target="_blank" rel="noopener">ccxt</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="43,126 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 43.1k</span></td>
<td class="col-stars"><span class="stars" title="43,127 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 43.1k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-29">2026-06-29</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="JavaScript">javascript</button>
@@ -6256,13 +6256,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="20255">
<tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="20256">
<td class="col-num">238</td>
<td class="col-name">
<a href="https://github.com/QuantConnect/Lean" target="_blank" rel="noopener">QuantConnect</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="20,255 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 20.3k</span></td>
<td class="col-stars"><span class="stars" title="20,256 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 20.3k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-29">2026-06-29</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="CSharp">csharp</button>
@@ -6282,13 +6282,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="10216">
<tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="10218">
<td class="col-num">239</td>
<td class="col-name">
<a href="https://github.com/StockSharp/StockSharp" target="_blank" rel="noopener">StockSharp</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="10,216 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 10.2k</span></td>
<td class="col-stars"><span class="stars" title="10,218 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 10.2k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-22">2026-06-22</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="CSharp">csharp</button>
@@ -7455,13 +7455,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="JavaScript" data-category="Portfolio Optimization &amp; Risk Analysis" data-sources="github" data-stars="8870">
<tr class="row" data-languages="JavaScript" data-category="Portfolio Optimization &amp; Risk Analysis" data-sources="github" data-stars="8872">
<td class="col-num">284</td>
<td class="col-name">
<a href="https://github.com/ghostfolio/ghostfolio" target="_blank" rel="noopener">Ghostfolio</a>
<span class="mobile-category">Portfolio Optimization &amp; Risk Analysis</span>
</td>
<td class="col-stars"><span class="stars" title="8,870 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 8.9k</span></td>
<td class="col-stars"><span class="stars" title="8,872 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 8.9k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-29">2026-06-29</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="JavaScript">javascript</button>
@@ -7870,13 +7870,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Time Series Analysis" data-sources="github" data-stars="11485">
<tr class="row" data-languages="Python" data-category="Time Series Analysis" data-sources="github" data-stars="11488">
<td class="col-num">300</td>
<td class="col-name">
<a href="http://statsmodels.sourceforge.net" target="_blank" rel="noopener">statsmodels</a>
<span class="mobile-category">Time Series Analysis</span>
</td>
<td class="col-stars"><span class="stars" title="11,485 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 11.5k</span></td>
<td class="col-stars"><span class="stars" title="11,488 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 11.5k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-27">2026-06-27</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -7948,13 +7948,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Time Series Analysis" data-sources="github" data-stars="9257">
<tr class="row" data-languages="Python" data-category="Time Series Analysis" data-sources="github" data-stars="9258">
<td class="col-num">303</td>
<td class="col-name">
<a href="https://github.com/blue-yonder/tsfresh" target="_blank" rel="noopener">tsfresh</a>
<span class="mobile-category">Time Series Analysis</span>
</td>
<td class="col-stars"><span class="stars" title="9,257 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 9.3k</span></td>
<td class="col-stars"><span class="stars" title="9,258 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 9.3k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-08">2026-06-08</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -7974,13 +7974,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Time Series Analysis" data-sources="github" data-stars="20265">
<tr class="row" data-languages="Python" data-category="Time Series Analysis" data-sources="github" data-stars="20266">
<td class="col-num">304</td>
<td class="col-name">
<a href="https://github.com/facebook/prophet" target="_blank" rel="noopener">Facebook Prophet</a>
<span class="mobile-category">Time Series Analysis</span>
</td>
<td class="col-stars"><span class="stars" title="20,265 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 20.3k</span></td>
<td class="col-stars"><span class="stars" title="20,266 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 20.3k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-02-02">2026-02-02</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -8052,13 +8052,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Time Series Analysis" data-sources="github" data-stars="5206">
<tr class="row" data-languages="Python" data-category="Time Series Analysis" data-sources="github" data-stars="5208">
<td class="col-num">307</td>
<td class="col-name">
<a href="https://github.com/awslabs/gluon-ts" target="_blank" rel="noopener">gluon-ts</a>
<span class="mobile-category">Time Series Analysis</span>
</td>
<td class="col-stars"><span class="stars" title="5,206 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 5.2k</span></td>
<td class="col-stars"><span class="stars" title="5,208 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 5.2k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-16">2026-06-16</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -8520,13 +8520,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="69845">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="69846">
<td class="col-num">325</td>
<td class="col-name">
<a href="https://github.com/OpenBB-finance/OpenBBTerminal" target="_blank" rel="noopener">OpenBB Terminal</a>
<span class="mobile-category">Market Data &amp; Data Sources</span>
</td>
<td class="col-stars"><span class="stars" title="69,845 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 69.8k</span></td>
<td class="col-stars"><span class="stars" title="69,846 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 69.8k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-25">2026-06-25</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -8546,13 +8546,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="27656">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="27663">
<td class="col-num">326</td>
<td class="col-name">
<a href="https://github.com/Fincept-Corporation/FinceptTerminal" target="_blank" rel="noopener">Fincept Terminal</a>
<span class="mobile-category">Market Data &amp; Data Sources</span>
</td>
<td class="col-stars"><span class="stars" title="27,656 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 27.7k</span></td>
<td class="col-stars"><span class="stars" title="27,663 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 27.7k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-24">2026-06-24</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -8572,13 +8572,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="24450">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="24452">
<td class="col-num">327</td>
<td class="col-name">
<a href="https://github.com/ranaroussi/yfinance" target="_blank" rel="noopener">yfinance</a>
<span class="mobile-category">Market Data &amp; Data Sources</span>
</td>
<td class="col-stars"><span class="stars" title="24,450 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 24.4k</span></td>
<td class="col-stars"><span class="stars" title="24,452 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 24.5k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-28">2026-06-28</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -8624,13 +8624,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="679">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="680">
<td class="col-num">329</td>
<td class="col-name">
<a href="https://github.com/defeat-beta/defeatbeta-api" target="_blank" rel="noopener">defeatbeta-api</a>
<span class="mobile-category">Market Data &amp; Data Sources</span>
</td>
<td class="col-stars"><span class="stars" title="679 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 679</span></td>
<td class="col-stars"><span class="stars" title="680 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 680</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-10">2026-06-10</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -8754,13 +8754,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="2064">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="2063">
<td class="col-num">334</td>
<td class="col-name">
<a href="https://github.com/cuemacro/findatapy" target="_blank" rel="noopener">findatapy</a>
<span class="mobile-category">Market Data &amp; Data Sources</span>
</td>
<td class="col-stars"><span class="stars" title="2,064 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 2.1k</span></td>
<td class="col-stars"><span class="stars" title="2,063 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 2.1k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-11">2026-04-11</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -9585,13 +9585,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="5">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="6">
<td class="col-num">366</td>
<td class="col-name">
<a href="https://github.com/ajtgjmdjp/estat-mcp" target="_blank" rel="noopener">estat-mcp</a>
<span class="mobile-category">Market Data &amp; Data Sources</span>
</td>
<td class="col-stars"><span class="stars" title="5 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 5</span></td>
<td class="col-stars"><span class="stars" title="6 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 6</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-05">2026-04-05</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -9976,13 +9976,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="20834">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="20835">
<td class="col-num">381</td>
<td class="col-name">
<a href="https://github.com/jindaxiang/akshare" target="_blank" rel="noopener">akshare</a>
<span class="mobile-category">Market Data &amp; Data Sources</span>
</td>
<td class="col-stars"><span class="stars" title="20,834 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 20.8k</span></td>
<td class="col-stars"><span class="stars" title="20,835 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 20.8k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-27">2026-05-27</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -10158,13 +10158,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="4846">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="4847">
<td class="col-num">388</td>
<td class="col-name">
<a href="https://github.com/RomelTorres/alpha_vantage" target="_blank" rel="noopener">alpha_vantage</a>
<span class="mobile-category">Market Data &amp; Data Sources</span>
</td>
<td class="col-stars"><span class="stars" title="4,846 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 4.8k</span></td>
<td class="col-stars"><span class="stars" title="4,847 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 4.8k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-25">2026-06-25</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -11405,13 +11405,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python JavaScript" data-category="Prediction Markets" data-sources="github" data-stars="1933">
<tr class="row" data-languages="Python JavaScript" data-category="Prediction Markets" data-sources="github" data-stars="1934">
<td class="col-num">436</td>
<td class="col-name">
<a href="https://github.com/pmxt-dev/pmxt" target="_blank" rel="noopener">pmxt</a>
<span class="mobile-category">Prediction Markets</span>
</td>
<td class="col-stars"><span class="stars" title="1,933 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 1.9k</span></td>
<td class="col-stars"><span class="stars" title="1,934 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 1.9k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-29">2026-06-29</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -11510,13 +11510,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python JavaScript" data-category="Prediction Markets" data-sources="github" data-stars="1933">
<tr class="row" data-languages="Python JavaScript" data-category="Prediction Markets" data-sources="github" data-stars="1934">
<td class="col-num">440</td>
<td class="col-name">
<a href="https://github.com/pmxt-dev/pmxt" target="_blank" rel="noopener">pmxt</a>
<span class="mobile-category">Prediction Markets</span>
</td>
<td class="col-stars"><span class="stars" title="1,933 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 1.9k</span></td>
<td class="col-stars"><span class="stars" title="1,934 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 1.9k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-06-29">2026-06-29</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -12857,13 +12857,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="" data-category="Reproducing Works, Training &amp; Books" data-sources="github" data-stars="13612">
<tr class="row" data-languages="" data-category="Reproducing Works, Training &amp; Books" data-sources="github" data-stars="13614">
<td class="col-num">493</td>
<td class="col-name">
<a href="https://github.com/jpmorganchase/python-training" target="_blank" rel="noopener">python-training</a>
<span class="mobile-category">Reproducing Works, Training &amp; Books</span>
</td>
<td class="col-stars"><span class="stars" title="13,612 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 13.6k</span></td>
<td class="col-stars"><span class="stars" title="13,614 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 13.6k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2023-11-27">2023-11-27</span></td>
<td class="col-tags">
<button class="tag tag-section" data-filter-type="category" data-filter-value="Reproducing Works, Training &amp; Books">reproducing-works-training-books</button>
@@ -13732,13 +13732,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="" data-category="Reproducing Works, Training &amp; Books" data-sources="github" data-stars="3997">
<tr class="row" data-languages="" data-category="Reproducing Works, Training &amp; Books" data-sources="github" data-stars="3998">
<td class="col-num">528</td>
<td class="col-name">
<a href="https://github.com/shashankvemuri/Finance" target="_blank" rel="noopener">Finance</a>
<span class="mobile-category">Reproducing Works, Training &amp; Books</span>
</td>
<td class="col-stars"><span class="stars" title="3,997 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 4k</span></td>
<td class="col-stars"><span class="stars" title="3,998 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 4k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2025-05-12">2025-05-12</span></td>
<td class="col-tags">
<button class="tag tag-section" data-filter-type="category" data-filter-value="Reproducing Works, Training &amp; Books">reproducing-works-training-books</button>
projects.csv
+46 -46
View File
@@ -1,14 +1,14 @@
project,language,languages,category,section,section_slug,last_commit,stars,url,description,github,cran,pypi,commercial,repo
numpy,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-06-29,32400,https://www.numpy.org,NumPy is the fundamental package for scientific computing with Python. [GitHub](https://github.com/numpy/numpy),True,False,False,False,numpy/numpy
scipy,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-06-29,14787,https://www.scipy.org,"SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering. [GitHub](https://github.com/scipy/scipy)",True,False,False,False,scipy/scipy
pandas,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-06-29,49219,https://pandas.pydata.org,"pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. [GitHub](https://github.com/pandas-dev/pandas)",True,False,False,False,pandas-dev/pandas
numpy,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-06-30,32403,https://www.numpy.org,NumPy is the fundamental package for scientific computing with Python. [GitHub](https://github.com/numpy/numpy),True,False,False,False,numpy/numpy
scipy,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-06-29,14789,https://www.scipy.org,"SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering. [GitHub](https://github.com/scipy/scipy)",True,False,False,False,scipy/scipy
pandas,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-06-30,49221,https://pandas.pydata.org,"pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. [GitHub](https://github.com/pandas-dev/pandas)",True,False,False,False,pandas-dev/pandas
polars,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-06-29,38890,https://docs.pola.rs/,Polars is a blazingly fast DataFrame library for manipulating structured data. [GitHub](https://github.com/pola-rs/polars),True,False,False,False,pola-rs/polars
quantdsl,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2017-10-26,381,https://github.com/johnbywater/quantdsl,Domain specific language for quantitative analytics in finance and trading.,True,False,False,False,johnbywater/quantdsl
statistics,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,,0,https://docs.python.org/3/library/statistics.html,Builtin Python library for all basic statistical calculations.,False,False,False,False,
sympy,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-06-29,14730,https://www.sympy.org/,SymPy is a Python library for symbolic mathematics. [GitHub](https://github.com/sympy/sympy),True,False,False,False,sympy/sympy
sympy,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-06-29,14731,https://www.sympy.org/,SymPy is a Python library for symbolic mathematics. [GitHub](https://github.com/sympy/sympy),True,False,False,False,sympy/sympy
pymc3,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-06-23,9655,https://docs.pymc.io/,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano. [GitHub](https://github.com/pymc-devs/pymc),True,False,False,False,pymc-devs/pymc
modelx,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-05-31,131,https://docs.modelx.io/,Python reimagination of spreadsheets as formula-centric objects that are interoperable with pandas. [GitHub](https://github.com/fumitoh/modelx),True,False,False,False,fumitoh/modelx
ArcticDB,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-06-26,2418,https://github.com/man-group/ArcticDB,High performance datastore for time series and tick data.,True,False,False,False,man-group/ArcticDB
ArcticDB,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-06-26,2419,https://github.com/man-group/ArcticDB,High performance datastore for time series and tick data.,True,False,False,False,man-group/ArcticDB
CRNG,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-04-12,6,https://github.com/brotto/crng,"Contingency Random Number Generator that produces random numbers with real financial market statistical signatures (fat tails, volatility clustering, kurtosis). Matches 86% of real market metrics vs 14% for NumPy.",True,False,False,False,brotto/crng
xts,R,R,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-02-27,223,https://github.com/joshuaulrich/xts,"eXtensible Time Series: Provide for uniform handling of R's different time-based data classes by extending zoo, maximizing native format information preservation and allowing for user level customization and extension, while simplifying cross-class interoperability.",True,False,False,False,joshuaulrich/xts
data.table,R,R,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-06-29,3895,https://github.com/Rdatatable/data.table,"Extension of data.frame: Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns and a fast file reader (fread). Offers a natural and flexible syntax, for faster development.",True,False,False,False,Rdatatable/data.table
@@ -34,11 +34,11 @@ pynance,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pr
tia,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2017-06-05,428,https://github.com/bpsmith/tia,Toolkit for integration and analysis.,True,False,False,False,bpsmith/tia
pysabr,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2022-04-21,614,https://github.com/ynouri/pysabr,SABR model Python implementation.,True,False,False,False,ynouri/pysabr
FinancePy,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2026-06-16,3028,https://github.com/domokane/FinancePy,"A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.",True,False,False,False,domokane/FinancePy
gs-quant,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2026-06-25,11008,https://github.com/goldmansachs/gs-quant,Python toolkit for quantitative finance.,True,False,False,False,goldmansachs/gs-quant
gs-quant,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2026-06-25,11009,https://github.com/goldmansachs/gs-quant,Python toolkit for quantitative finance.,True,False,False,False,goldmansachs/gs-quant
willowtree,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2018-07-14,370,https://github.com/federicomariamassari/willowtree,Robust and flexible Python implementation of the willow tree lattice for derivatives pricing.,True,False,False,False,federicomariamassari/willowtree
financial-engineering,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2017-11-20,531,https://github.com/federicomariamassari/financial-engineering,"Applications of Monte Carlo methods to financial engineering projects, in Python.",True,False,False,False,federicomariamassari/financial-engineering
optlib,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2022-11-18,1606,https://github.com/dbrojas/optlib,A library for financial options pricing written in Python.,True,False,False,False,dbrojas/optlib
tf-quant-finance,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2026-02-12,5415,https://github.com/google/tf-quant-finance,High-performance TensorFlow library for quantitative finance.,True,False,False,False,google/tf-quant-finance
tf-quant-finance,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2026-02-12,5416,https://github.com/google/tf-quant-finance,High-performance TensorFlow library for quantitative finance.,True,False,False,False,google/tf-quant-finance
Q-Fin,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2023-04-07,633,https://github.com/RomanMichaelPaolucci/Q-Fin,A Python library for mathematical finance.,True,False,False,False,RomanMichaelPaolucci/Q-Fin
Quantsbin,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2021-05-23,641,https://github.com/quantsbin/Quantsbin,"Tools for pricing and plotting of vanilla option prices, greeks and various other analysis around them.",True,False,False,False,quantsbin/Quantsbin
finoptions,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2024-02-01,297,https://github.com/bbcho/finoptions-dev,Complete python implementation of R package fOptions with partial implementation of fExoticOptions for pricing various options.,True,False,False,False,bbcho/finoptions-dev
@@ -53,7 +53,7 @@ Pyderivatives,Python,Python,Financial Instruments & Pricing,Financial Instrument
quantra,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2026-06-27,27,https://github.com/joseprupi/quantraserver,"High-performance pricing engine built on QuantLib. It exposes QuantLib's functionality through gRPC and REST APIs, enabling distributed computations with FlatBuffers serialization.",True,False,False,False,joseprupi/quantraserver
optionlab,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2026-05-31,531,https://github.com/rgaveiga/optionlab,A Python library for evaluating option trading strategies.,True,False,False,False,rgaveiga/optionlab
flashalpha,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2026-06-17,3,https://github.com/FlashAlpha-lab/flashalpha-python,Python client for the FlashAlpha options analytics API.,True,False,False,False,FlashAlpha-lab/flashalpha-python
QuantOracle,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2026-06-26,6,https://github.com/QuantOracledev/quantoracle,"Free quant finance API with 63 deterministic endpoints + 15 free interactive calculators at [quantoracle.dev](https://quantoracle.dev). Options pricing with full Greeks, Monte Carlo, Kelly, VaR, Sharpe, CAGR, crypto liquidation, impermanent loss, plus live crypto volatility/funding data and 24/7 position monitoring with webhook alerts. 1,000 free calls/day, no API key.",True,False,False,False,QuantOracledev/quantoracle
QuantOracle,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2026-06-29,6,https://github.com/QuantOracledev/quantoracle,"Free quant finance API with 63 deterministic endpoints + 15 free interactive calculators at [quantoracle.dev](https://quantoracle.dev). Options pricing with full Greeks, Monte Carlo, Kelly, VaR, Sharpe, CAGR, crypto liquidation, impermanent loss, plus live crypto volatility/funding data and 24/7 position monitoring with webhook alerts. 1,000 free calls/day, no API key.",True,False,False,False,QuantOracledev/quantoracle
RQuantLib,R,R,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2026-06-09,132,https://github.com/eddelbuettel/rquantlib,RQuantLib connects GNU R with QuantLib.,True,False,False,False,eddelbuettel/rquantlib
quantmod,R,R,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2026-06-28,901,https://cran.r-project.org/web/packages/quantmod/index.html,Quantitative Financial Modelling Framework. [GitHub](https://github.com/joshuaulrich/quantmod),True,True,False,False,joshuaulrich/quantmod
Rmetrics,R,R,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,,0,https://www.rmetrics.org,The premier open source software solution for teaching and training quantitative finance.,False,False,False,False,
@@ -119,11 +119,11 @@ ta4j,Java,Java,Technical Indicators,Technical Indicators,technical-indicators,20
IndicatorTS,JavaScript,JavaScript,Technical Indicators,Technical Indicators,technical-indicators,2026-04-20,454,https://github.com/cinar/indicatorts,"Indicator is a TypeScript module providing various stock technical analysis indicators, strategies, and a backtest framework for trading.",True,False,False,False,cinar/indicatorts
chart-patterns,JavaScript,JavaScript,Technical Indicators,Technical Indicators,technical-indicators,error,0,https://github.com/focus1691/chart-patterns,"Technical analysis library for Market Profile, Volume Profile, Stacked Imbalances and High Volume Node indicators.",True,False,False,False,focus1691/chart-patterns
orderflow,JavaScript,JavaScript,Technical Indicators,Technical Indicators,technical-indicators,2025-03-31,74,https://github.com/focus1691/orderflow,Orderflow trade aggregator for building Footprint Candles from exchange websocket data.,True,False,False,False,focus1691/orderflow
IndicatorGo,Golang,Golang,Technical Indicators,Technical Indicators,technical-indicators,2026-06-07,1191,https://github.com/cinar/indicator,"IndicatorGo is a Golang module providing various stock technical analysis indicators, strategies, and a backtest framework for trading.",True,False,False,False,cinar/indicator
IndicatorGo,Golang,Golang,Technical Indicators,Technical Indicators,technical-indicators,2026-06-07,1194,https://github.com/cinar/indicator,"IndicatorGo is a Golang module providing various stock technical analysis indicators, strategies, and a backtest framework for trading.",True,False,False,False,cinar/indicator
TradeAggregation,Rust,Rust,Technical Indicators,Technical Indicators,technical-indicators,2026-02-05,116,https://github.com/MathisWellmann/trade_aggregation-rs,Aggregate trades into user-defined candles using information driven rules.,True,False,False,False,MathisWellmann/trade_aggregation-rs
SlidingFeatures,Rust,Rust,Technical Indicators,Technical Indicators,technical-indicators,2026-06-29,76,https://github.com/MathisWellmann/sliding_features-rs,Chainable tree-like sliding windows for signal processing and technical analysis.,True,False,False,False,MathisWellmann/sliding_features-rs
fin-primitives,Rust,Rust,Technical Indicators,Technical Indicators,technical-indicators,2026-03-23,12,https://github.com/Mattbusel/fin-primitives,"Financial market primitives in Rust: Price/Quantity/Symbol newtypes, BTreeMap order book, OHLCV aggregation, SMA/EMA/RSI indicators, position ledger with PnL, and composable risk monitor.",True,False,False,False,Mattbusel/fin-primitives
Wickra,Rust,"Rust,Python,JavaScript,C++,C#,Golang,Java,R",Technical Indicators,Technical Indicators,technical-indicators,2026-06-28,20,https://github.com/wickra-lib/wickra,"Streaming-first technical-analysis library with a Rust core: 514 indicators updating in O(1) per tick, with bit-exact batch-vs-streaming results.",True,False,False,False,wickra-lib/wickra
Wickra,Rust,"Rust,Python,JavaScript,C++,C#,Golang,Java,R",Technical Indicators,Technical Indicators,technical-indicators,2026-06-29,20,https://github.com/wickra-lib/wickra,"Streaming-first technical-analysis library with a Rust core: 514 indicators updating in O(1) per tick, with bit-exact batch-vs-streaming results.",True,False,False,False,wickra-lib/wickra
AlgoVault,TypeScript,TypeScript,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,2,https://github.com/AlgoVaultLabs/crypto-quant-signal-mcp,"MCP server returning composite crypto trade verdicts (direction, confidence, regime) across 5 perpetual-futures venues, with cross-venue funding-rate arbitrage and an on-chain Merkle-verified track record. Free tier.",True,False,False,False,AlgoVaultLabs/crypto-quant-signal-mcp
capitalcom-cli,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-16,1,https://github.com/SimonTarara62/capitalcom-cli,"Unofficial CLI and async SDK for the Capital.com broker API: market data, guarded order execution, and real-time streaming.",True,False,False,False,SimonTarara62/capitalcom-cli
income-desk,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,11,https://github.com/nitinblue/income-desk,"Systematic options trading intelligence for small accounts with desk-based portfolio management, pre-trade validation, and multi-broker consolidation.",True,False,False,False,nitinblue/income-desk
@@ -131,7 +131,7 @@ mx-trader-bridge,Python,Python,Trading & Backtesting,Trading & Backtesting,tradi
AI Quant Agents,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-24,12,https://github.com/demandai/ai-quant-agents,"Multi-agent LLM trading analysis where 12 AI agents (analysts, debaters, risk manager) debate stock picks in real-time, supporting US equities and China A-shares.",True,False,False,False,demandai/ai-quant-agents
TradeSight,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-23,92,https://github.com/rmbell09-lang/tradesight,"Self-hosted AI trading platform with strategy evolution, technical analysis, backtesting, and paper trading via Alpaca.",True,False,False,False,rmbell09-lang/tradesight
Orallexa,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,51,https://github.com/alex-jb/orallexa-ai-trading-agent,"AI trading operating system with 9 ML models (RF, XGBoost, EMAformer, MOIRAI-2, Chronos-2, DDPM, PPO RL, GNN, LR) ranked by Sharpe ratio, Claude AI synthesis with dual-tier routing (~$0.003/analysis), real-time Next.js dashboard, Alpaca paper trading, and 277 automated tests.",True,False,False,False,alex-jb/orallexa-ai-trading-agent
Vibe-Trading,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,15009,https://github.com/HKUDS/Vibe-Trading,"Natural-language multi-agent finance research agent with 29 swarm presets, 70 skills, and 28 auto-discovered tools; 7 backtest engines covering A-shares/US/Crypto/Futures/Forex/Options plus a cross-market CompositeEngine with shared capital pool; 5-source auto-fallback data layer (tushare/okx/yfinance/akshare/ccxt); 17-tool MCP server; includes trade-journal behavioral diagnostics for 同花顺/东财/富途 exports.",True,False,False,False,HKUDS/Vibe-Trading
Vibe-Trading,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,15112,https://github.com/HKUDS/Vibe-Trading,"Natural-language multi-agent finance research agent with 29 swarm presets, 70 skills, and 28 auto-discovered tools; 7 backtest engines covering A-shares/US/Crypto/Futures/Forex/Options plus a cross-market CompositeEngine with shared capital pool; 5-source auto-fallback data layer (tushare/okx/yfinance/akshare/ccxt); 17-tool MCP server; includes trade-journal behavioral diagnostics for 同花顺/东财/富途 exports.",True,False,False,False,HKUDS/Vibe-Trading
DeepAlpha,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-12,29,https://deepalphabot.com,"AI crypto trading bot for Bybit with 70.9% walk-forward validated accuracy on out-of-sample data, LightGBM + XGBoost ensemble with 72 ML features. [GitHub](https://github.com/stefanoviana/deepalpha)",True,False,False,False,stefanoviana/deepalpha
the0,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-24,265,https://github.com/alexanderwanyoike/the0,"Self-hosted execution engine for algorithmic trading bots. Write strategies in Python, TypeScript, Rust, C++, C#, Scala, or Haskell and deploy with one command. Each bot runs in an isolated container with scheduled or streaming execution.",True,False,False,False,alexanderwanyoike/the0
Investing algorithm framework,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-24,1289,https://github.com/coding-kitties/investing-algorithm-framework,"Framework for developing, backtesting, and deploying automated trading algorithms.",True,False,False,False,coding-kitties/investing-algorithm-framework
@@ -144,11 +144,11 @@ QuantSoftware Toolkit,Python,Python,Trading & Backtesting,Trading & Backtesting,
quantitative,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2019-03-03,67,https://github.com/jeffrey-liang/quantitative,"Quantitative finance, and backtesting library.",True,False,False,False,jeffrey-liang/quantitative
analyzer,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2015-12-22,216,https://github.com/llazzaro/analyzer,Python framework for real-time financial and backtesting trading strategies.,True,False,False,False,llazzaro/analyzer
bt,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-22,2899,https://github.com/pmorissette/bt,Flexible Backtesting for Python.,True,False,False,False,pmorissette/bt
backtrader,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-04-19,22192,https://github.com/backtrader/backtrader,Python Backtesting library for trading strategies.,True,False,False,False,backtrader/backtrader
backtrader,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-04-19,22194,https://github.com/backtrader/backtrader,Python Backtesting library for trading strategies.,True,False,False,False,backtrader/backtrader
pythalesians,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2016-09-23,63,https://github.com/thalesians/pythalesians,"Python library to backtest trading strategies, plot charts, seamlessly download market data, analyze market patterns etc.",True,False,False,False,thalesians/pythalesians
pybacktest,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2019-09-09,821,https://github.com/ematvey/pybacktest,"Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier.",True,False,False,False,ematvey/pybacktest
pyalgotrade,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-03-05,4662,https://github.com/gbeced/pyalgotrade,Python Algorithmic Trading Library.,True,False,False,False,gbeced/pyalgotrade
basana,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-15,847,https://github.com/gbeced/basana,"A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.",True,False,False,False,gbeced/basana
basana,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-15,848,https://github.com/gbeced/basana,"A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.",True,False,False,False,gbeced/basana
algobroker,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2016-03-31,96,https://github.com/joequant/algobroker,This is an execution engine for algo trading.,True,False,False,False,joequant/algobroker
finmarketpy,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-16,3785,https://github.com/cuemacro/finmarketpy,Python library for backtesting trading strategies and analyzing financial markets.,True,False,False,False,cuemacro/finmarketpy
binary-martingale,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2017-10-16,48,https://github.com/metaperl/binary-martingale,Computer program to automatically trade binary options martingale style.,True,False,False,False,metaperl/binary-martingale
@@ -161,7 +161,7 @@ moonshot,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backt
pyqstrat,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-11-05,372,https://github.com/abbass2/pyqstrat,"A fast, extensible, transparent python library for backtesting quantitative strategies.",True,False,False,False,abbass2/pyqstrat
NowTrade,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2017-02-07,102,https://github.com/edouardpoitras/NowTrade,Python library for backtesting technical/mechanical strategies in the stock and currency markets.,True,False,False,False,edouardpoitras/NowTrade
pinkfish,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,300,https://github.com/fja05680/pinkfish,A backtester and spreadsheet library for security analysis.,True,False,False,False,fja05680/pinkfish
PRISM-INSIGHT,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,658,https://github.com/dragon1086/prism-insight,"AI-powered stock analysis system with 13 specialized agents, automated trading via KIS API, supporting Korean & US markets.",True,False,False,False,dragon1086/prism-insight
PRISM-INSIGHT,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,659,https://github.com/dragon1086/prism-insight,"AI-powered stock analysis system with 13 specialized agents, automated trading via KIS API, supporting Korean & US markets.",True,False,False,False,dragon1086/prism-insight
FinClaw,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-18,21,https://github.com/NeuZhou/finclaw,"AI-powered financial intelligence engine with 8 master strategies across US, CN, and HK markets. Multi-agent architecture with +29.1% annual alpha. 227 tests.",True,False,False,False,NeuZhou/finclaw
aat,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-22,823,https://github.com/timkpaine/aat,Async Algorithmic Trading Engine.,True,False,False,False,timkpaine/aat
Backtesting.py,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,,0,https://kernc.github.io/backtesting.py/,Backtest trading strategies in Python.,False,False,False,False,
@@ -170,37 +170,37 @@ quantstats,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-bac
jquantstats,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-28,41,https://github.com/Jebel-Quant/jquantstats,"Modern variation of quantstats, with additional features and performance improvements.",True,False,False,False,Jebel-Quant/jquantstats
qtpylib,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2021-03-24,2269,https://github.com/ranaroussi/qtpylib,"QTPyLib, Pythonic Algorithmic Trading <http://qtpylib.io>.",True,False,False,False,ranaroussi/qtpylib
Quantdom,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2019-03-12,770,https://github.com/constverum/Quantdom,Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:.],True,False,False,False,constverum/Quantdom
freqtrade,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,51941,https://github.com/freqtrade/freqtrade,"Free, open source crypto trading bot.",True,False,False,False,freqtrade/freqtrade
freqtrade,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,51943,https://github.com/freqtrade/freqtrade,"Free, open source crypto trading bot.",True,False,False,False,freqtrade/freqtrade
algorithmic-trading-with-python,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2021-06-01,3405,https://github.com/chrisconlan/algorithmic-trading-with-python,"Free `pandas` and `scikit-learn` resources for trading simulation, backtesting, and machine learning on financial data.",True,False,False,False,chrisconlan/algorithmic-trading-with-python
Qlib,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-22,45392,https://github.com/microsoft/qlib,"An AI-oriented Quantitative Investment Platform by Microsoft. Full ML pipeline of data processing, model training, back-testing; and covers the entire chain of quantitative investment: alpha seeking, risk modeling, portfolio optimization, and order execution.",True,False,False,False,microsoft/qlib
machine-learning-for-trading,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,19423,https://github.com/stefan-jansen/machine-learning-for-trading,Code and resources for Machine Learning for Algorithmic Trading.,True,False,False,False,stefan-jansen/machine-learning-for-trading
Qlib,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-22,45396,https://github.com/microsoft/qlib,"An AI-oriented Quantitative Investment Platform by Microsoft. Full ML pipeline of data processing, model training, back-testing; and covers the entire chain of quantitative investment: alpha seeking, risk modeling, portfolio optimization, and order execution.",True,False,False,False,microsoft/qlib
machine-learning-for-trading,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,19429,https://github.com/stefan-jansen/machine-learning-for-trading,Code and resources for Machine Learning for Algorithmic Trading.,True,False,False,False,stefan-jansen/machine-learning-for-trading
AlphaPy,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-08-24,1734,https://github.com/ScottfreeLLC/AlphaPy,"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.",True,False,False,False,ScottfreeLLC/AlphaPy
jesse,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,8122,https://github.com/jesse-ai/jesse,An advanced crypto trading bot written in Python.,True,False,False,False,jesse-ai/jesse
jesse,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,8121,https://github.com/jesse-ai/jesse,An advanced crypto trading bot written in Python.,True,False,False,False,jesse-ai/jesse
rqalpha,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-24,6526,https://github.com/ricequant/rqalpha,"A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities.",True,False,False,False,ricequant/rqalpha
FinRL-Library,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-05,15552,https://github.com/AI4Finance-LLC/FinRL-Library,A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020.,True,False,False,False,AI4Finance-LLC/FinRL-Library
FinRL-Library,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-05,15554,https://github.com/AI4Finance-LLC/FinRL-Library,A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020.,True,False,False,False,AI4Finance-LLC/FinRL-Library
aurumq-rl,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-07,18,https://github.com/yupoet/aurumq-rl,"Reinforcement learning stock-selection framework for the China A-share market with multi-source factor input (alpha101 + main-force flow + hot-money seats + northbound + institutional + fundamentals), board-aware price limits, and ONNX CPU inference.",True,False,False,False,yupoet/aurumq-rl
bulbea,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2017-03-19,2303,https://github.com/achillesrasquinha/bulbea,Deep Learning based Python Library for Stock Market Prediction and Modelling.,True,False,False,False,achillesrasquinha/bulbea
ib_nope,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2021-04-22,33,https://github.com/ajhpark/ib_nope,Automated trading system for NOPE strategy over IBKR TWS.,True,False,False,False,ajhpark/ib_nope
OctoBot,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-16,6172,https://github.com/Drakkar-Software/OctoBot,"Open source cryptocurrency trading bot for high frequency, arbitrage, TA and social trading with an advanced web interface.",True,False,False,False,Drakkar-Software/OctoBot
OctoBot,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-16,6173,https://github.com/Drakkar-Software/OctoBot,"Open source cryptocurrency trading bot for high frequency, arbitrage, TA and social trading with an advanced web interface.",True,False,False,False,Drakkar-Software/OctoBot
OpenFinClaw,Python,"Python,Rust",Trading & Backtesting,Trading & Backtesting,trading-backtesting,error,0,https://github.com/cryptoSUN2049/openFinclaw,"AI-native hedge fund platform: natural language strategy generation, Rust backtesting engine, multi-market execution, and self-evolving strategy pipeline with community leaderboard.",True,False,False,False,cryptoSUN2049/openFinclaw
Stock-Prediction-Models,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2021-01-05,9408,https://github.com/huseinzol05/Stock-Prediction-Models,Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations.,True,False,False,False,huseinzol05/Stock-Prediction-Models
AutoTrader,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-05-04,1270,https://github.com/kieran-mackle/AutoTrader,A Python-based development platform for automated trading systems - from backtesting to optimization to livetrading.,True,False,False,False,kieran-mackle/AutoTrader
fast-trade,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-21,568,https://github.com/jrmeier/fast-trade,A library built with backtest portability and performance in mind for backtest trading strategies.,True,False,False,False,jrmeier/fast-trade
qf-lib,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,947,https://github.com/quarkfin/qf-lib,QF-Lib is a Python library that provides high quality tools for quantitative finance.,True,False,False,False,quarkfin/qf-lib
tda-api,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-06-16,1318,https://github.com/alexgolec/tda-api,"Gather data and trade equities, options, and ETFs via TDAmeritrade.",True,False,False,False,alexgolec/tda-api
vectorbt,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,8085,https://github.com/polakowo/vectorbt,"Find your trading edge, using a powerful toolkit for backtesting, algorithmic trading, and research.",True,False,False,False,polakowo/vectorbt
Lean,Python,"Python,C#",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,20255,https://github.com/QuantConnect/Lean,"Lean Algorithmic Trading Engine by QuantConnect (Python, C#).",True,False,False,False,QuantConnect/Lean
pysystemtrade,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-08,3367,https://github.com/robcarver17/pysystemtrade,"pysystemtrade is the open source version of Robert Carver's backtesting and trading engine that implements systems according to the framework outlined in his book ""Systematic Trading"", which is further developed on his [blog](https://qoppac.blogspot.com/).",True,False,False,False,robcarver17/pysystemtrade
vectorbt,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,8086,https://github.com/polakowo/vectorbt,"Find your trading edge, using a powerful toolkit for backtesting, algorithmic trading, and research.",True,False,False,False,polakowo/vectorbt
Lean,Python,"Python,C#",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,20256,https://github.com/QuantConnect/Lean,"Lean Algorithmic Trading Engine by QuantConnect (Python, C#).",True,False,False,False,QuantConnect/Lean
pysystemtrade,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-08,3368,https://github.com/robcarver17/pysystemtrade,"pysystemtrade is the open source version of Robert Carver's backtesting and trading engine that implements systems according to the framework outlined in his book ""Systematic Trading"", which is further developed on his [blog](https://qoppac.blogspot.com/).",True,False,False,False,robcarver17/pysystemtrade
pytrendseries,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-30,166,https://github.com/rafa-rod/pytrendseries,"Detect trend in time series, drawdown, drawdown within a constant look-back window , maximum drawdown, time underwater.",True,False,False,False,rafa-rod/pytrendseries
PyLOB,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-01-01,201,https://github.com/DrAshBooth/PyLOB,Fully functioning fast Limit Order Book written in Python.,True,False,False,False,DrAshBooth/PyLOB
PyBroker,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-11,3439,https://github.com/edtechre/pybroker,Algorithmic Trading with Machine Learning.,True,False,False,False,edtechre/pybroker
OctoBot Script,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-30,43,https://github.com/Drakkar-Software/OctoBot-Script,A quant framework to create cryptocurrencies strategies - from backtesting to optimization to livetrading.,True,False,False,False,Drakkar-Software/OctoBot-Script
hftbacktest,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-12-23,4234,https://github.com/nkaz001/hftbacktest,"A high-frequency trading and market-making backtesting tool accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.",True,False,False,False,nkaz001/hftbacktest
flashalpha-fill-simulator,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-16,2,https://github.com/FlashAlpha-lab/flashalpha-fill-simulator,"Realistic limit-order fill simulator for options credit/debit spreads with post-and-wait limits, stale-quote guards, deterministic same-bar tiebreaks, and a patient-then-cross exit; engine-agnostic and zero runtime dependencies.",True,False,False,False,FlashAlpha-lab/flashalpha-fill-simulator
vnpy,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-17,42395,https://github.com/vnpy/vnpy,VeighNa is a Python-based open source quantitative trading system development framework.,True,False,False,False,vnpy/vnpy
vnpy,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-17,42412,https://github.com/vnpy/vnpy,VeighNa is a Python-based open source quantitative trading system development framework.,True,False,False,False,vnpy/vnpy
Intelligent Trading Bot,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-01,1740,https://github.com/asavinov/intelligent-trading-bot,Automatically generating signals and trading based on machine learning and feature engineering.,True,False,False,False,asavinov/intelligent-trading-bot
fastquant,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-09-15,1751,https://github.com/enzoampil/fastquant,fastquant allows you to easily backtest investment strategies with as few as 3 lines of python code.,True,False,False,False,enzoampil/fastquant
nautilus_trader,Python,"Python,Rust",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,24309,https://github.com/nautechsystems/nautilus_trader,A high-performance algorithmic trading platform and event-driven backtester.,True,False,False,False,nautechsystems/nautilus_trader
nautilus_trader,Python,"Python,Rust",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,24317,https://github.com/nautechsystems/nautilus_trader,A high-performance algorithmic trading platform and event-driven backtester.,True,False,False,False,nautechsystems/nautilus_trader
YABTE,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-05-11,6,https://github.com/bsdz/yabte,Yet Another (Python) BackTesting Engine.,True,False,False,False,bsdz/yabte
Trading Strategy,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,229,https://github.com/tradingstrategy-ai/getting-started,"TradingStrategy.ai is a market data, backtesting, live trading and investor management framework for decentralised finance.",True,False,False,False,tradingstrategy-ai/getting-started
Hikyuu,Python,"Python,C++",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,3296,https://github.com/fasiondog/hikyuu,"A base on Python/C++ open source high-performance quant framework for faster analysis and backtesting, contains the complete trading system components for reuse and combination.",True,False,False,False,fasiondog/hikyuu
@@ -219,12 +219,12 @@ pa,R,R,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-08-2
QuantTools,R,R,Trading & Backtesting,Trading & Backtesting,trading-backtesting,,0,https://quanttools.bitbucket.io/_site/index.html,Enhanced Quantitative Trading Modelling.,False,False,False,False,
blotter,R,R,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-12-13,117,https://github.com/braverock/blotter,"Transaction infrastructure for defining instruments, transactions, portfolios and accounts for trading systems and simulation. Provides portfolio support for multi-asset class and multi-currency portfolios. Actively maintained and developed.",True,False,False,False,braverock/blotter
quantstrat,R,R,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-09-14,305,https://github.com/braverock/quantstrat,Transaction-oriented infrastructure for constructing trading systems and simulation. Provides support for multi-asset class and multi-currency portfolios for backtesting and other financial research.,True,False,False,False,braverock/quantstrat
QUANTAXIS,Matlab,Matlab,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-02-28,10797,https://github.com/yutiansut/quantaxis,Integrated Quantitative Toolbox with Matlab.,True,False,False,False,yutiansut/quantaxis
QUANTAXIS,Matlab,Matlab,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-02-28,10798,https://github.com/yutiansut/quantaxis,Integrated Quantitative Toolbox with Matlab.,True,False,False,False,yutiansut/quantaxis
PROJ_Option_Pricing_Matlab,Matlab,Matlab,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-11-19,208,https://github.com/jkirkby3/PROJ_Option_Pricing_Matlab,"Quant Option Pricing - Exotic/Vanilla: Barrier, Asian, European, American, Parisian, Lookback, Cliquet, Variance Swap, Swing, Forward Starting, Step, Fader.",True,False,False,False,jkirkby3/PROJ_Option_Pricing_Matlab
Fastback.jl,Julia,Julia,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-05,20,https://github.com/rbeeli/Fastback.jl,Blazing fast Julia backtester.,True,False,False,False,rbeeli/Fastback.jl
Lucky.jl,Julia,Julia,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-25,28,https://github.com/oliviermilla/Lucky.jl,"Modular, asynchronous trading engine in pure Julia.",True,False,False,False,oliviermilla/Lucky.jl
Strategems.jl,Julia,Julia,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2021-04-06,167,https://github.com/dysonance/Strategems.jl,Quantitative systematic trading strategy development and backtesting.,True,False,False,False,dysonance/Strategems.jl
ccxt,JavaScript,"JavaScript,Python,PHP",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,43126,https://github.com/ccxt/ccxt,A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges.,True,False,False,False,ccxt/ccxt
ccxt,JavaScript,"JavaScript,Python,PHP",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,43127,https://github.com/ccxt/ccxt,A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges.,True,False,False,False,ccxt/ccxt
binance-fix-connector-python,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-26,0,https://github.com/AlexanderMerkel/binance-fix-connector-python,"Async Python connector for Binance Spot FIX sessions with Order Entry, Market Data, and Drop Copy support.",True,False,False,False,AlexanderMerkel/binance-fix-connector-python
Jiji,Ruby,Ruby,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2019-01-22,250,https://github.com/unageanu/jiji2,Open Source Forex algorithmic trading framework using OANDA REST API.,True,False,False,False,unageanu/jiji2
Tai,Elixir/Erlang,Elixir/Erlang,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-12-06,499,https://github.com/fremantle-capital/tai,"Open Source composable, real time, market data and trade execution toolkit.",True,False,False,False,fremantle-capital/tai
@@ -236,8 +236,8 @@ Hikyuu,Python,"Python,C++",Trading & Backtesting,Trading & Backtesting,trading-b
OrderMatchingEngine,CPP,CPP,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-01-11,149,https://github.com/PIYUSH-KUMAR1809/order-matching-engine,"A production-grade, lock-free, high-frequency trading matching engine achieving 150M+ orders/sec.",True,False,False,False,PIYUSH-KUMAR1809/order-matching-engine
PandoraTrader,CPP,CPP,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-07-29,1422,https://github.com/pegasusTrader/PandoraTrader,"A C++ CTP trading framework, with very clear logic.",True,False,False,False,pegasusTrader/PandoraTrader
NexusFix,CPP,CPP,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-20,58,https://github.com/SilverstreamsAI/NexusFix,"C++23 FIX protocol engine with zero-copy parsing and SIMD acceleration, 3x faster than QuickFIX.",True,False,False,False,SilverstreamsAI/NexusFix
QuantConnect,CSharp,CSharp,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,20255,https://github.com/QuantConnect/Lean,Lean Engine is an open-source fully managed C# algorithmic trading engine built for desktop and cloud usage.,True,False,False,False,QuantConnect/Lean
StockSharp,CSharp,CSharp,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-22,10216,https://github.com/StockSharp/StockSharp,"Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).",True,False,False,False,StockSharp/StockSharp
QuantConnect,CSharp,CSharp,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,20256,https://github.com/QuantConnect/Lean,Lean Engine is an open-source fully managed C# algorithmic trading engine built for desktop and cloud usage.,True,False,False,False,QuantConnect/Lean
StockSharp,CSharp,CSharp,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-22,10218,https://github.com/StockSharp/StockSharp,"Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).",True,False,False,False,StockSharp/StockSharp
TDAmeritrade.DotNetCore,CSharp,CSharp,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-03-10,56,https://github.com/NVentimiglia/TDAmeritrade.DotNetCore,"Free, open-source .NET Client for the TD Ameritrade Trading Platform. Helps developers integrate TD Ameritrade API into custom trading solutions.",True,False,False,False,NVentimiglia/TDAmeritrade.DotNetCore
Barter,Rust,Rust,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-09,2183,https://github.com/barter-rs/barter-rs,Open-source Rust framework for building event-driven live-trading & backtesting systems.,True,False,False,False,barter-rs/barter-rs
LFEST,Rust,Rust,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-07,81,https://github.com/MathisWellmann/lfest-rs,Simulated perpetual futures exchange to trade your strategy against.,True,False,False,False,MathisWellmann/lfest-rs
@@ -282,7 +282,7 @@ PerformanceAnalytics,R,R,Portfolio Optimization & Risk Analysis,Portfolio Optimi
OnlinePortfolioAnalytics.jl,Julia,Julia,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-04-13,14,https://github.com/femtotrader/OnlinePortfolioAnalytics.jl,A Julia quantitative portfolio analytics (risk / performance) via online algorithms.,True,False,False,False,femtotrader/OnlinePortfolioAnalytics.jl
RiskPerf.jl,Julia,Julia,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-04-12,15,https://github.com/rbeeli/RiskPerf.jl,Quantitative risk and performance analysis package for financial time series powered by the Julia language.,True,False,False,False,rbeeli/RiskPerf.jl
portfolio-allocation,JavaScript,JavaScript,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2022-08-11,187,https://github.com/lequant40/portfolio_allocation_js,"PortfolioAllocation is a JavaScript library designed to help constructing financial portfolios made of several assets: bonds, commodities, cryptocurrencies, currencies, exchange traded funds (ETFs), mutual funds, stocks...",True,False,False,False,lequant40/portfolio_allocation_js
Ghostfolio,JavaScript,JavaScript,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-06-29,8870,https://github.com/ghostfolio/ghostfolio,"Wealth management software to keep track of financial assets like stocks, ETFs or cryptocurrencies and make solid, data-driven investment decisions.",True,False,False,False,ghostfolio/ghostfolio
Ghostfolio,JavaScript,JavaScript,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-06-29,8872,https://github.com/ghostfolio/ghostfolio,"Wealth management software to keep track of financial assets like stocks, ETFs or cryptocurrencies and make solid, data-driven investment decisions.",True,False,False,False,ghostfolio/ghostfolio
rebalance,JavaScript,JavaScript,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-03-01,2,https://github.com/cjroth/rebalance,"Interactive portfolio rebalancing tool that imports brokerage CSV data, sets target allocations, and generates trade instructions.",True,False,False,False,cjroth/rebalance
Alpha Skills,Python,Python,Factor Analysis,Factor Analysis,factor-analysis,2026-04-14,55,https://github.com/VernonOY/alpha-skills,"AI skills for quantitative factor research: discover, evaluate, mine, backtest, and monitor factors through any AI coding assistant. Supports A-share, HK, and US markets.",True,False,False,False,VernonOY/alpha-skills
alphalens,Python,Python,Factor Analysis,Factor Analysis,factor-analysis,2020-04-27,4350,https://github.com/quantopian/alphalens,Performance analysis of predictive alpha factors.,True,False,False,False,quantopian/alphalens
@@ -298,14 +298,14 @@ Social Stock Sentiment API,Python,Python,Sentiment Analysis & Alternative Data,S
CoWorker Fin-Agent,Python,Python,Sentiment Analysis & Alternative Data,Sentiment Analysis & Alternative Data,sentiment-analysis-alternative-data,2026-04-04,18,https://github.com/ZiwayZhao/agent-coworker,"LLM-powered A-share stock analysis via P2P agent collaboration. Technical analysis (MA60, volume-price patterns, golden eye), deep research reports using proprietary methodology, and market state summaries. Analysis logic stays private via Skill-as-API protocol.",True,False,False,False,ZiwayZhao/agent-coworker
StockKit,TypeScript,TypeScript,Sentiment Analysis & Alternative Data,Sentiment Analysis & Alternative Data,sentiment-analysis-alternative-data,2026-05-07,1,https://stockkit.net/,"Free AI-powered stock research reports for US, China & HK using Claude Opus and multi-model AI with 20+ technical indicators. [GitHub](https://github.com/kentmswood-ui/stockkit)",True,False,False,False,kentmswood-ui/stockkit
ARCH,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-06-22,1534,https://github.com/bashtage/arch,ARCH models in Python.,True,False,False,False,bashtage/arch
statsmodels,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-06-27,11485,http://statsmodels.sourceforge.net,"Python module that allows users to explore data, estimate statistical models, and perform statistical tests. [GitHub](https://github.com/statsmodels/statsmodels)",True,False,False,False,statsmodels/statsmodels
statsmodels,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-06-27,11488,http://statsmodels.sourceforge.net,"Python module that allows users to explore data, estimate statistical models, and perform statistical tests. [GitHub](https://github.com/statsmodels/statsmodels)",True,False,False,False,statsmodels/statsmodels
dynts,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2016-11-02,87,https://github.com/quantmind/dynts,Python package for timeseries analysis and manipulation.,True,False,False,False,quantmind/dynts
PyFlux,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2018-12-16,2138,https://github.com/RJT1990/pyflux,Python library for timeseries modelling and inference (frequentist and Bayesian) on models.,True,False,False,False,RJT1990/pyflux
tsfresh,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-06-08,9257,https://github.com/blue-yonder/tsfresh,Automatic extraction of relevant features from time series.,True,False,False,False,blue-yonder/tsfresh
Facebook Prophet,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-02-02,20265,https://github.com/facebook/prophet,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.,True,False,False,False,facebook/prophet
tsfresh,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-06-08,9258,https://github.com/blue-yonder/tsfresh,Automatic extraction of relevant features from time series.,True,False,False,False,blue-yonder/tsfresh
Facebook Prophet,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-02-02,20266,https://github.com/facebook/prophet,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.,True,False,False,False,facebook/prophet
tsmoothie,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2023-11-23,771,https://github.com/cerlymarco/tsmoothie,A python library for time-series smoothing and outlier detection in a vectorized way.,True,False,False,False,cerlymarco/tsmoothie
pmdarima,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2025-11-17,1725,https://github.com/alkaline-ml/pmdarima,"A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.",True,False,False,False,alkaline-ml/pmdarima
gluon-ts,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-06-16,5206,https://github.com/awslabs/gluon-ts,vProbabilistic time series modeling in Python.,True,False,False,False,awslabs/gluon-ts
gluon-ts,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-06-16,5208,https://github.com/awslabs/gluon-ts,vProbabilistic time series modeling in Python.,True,False,False,False,awslabs/gluon-ts
OmniOracle,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-03-23,6,https://github.com/cesabici-bit/omni-oracle,"Automatic discovery of non-trivial statistical relationships across 500+ time series from FRED, World Bank, EIA, and NOAA using mutual information screening, lagged MI directional testing, and FDR correction.",True,False,False,False,cesabici-bit/omni-oracle
functime,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-05-03,1180,https://github.com/functime-org/functime,Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.,True,False,False,False,functime-org/functime
wasserstein-btc,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-05-24,1,https://github.com/AccursedGalaxy/wasserstein-btc,"Distributional forecasting of crypto log-returns by tangent-space geodesic extrapolation on the 2-Wasserstein manifold (quantile-function coordinates). Walk-forward CRPS evaluation over 6.75 years across 4 assets × 3 horizons; benchmarked against classical baselines (Static / RW-Drift / HS-Bootstrap / GARCH-N / GARCH-t / GJR-GARCH-t) and a named-econometric panel (HAR-RV, CAViaR-SAV, Markov-switching Normal, FIGARCH, AR(1) Stochastic Volatility, bivariate VAR+GARCH). [Live dashboard](https://accursedgalaxy.github.io/wasserstein-btc/).",True,False,False,False,AccursedGalaxy/wasserstein-btc
@@ -323,16 +323,16 @@ garchmodels,R,R,Time Series Analysis,Time Series Analysis,time-series-analysis,2
TimeSeries.jl,Julia,Julia,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-03-30,368,https://github.com/JuliaStats/TimeSeries.jl,Time series toolkit for Julia.,True,False,False,False,JuliaStats/TimeSeries.jl
TimeFrames.jl,Julia,Julia,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-03-09,4,https://github.com/femtotrader/TimeFrames.jl,A Julia library that defines TimeFrame (essentially for resampling TimeSeries).,True,False,False,False,femtotrader/TimeFrames.jl
BTC Orderbook Microstructure Research,Jupyter Notebook,Jupyter Notebook,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-21,5,https://github.com/whoareunot/btc-orderbook-research,"statistical analysis of Binance BTC/USDT orderbook: OBI, CVD, spread.",True,False,False,False,whoareunot/btc-orderbook-research
OpenBB Terminal,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-06-25,69845,https://github.com/OpenBB-finance/OpenBBTerminal,Terminal for investment research for everyone.,True,False,False,False,OpenBB-finance/OpenBBTerminal
Fincept Terminal,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-06-24,27656,https://github.com/Fincept-Corporation/FinceptTerminal,Advance Data Based A.I Terminal for all Types of Financial Asset Research.,True,False,False,False,Fincept-Corporation/FinceptTerminal
yfinance,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-06-28,24450,https://github.com/ranaroussi/yfinance,Yahoo! Finance market data downloader (+faster Pandas Datareader).,True,False,False,False,ranaroussi/yfinance
OpenBB Terminal,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-06-25,69846,https://github.com/OpenBB-finance/OpenBBTerminal,Terminal for investment research for everyone.,True,False,False,False,OpenBB-finance/OpenBBTerminal
Fincept Terminal,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-06-24,27663,https://github.com/Fincept-Corporation/FinceptTerminal,Advance Data Based A.I Terminal for all Types of Financial Asset Research.,True,False,False,False,Fincept-Corporation/FinceptTerminal
yfinance,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-06-28,24452,https://github.com/ranaroussi/yfinance,Yahoo! Finance market data downloader (+faster Pandas Datareader).,True,False,False,False,ranaroussi/yfinance
coinpaprika-api-python-client,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-06-02,18,https://github.com/coinpaprika/coinpaprika-api-python-client,"Free crypto market data API client. 12,000+ coins, 350+ exchanges, tickers, OHLCV, historical prices. No API key for free tier.",True,False,False,False,coinpaprika/coinpaprika-api-python-client
defeatbeta-api,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-06-10,679,https://github.com/defeat-beta/defeatbeta-api,An open-source alternative to Yahoo Finance's market data APIs with higher reliability.,True,False,False,False,defeat-beta/defeatbeta-api
defeatbeta-api,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-06-10,680,https://github.com/defeat-beta/defeatbeta-api,An open-source alternative to Yahoo Finance's market data APIs with higher reliability.,True,False,False,False,defeat-beta/defeatbeta-api
financekit-mcp,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-17,5,https://github.com/vdalhambra/financekit-mcp,"MCP server (Model Context Protocol) exposing 17 tools for AI agents to perform quantitative analysis: real-time stock quotes, full technical analysis (RSI, MACD, Bollinger, ADX, Stochastic, ATR, OBV + pattern detection with structured verdicts), crypto prices via CoinGecko, risk metrics (VaR, Sharpe, Sortino, Beta, Max Drawdown), correlation matrix, options chains, earnings calendar, sector rotation, and portfolio analysis. Works with Claude Desktop, Cursor, Windsurf. No API keys for core tools. FastMCP 3.2.",True,False,False,False,vdalhambra/financekit-mcp
dexpaprika-sdk-python,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-06-02,9,https://github.com/coinpaprika/dexpaprika-sdk-python,"Free DEX data API client. 34 blockchains, 30M+ pools, 27M+ tokens, real-time SSE streaming, OHLCV. No API key needed.",True,False,False,False,coinpaprika/dexpaprika-sdk-python
pricehub,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-06-17,39,https://github.com/eslazarev/pricehub,"Unified package for collecting OHLC prices from Binance, Bybit, Coinbase, OKX, Kraken, KuCoin, and Bitget (spot & futures) into a DataFrame, with flexible timestamp inputs and a wide range of intervals.",True,False,False,False,eslazarev/pricehub
Helium MCP,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-06-16,9,https://heliumtrades.com/mcp-page/,"Live stock/ETF/crypto data with AI-generated bull/bear cases and price forecasts, proprietary ML options pricing with probability ITM and fair value, and news bias scoring across 5,000+ sources. Available as MCP server or API. Free tier: 50 queries, no signup. [GitHub](https://github.com/connerlambden/helium-mcp)",True,False,False,False,connerlambden/helium-mcp
findatapy,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-11,2064,https://github.com/cuemacro/findatapy,"Python library to download market data via Bloomberg, Quandl, Yahoo etc.",True,False,False,False,cuemacro/findatapy
findatapy,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-11,2063,https://github.com/cuemacro/findatapy,"Python library to download market data via Bloomberg, Quandl, Yahoo etc.",True,False,False,False,cuemacro/findatapy
googlefinance,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2018-09-23,827,https://github.com/hongtaocai/googlefinance,Python module to get real-time stock data from Google Finance API.,True,False,False,False,hongtaocai/googlefinance
Horus Flow,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-05-16,1,https://github.com/horustechltd/horus-flow-mcp,Sub-second L2 orderflow intelligence MCP server for institutional-grade market microstructure analysis.,True,False,False,False,horustechltd/horus-flow-mcp
yahoo-finance,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2021-12-15,1440,https://github.com/lukaszbanasiak/yahoo-finance,Python module to get stock data from Yahoo! Finance.,True,False,False,False,lukaszbanasiak/yahoo-finance
@@ -364,7 +364,7 @@ ccy,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-d
tushare,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2024-08-27,0,https://pypi.org/project/tushare/,A utility for crawling historical and Real-time Quotes data of China stocks. (Last updated: 2024-08-27).,False,False,True,False,
edinetdb,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,,0,https://edinetdb.com/,"Free API and MCP server for Japanese company financials. Normalizes EDINET XBRL across JP-GAAP, IFRS, and US-GAAP for 3,800+ listed companies with 90 metrics, screening, and securities report text.",False,False,False,False,
edinet-mcp,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-22,12,https://github.com/ajtgjmdjp/edinet-mcp,"Parse Japanese XBRL financial statements from EDINET with 161 normalized labels, 26 financial metrics, and multi-company screening.",True,False,False,False,ajtgjmdjp/edinet-mcp
estat-mcp,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-05,5,https://github.com/ajtgjmdjp/estat-mcp,"Access Japanese government statistics (e-Stat) covering population, GDP, CPI, labor, and trade data with MCP integration and Polars export.",True,False,False,False,ajtgjmdjp/estat-mcp
estat-mcp,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-05,6,https://github.com/ajtgjmdjp/estat-mcp,"Access Japanese government statistics (e-Stat) covering population, GDP, CPI, labor, and trade data with MCP integration and Polars export.",True,False,False,False,ajtgjmdjp/estat-mcp
tdnet-disclosure-mcp,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-03-02,3,https://github.com/ajtgjmdjp/tdnet-disclosure-mcp,"Access Japanese timely disclosures (TDNet) via MCP. Retrieve earnings, dividends, forecasts, buybacks, and other filings for 4,000+ listed companies. No API key required.",True,False,False,False,ajtgjmdjp/tdnet-disclosure-mcp
bigtech-ai-stakes,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-05-09,2,https://github.com/YichengYang-Ethan/bigtech-ai-stakes,"Open dataset of U.S. public-company equity stakes in Anthropic and OpenAI from primary 10-K / 10-Q / 8-K filings, court records, and press releases. Each row tagged with a confidence flag (V verified, P probable, S speculative).",True,False,False,False,YichengYang-Ethan/bigtech-ai-stakes
cn_stock_src,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2016-02-29,34,https://github.com/jealous/cn_stock_src,Utility for retrieving basic China stock data from different sources.,True,False,False,False,jealous/cn_stock_src
@@ -379,14 +379,14 @@ iexfinance,Python,Python,Market Data & Data Sources,Market Data & Data Sources,m
pyEX,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2024-02-05,409,https://github.com/timkpaine/pyEX,"Python interface to IEX with emphasis on pandas, support for streaming data, premium data, points data (economic, rates, commodities), and technical indicators.",True,False,False,False,timkpaine/pyEX
alpaca-trade-api,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2024-01-12,1878,https://github.com/alpacahq/alpaca-trade-api-python,Python interface for retrieving real-time and historical prices from Alpaca API as well as trade execution.,True,False,False,False,alpacahq/alpaca-trade-api-python
metatrader5,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-04,0,https://pypi.org/project/MetaTrader5/,API Connector to MetaTrader 5 Terminal. (Last updated: 2026-02-20).,False,False,True,False,
akshare,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-05-27,20834,https://github.com/jindaxiang/akshare,"AkShare is an elegant and simple financial data interface library for Python, built for human beings! <https://akshare.readthedocs.io>.",True,False,False,False,jindaxiang/akshare
akshare,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-05-27,20835,https://github.com/jindaxiang/akshare,"AkShare is an elegant and simple financial data interface library for Python, built for human beings! <https://akshare.readthedocs.io>.",True,False,False,False,jindaxiang/akshare
yahooquery,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2025-05-15,913,https://github.com/dpguthrie/yahooquery,Python interface for retrieving data through unofficial Yahoo Finance API.,True,False,False,False,dpguthrie/yahooquery
investpy,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2022-10-02,1839,https://github.com/alvarobartt/investpy,Financial Data Extraction from Investing.com with Python! <https://investpy.readthedocs.io/>.,True,False,False,False,alvarobartt/investpy
yliveticker,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-03-28,170,https://github.com/yahoofinancelive/yliveticker,Live stream of market data from Yahoo Finance websocket.,True,False,False,False,yahoofinancelive/yliveticker
bbgbridge,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2020-01-07,2,https://github.com/ran404/bbgbridge,Easy to use Bloomberg Desktop API wrapper for Python.,True,False,False,False,ran404/bbgbridge
polygon.io,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-05-26,1472,https://github.com/polygon-io/client-python,A python library for Polygon.io financial data APIs.,True,False,False,False,polygon-io/client-python
SiftingIO,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-06-27,0,https://github.com/SiftingIO/sdk-python,A python library for Sifting.io financial market data APIs & Websocket.,True,False,False,False,SiftingIO/sdk-python
alpha_vantage,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-06-25,4846,https://github.com/RomelTorres/alpha_vantage,A python wrapper for Alpha Vantage API for financial data.,True,False,False,False,RomelTorres/alpha_vantage
alpha_vantage,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-06-25,4847,https://github.com/RomelTorres/alpha_vantage,A python wrapper for Alpha Vantage API for financial data.,True,False,False,False,RomelTorres/alpha_vantage
oilpriceapi,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-06-22,0,https://github.com/OilpriceAPI/python-sdk,"Python SDK for real-time oil and commodity prices (WTI, Brent, Urals, natural gas, coal) with OpenBB integration.",True,False,False,False,OilpriceAPI/python-sdk
FinanceDataReader,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-05-13,1505,https://github.com/FinanceData/FinanceDataReader,"Open Source Financial data reader for U.S, Korean, Japanese, Chinese, Vietnamese Stocks.",True,False,False,False,FinanceData/FinanceDataReader
pystlouisfed,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2024-01-09,21,https://github.com/TomasKoutek/pystlouisfed,"Python client for Federal Reserve Bank of St. Louis API - FRED, ALFRED, GeoFRED and FRASER.",True,False,False,False,TomasKoutek/pystlouisfed
@@ -434,11 +434,11 @@ marketstore,Golang,Golang,Market Data & Data Sources,Market Data & Data Sources,
fin-stream,Rust,Rust,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-03-23,9,https://github.com/Mattbusel/fin-stream,"Real-time market data streaming in Rust: lock-free SPSC ring buffer, 100K+ ticks/second ingestion, multi-timeframe OHLCV construction, and Lorentz transforms on financial time series.",True,False,False,False,Mattbusel/fin-stream
finalytics,Rust,Rust,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-05-01,69,https://github.com/Nnamdi-sys/finalytics,A rust library for financial data analysis.,True,False,False,False,Nnamdi-sys/finalytics
Factor Weave,Python,"Python,TypeScript,R",Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-06-05,0,https://factorweave.com/,"Factor scores, similarity search, and leak-free + survivor-free forward-return labels across equities, ETFs, indices, FX, crypto, and futures; REST + MCP, Python/TypeScript/R SDKs, free tier. [GitHub](https://github.com/Blazing-Customs/factorweave-tools)",True,False,False,False,Blazing-Customs/factorweave-tools
pmxt,Python,"Python,JavaScript",Prediction Markets,Prediction Markets,prediction-markets,2026-06-29,1933,https://github.com/pmxt-dev/pmxt,"The CCXT for prediction markets. A unified API for trading on Polymarket, Kalshi, and more.",True,False,False,False,pmxt-dev/pmxt
pmxt,Python,"Python,JavaScript",Prediction Markets,Prediction Markets,prediction-markets,2026-06-29,1934,https://github.com/pmxt-dev/pmxt,"The CCXT for prediction markets. A unified API for trading on Polymarket, Kalshi, and more.",True,False,False,False,pmxt-dev/pmxt
polymarket-whales,Python,Python,Prediction Markets,Prediction Markets,prediction-markets,2026-03-20,55,https://github.com/al1enjesus/polymarket-whales,Real-time whale trade tracker for Polymarket — terminal alerts + Telegram notifications when large orders hit the book.,True,False,False,False,al1enjesus/polymarket-whales
Polymarket Scanner API,Python,Python,Prediction Markets,Prediction Markets,prediction-markets,2026-03-14,3,https://github.com/vesper-astrena/polymarket-scanner-api,"Real-time arbitrage detection API for Polymarket prediction markets, scanning 12,000+ markets for mispricings.",True,False,False,False,vesper-astrena/polymarket-scanner-api
SimpleFunctions,JavaScript,JavaScript,Prediction Markets,Prediction Markets,prediction-markets,2026-06-16,10,https://github.com/spfunctions/simplefunctions-cli,"Prediction market intelligence CLI for Kalshi and Polymarket. Causal thesis models, edge detection, 24/7 orderbook monitoring, what-if scenarios, and trade execution. MCP server for AI agent integration.",True,False,False,False,spfunctions/simplefunctions-cli
pmxt,Python,"Python,JavaScript",Prediction Markets,Prediction Markets,prediction-markets,2026-06-29,1933,https://github.com/pmxt-dev/pmxt,"The CCXT for prediction markets. A unified API for trading on Polymarket, Kalshi, and more.",True,False,False,False,pmxt-dev/pmxt
pmxt,Python,"Python,JavaScript",Prediction Markets,Prediction Markets,prediction-markets,2026-06-29,1934,https://github.com/pmxt-dev/pmxt,"The CCXT for prediction markets. A unified API for trading on Polymarket, Kalshi, and more.",True,False,False,False,pmxt-dev/pmxt
PolyMind,Python,Python,Prediction Markets,Prediction Markets,prediction-markets,2026-06-18,0,https://polyminds.netlify.app/,"Real-time Polymarket trading alerts with multi-AI analysis (Groq, Claude, Gemini). Track whale bets, volume spikes, coordinated wallets, and 12 signal types. Free tier available. [GitHub](https://github.com/samirasadov28-code/PolyMind)",True,False,False,False,samirasadov28-code/PolyMind
prediction-market-maker,Python,Python,Prediction Markets,Prediction Markets,prediction-markets,2026-04-10,18,https://github.com/octavi42/prediction-market-maker,"Open-source market-making strategy that placed #2 in Paradigm's prediction market challenge, with full strategy evolution and analysis.",True,False,False,False,octavi42/prediction-market-maker
Oracle3,Python,Python,Prediction Markets,Prediction Markets,prediction-markets,2026-05-07,258,https://github.com/YichengYang-Ethan/oracle3,"Autonomous trading agent for Kalshi, Polymarket, and Solana — Wang Transform pricing (calibrated on 291k resolved contracts) drives eight constraint-based arbitrage strategies and Kelly-sized model trades.",True,False,False,False,YichengYang-Ethan/oracle3
@@ -491,7 +491,7 @@ Quantitative-Notebooks,,,"Reproducing Works, Training & Books","Reproducing Work
QuantEcon,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,,0,https://quantecon.org/,"Lecture series on economics, finance, econometrics and data science; QuantEcon.py, QuantEcon.jl, notebooks.",False,False,False,False,
FinanceHub,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2021-05-25,798,https://github.com/Finance-Hub/FinanceHub,Resources for Quantitative Finance.,True,False,False,False,Finance-Hub/FinanceHub
Python_Option_Pricing,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2025-05-13,850,https://github.com/dedwards25/Python_Option_Pricing,"An library to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian, Spread Options.",True,False,False,False,dedwards25/Python_Option_Pricing
python-training,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2023-11-27,13612,https://github.com/jpmorganchase/python-training,J.P. Morgan's Python training for business analysts and traders.,True,False,False,False,jpmorganchase/python-training
python-training,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2023-11-27,13614,https://github.com/jpmorganchase/python-training,J.P. Morgan's Python training for business analysts and traders.,True,False,False,False,jpmorganchase/python-training
Stock_Analysis_For_Quant,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2025-05-04,2034,https://github.com/LastAncientOne/Stock_Analysis_For_Quant,"Different Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau.",True,False,False,False,LastAncientOne/Stock_Analysis_For_Quant
algorithmic-trading-with-python,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2021-06-01,3405,https://github.com/chrisconlan/algorithmic-trading-with-python,Source code for Algorithmic Trading with Python (2020) by Chris Conlan.,True,False,False,False,chrisconlan/algorithmic-trading-with-python
MEDIUM_NoteBook,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2024-09-22,2139,https://github.com/cerlymarco/MEDIUM_NoteBook,Repository containing notebooks of [cerlymarco](https://github.com/cerlymarco)'s posts on Medium.,True,False,False,False,cerlymarco/MEDIUM_NoteBook
@@ -526,7 +526,7 @@ QuantFinanceTraining,,,"Reproducing Works, Training & Books","Reproducing Works,
Statistical-Learning-based-Portfolio-Optimization,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,error,0,https://github.com/YannickKae/Statistical-Learning-based-Portfolio-Optimization,"This R Shiny App utilizes the Hierarchical Equal Risk Contribution (HERC) approach, a modern portfolio optimization method developed by Raffinot (2018).",True,False,False,False,YannickKae/Statistical-Learning-based-Portfolio-Optimization
book_irds3,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2022-10-29,123,https://github.com/attack68/book_irds3,Code repository for Pricing and Trading Interest Rate Derivatives.,True,False,False,False,attack68/book_irds3
Autoencoder-Asset-Pricing-Models,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2025-08-17,149,https://github.com/RichardS0268/Autoencoder-Asset-Pricing-Models,"Reimplementation of Autoencoder Asset Pricing Models ([GKX, 2019](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3335536)).",True,False,False,False,RichardS0268/Autoencoder-Asset-Pricing-Models
Finance,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2025-05-12,3997,https://github.com/shashankvemuri/Finance,"150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data.",True,False,False,False,shashankvemuri/Finance
Finance,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2025-05-12,3998,https://github.com/shashankvemuri/Finance,"150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data.",True,False,False,False,shashankvemuri/Finance
101_formulaic_alphas,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2022-07-11,49,https://github.com/ram-ki/101_formulaic_alphas,Implementation of [101 formulaic alphas](https://arxiv.org/ftp/arxiv/papers/1601/1601.00991.pdf) using qstrader.,True,False,False,False,ram-ki/101_formulaic_alphas
Tidy Finance,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,,0,https://www.tidy-finance.org/,"An opinionated approach to empirical research in financial economics - a fully transparent, open-source code base in multiple programming languages (Python and R) to enable the reproducible implementation of financial research projects for students and practitioners.",False,False,False,False,
RoughVolatilityWorkshop,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2025-09-06,71,https://github.com/jgatheral/RoughVolatilityWorkshop,2024 QuantMind's Rough Volatility Workshop lectures.,True,False,False,False,jgatheral/RoughVolatilityWorkshop
1 project language languages category section section_slug last_commit stars url description github cran pypi commercial repo
2 numpy Python Python Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-06-29 2026-06-30 32400 32403 https://www.numpy.org NumPy is the fundamental package for scientific computing with Python. [GitHub](https://github.com/numpy/numpy) True False False False numpy/numpy
3 scipy Python Python Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-06-29 14787 14789 https://www.scipy.org SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering. [GitHub](https://github.com/scipy/scipy) True False False False scipy/scipy
4 pandas Python Python Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-06-29 2026-06-30 49219 49221 https://pandas.pydata.org pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. [GitHub](https://github.com/pandas-dev/pandas) True False False False pandas-dev/pandas
5 polars Python Python Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-06-29 38890 https://docs.pola.rs/ Polars is a blazingly fast DataFrame library for manipulating structured data. [GitHub](https://github.com/pola-rs/polars) True False False False pola-rs/polars
6 quantdsl Python Python Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2017-10-26 381 https://github.com/johnbywater/quantdsl Domain specific language for quantitative analytics in finance and trading. True False False False johnbywater/quantdsl
7 statistics Python Python Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 0 https://docs.python.org/3/library/statistics.html Builtin Python library for all basic statistical calculations. False False False False
8 sympy Python Python Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-06-29 14730 14731 https://www.sympy.org/ SymPy is a Python library for symbolic mathematics. [GitHub](https://github.com/sympy/sympy) True False False False sympy/sympy
9 pymc3 Python Python Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-06-23 9655 https://docs.pymc.io/ Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano. [GitHub](https://github.com/pymc-devs/pymc) True False False False pymc-devs/pymc
10 modelx Python Python Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-05-31 131 https://docs.modelx.io/ Python reimagination of spreadsheets as formula-centric objects that are interoperable with pandas. [GitHub](https://github.com/fumitoh/modelx) True False False False fumitoh/modelx
11 ArcticDB Python Python Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-06-26 2418 2419 https://github.com/man-group/ArcticDB High performance datastore for time series and tick data. True False False False man-group/ArcticDB
12 CRNG Python Python Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-04-12 6 https://github.com/brotto/crng Contingency Random Number Generator that produces random numbers with real financial market statistical signatures (fat tails, volatility clustering, kurtosis). Matches 86% of real market metrics vs 14% for NumPy. True False False False brotto/crng
13 xts R R Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-02-27 223 https://github.com/joshuaulrich/xts eXtensible Time Series: Provide for uniform handling of R's different time-based data classes by extending zoo, maximizing native format information preservation and allowing for user level customization and extension, while simplifying cross-class interoperability. True False False False joshuaulrich/xts
14 data.table R R Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-06-29 3895 https://github.com/Rdatatable/data.table Extension of data.frame: Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns and a fast file reader (fread). Offers a natural and flexible syntax, for faster development. True False False False Rdatatable/data.table
34 tia Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2017-06-05 428 https://github.com/bpsmith/tia Toolkit for integration and analysis. True False False False bpsmith/tia
35 pysabr Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2022-04-21 614 https://github.com/ynouri/pysabr SABR model Python implementation. True False False False ynouri/pysabr
36 FinancePy Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2026-06-16 3028 https://github.com/domokane/FinancePy A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives. True False False False domokane/FinancePy
37 gs-quant Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2026-06-25 11008 11009 https://github.com/goldmansachs/gs-quant Python toolkit for quantitative finance. True False False False goldmansachs/gs-quant
38 willowtree Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2018-07-14 370 https://github.com/federicomariamassari/willowtree Robust and flexible Python implementation of the willow tree lattice for derivatives pricing. True False False False federicomariamassari/willowtree
39 financial-engineering Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2017-11-20 531 https://github.com/federicomariamassari/financial-engineering Applications of Monte Carlo methods to financial engineering projects, in Python. True False False False federicomariamassari/financial-engineering
40 optlib Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2022-11-18 1606 https://github.com/dbrojas/optlib A library for financial options pricing written in Python. True False False False dbrojas/optlib
41 tf-quant-finance Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2026-02-12 5415 5416 https://github.com/google/tf-quant-finance High-performance TensorFlow library for quantitative finance. True False False False google/tf-quant-finance
42 Q-Fin Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2023-04-07 633 https://github.com/RomanMichaelPaolucci/Q-Fin A Python library for mathematical finance. True False False False RomanMichaelPaolucci/Q-Fin
43 Quantsbin Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2021-05-23 641 https://github.com/quantsbin/Quantsbin Tools for pricing and plotting of vanilla option prices, greeks and various other analysis around them. True False False False quantsbin/Quantsbin
44 finoptions Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2024-02-01 297 https://github.com/bbcho/finoptions-dev Complete python implementation of R package fOptions with partial implementation of fExoticOptions for pricing various options. True False False False bbcho/finoptions-dev
53 quantra Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2026-06-27 27 https://github.com/joseprupi/quantraserver High-performance pricing engine built on QuantLib. It exposes QuantLib's functionality through gRPC and REST APIs, enabling distributed computations with FlatBuffers serialization. True False False False joseprupi/quantraserver
54 optionlab Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2026-05-31 531 https://github.com/rgaveiga/optionlab A Python library for evaluating option trading strategies. True False False False rgaveiga/optionlab
55 flashalpha Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2026-06-17 3 https://github.com/FlashAlpha-lab/flashalpha-python Python client for the FlashAlpha options analytics API. True False False False FlashAlpha-lab/flashalpha-python
56 QuantOracle Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2026-06-26 2026-06-29 6 https://github.com/QuantOracledev/quantoracle Free quant finance API with 63 deterministic endpoints + 15 free interactive calculators at [quantoracle.dev](https://quantoracle.dev). Options pricing with full Greeks, Monte Carlo, Kelly, VaR, Sharpe, CAGR, crypto liquidation, impermanent loss, plus live crypto volatility/funding data and 24/7 position monitoring with webhook alerts. 1,000 free calls/day, no API key. True False False False QuantOracledev/quantoracle
57 RQuantLib R R Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2026-06-09 132 https://github.com/eddelbuettel/rquantlib RQuantLib connects GNU R with QuantLib. True False False False eddelbuettel/rquantlib
58 quantmod R R Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2026-06-28 901 https://cran.r-project.org/web/packages/quantmod/index.html Quantitative Financial Modelling Framework. [GitHub](https://github.com/joshuaulrich/quantmod) True True False False joshuaulrich/quantmod
59 Rmetrics R R Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 0 https://www.rmetrics.org The premier open source software solution for teaching and training quantitative finance. False False False False
119 IndicatorTS JavaScript JavaScript Technical Indicators Technical Indicators technical-indicators 2026-04-20 454 https://github.com/cinar/indicatorts Indicator is a TypeScript module providing various stock technical analysis indicators, strategies, and a backtest framework for trading. True False False False cinar/indicatorts
120 chart-patterns JavaScript JavaScript Technical Indicators Technical Indicators technical-indicators error 0 https://github.com/focus1691/chart-patterns Technical analysis library for Market Profile, Volume Profile, Stacked Imbalances and High Volume Node indicators. True False False False focus1691/chart-patterns
121 orderflow JavaScript JavaScript Technical Indicators Technical Indicators technical-indicators 2025-03-31 74 https://github.com/focus1691/orderflow Orderflow trade aggregator for building Footprint Candles from exchange websocket data. True False False False focus1691/orderflow
122 IndicatorGo Golang Golang Technical Indicators Technical Indicators technical-indicators 2026-06-07 1191 1194 https://github.com/cinar/indicator IndicatorGo is a Golang module providing various stock technical analysis indicators, strategies, and a backtest framework for trading. True False False False cinar/indicator
123 TradeAggregation Rust Rust Technical Indicators Technical Indicators technical-indicators 2026-02-05 116 https://github.com/MathisWellmann/trade_aggregation-rs Aggregate trades into user-defined candles using information driven rules. True False False False MathisWellmann/trade_aggregation-rs
124 SlidingFeatures Rust Rust Technical Indicators Technical Indicators technical-indicators 2026-06-29 76 https://github.com/MathisWellmann/sliding_features-rs Chainable tree-like sliding windows for signal processing and technical analysis. True False False False MathisWellmann/sliding_features-rs
125 fin-primitives Rust Rust Technical Indicators Technical Indicators technical-indicators 2026-03-23 12 https://github.com/Mattbusel/fin-primitives Financial market primitives in Rust: Price/Quantity/Symbol newtypes, BTreeMap order book, OHLCV aggregation, SMA/EMA/RSI indicators, position ledger with PnL, and composable risk monitor. True False False False Mattbusel/fin-primitives
126 Wickra Rust Rust,Python,JavaScript,C++,C#,Golang,Java,R Technical Indicators Technical Indicators technical-indicators 2026-06-28 2026-06-29 20 https://github.com/wickra-lib/wickra Streaming-first technical-analysis library with a Rust core: 514 indicators updating in O(1) per tick, with bit-exact batch-vs-streaming results. True False False False wickra-lib/wickra
127 AlgoVault TypeScript TypeScript Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-29 2 https://github.com/AlgoVaultLabs/crypto-quant-signal-mcp MCP server returning composite crypto trade verdicts (direction, confidence, regime) across 5 perpetual-futures venues, with cross-venue funding-rate arbitrage and an on-chain Merkle-verified track record. Free tier. True False False False AlgoVaultLabs/crypto-quant-signal-mcp
128 capitalcom-cli Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-16 1 https://github.com/SimonTarara62/capitalcom-cli Unofficial CLI and async SDK for the Capital.com broker API: market data, guarded order execution, and real-time streaming. True False False False SimonTarara62/capitalcom-cli
129 income-desk Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-29 11 https://github.com/nitinblue/income-desk Systematic options trading intelligence for small accounts with desk-based portfolio management, pre-trade validation, and multi-broker consolidation. True False False False nitinblue/income-desk
131 AI Quant Agents Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-03-24 12 https://github.com/demandai/ai-quant-agents Multi-agent LLM trading analysis where 12 AI agents (analysts, debaters, risk manager) debate stock picks in real-time, supporting US equities and China A-shares. True False False False demandai/ai-quant-agents
132 TradeSight Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-23 92 https://github.com/rmbell09-lang/tradesight Self-hosted AI trading platform with strategy evolution, technical analysis, backtesting, and paper trading via Alpaca. True False False False rmbell09-lang/tradesight
133 Orallexa Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-29 51 https://github.com/alex-jb/orallexa-ai-trading-agent AI trading operating system with 9 ML models (RF, XGBoost, EMAformer, MOIRAI-2, Chronos-2, DDPM, PPO RL, GNN, LR) ranked by Sharpe ratio, Claude AI synthesis with dual-tier routing (~$0.003/analysis), real-time Next.js dashboard, Alpaca paper trading, and 277 automated tests. True False False False alex-jb/orallexa-ai-trading-agent
134 Vibe-Trading Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-29 15009 15112 https://github.com/HKUDS/Vibe-Trading Natural-language multi-agent finance research agent with 29 swarm presets, 70 skills, and 28 auto-discovered tools; 7 backtest engines covering A-shares/US/Crypto/Futures/Forex/Options plus a cross-market CompositeEngine with shared capital pool; 5-source auto-fallback data layer (tushare/okx/yfinance/akshare/ccxt); 17-tool MCP server; includes trade-journal behavioral diagnostics for 同花顺/东财/富途 exports. True False False False HKUDS/Vibe-Trading
135 DeepAlpha Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-12 29 https://deepalphabot.com AI crypto trading bot for Bybit with 70.9% walk-forward validated accuracy on out-of-sample data, LightGBM + XGBoost ensemble with 72 ML features. [GitHub](https://github.com/stefanoviana/deepalpha) True False False False stefanoviana/deepalpha
136 the0 Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-24 265 https://github.com/alexanderwanyoike/the0 Self-hosted execution engine for algorithmic trading bots. Write strategies in Python, TypeScript, Rust, C++, C#, Scala, or Haskell and deploy with one command. Each bot runs in an isolated container with scheduled or streaming execution. True False False False alexanderwanyoike/the0
137 Investing algorithm framework Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-24 1289 https://github.com/coding-kitties/investing-algorithm-framework Framework for developing, backtesting, and deploying automated trading algorithms. True False False False coding-kitties/investing-algorithm-framework
144 quantitative Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2019-03-03 67 https://github.com/jeffrey-liang/quantitative Quantitative finance, and backtesting library. True False False False jeffrey-liang/quantitative
145 analyzer Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2015-12-22 216 https://github.com/llazzaro/analyzer Python framework for real-time financial and backtesting trading strategies. True False False False llazzaro/analyzer
146 bt Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-22 2899 https://github.com/pmorissette/bt Flexible Backtesting for Python. True False False False pmorissette/bt
147 backtrader Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2023-04-19 22192 22194 https://github.com/backtrader/backtrader Python Backtesting library for trading strategies. True False False False backtrader/backtrader
148 pythalesians Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2016-09-23 63 https://github.com/thalesians/pythalesians Python library to backtest trading strategies, plot charts, seamlessly download market data, analyze market patterns etc. True False False False thalesians/pythalesians
149 pybacktest Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2019-09-09 821 https://github.com/ematvey/pybacktest Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier. True False False False ematvey/pybacktest
150 pyalgotrade Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2023-03-05 4662 https://github.com/gbeced/pyalgotrade Python Algorithmic Trading Library. True False False False gbeced/pyalgotrade
151 basana Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-15 847 848 https://github.com/gbeced/basana A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies. True False False False gbeced/basana
152 algobroker Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2016-03-31 96 https://github.com/joequant/algobroker This is an execution engine for algo trading. True False False False joequant/algobroker
153 finmarketpy Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-16 3785 https://github.com/cuemacro/finmarketpy Python library for backtesting trading strategies and analyzing financial markets. True False False False cuemacro/finmarketpy
154 binary-martingale Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2017-10-16 48 https://github.com/metaperl/binary-martingale Computer program to automatically trade binary options martingale style. True False False False metaperl/binary-martingale
161 pyqstrat Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2023-11-05 372 https://github.com/abbass2/pyqstrat A fast, extensible, transparent python library for backtesting quantitative strategies. True False False False abbass2/pyqstrat
162 NowTrade Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2017-02-07 102 https://github.com/edouardpoitras/NowTrade Python library for backtesting technical/mechanical strategies in the stock and currency markets. True False False False edouardpoitras/NowTrade
163 pinkfish Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-29 300 https://github.com/fja05680/pinkfish A backtester and spreadsheet library for security analysis. True False False False fja05680/pinkfish
164 PRISM-INSIGHT Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-29 658 659 https://github.com/dragon1086/prism-insight AI-powered stock analysis system with 13 specialized agents, automated trading via KIS API, supporting Korean & US markets. True False False False dragon1086/prism-insight
165 FinClaw Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-18 21 https://github.com/NeuZhou/finclaw AI-powered financial intelligence engine with 8 master strategies across US, CN, and HK markets. Multi-agent architecture with +29.1% annual alpha. 227 tests. True False False False NeuZhou/finclaw
166 aat Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-22 823 https://github.com/timkpaine/aat Async Algorithmic Trading Engine. True False False False timkpaine/aat
167 Backtesting.py Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 0 https://kernc.github.io/backtesting.py/ Backtest trading strategies in Python. False False False False
170 jquantstats Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-28 41 https://github.com/Jebel-Quant/jquantstats Modern variation of quantstats, with additional features and performance improvements. True False False False Jebel-Quant/jquantstats
171 qtpylib Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2021-03-24 2269 https://github.com/ranaroussi/qtpylib QTPyLib, Pythonic Algorithmic Trading <http://qtpylib.io>. True False False False ranaroussi/qtpylib
172 Quantdom Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2019-03-12 770 https://github.com/constverum/Quantdom Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:.] True False False False constverum/Quantdom
173 freqtrade Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-29 51941 51943 https://github.com/freqtrade/freqtrade Free, open source crypto trading bot. True False False False freqtrade/freqtrade
174 algorithmic-trading-with-python Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2021-06-01 3405 https://github.com/chrisconlan/algorithmic-trading-with-python Free `pandas` and `scikit-learn` resources for trading simulation, backtesting, and machine learning on financial data. True False False False chrisconlan/algorithmic-trading-with-python
175 Qlib Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-22 45392 45396 https://github.com/microsoft/qlib An AI-oriented Quantitative Investment Platform by Microsoft. Full ML pipeline of data processing, model training, back-testing; and covers the entire chain of quantitative investment: alpha seeking, risk modeling, portfolio optimization, and order execution. True False False False microsoft/qlib
176 machine-learning-for-trading Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-29 19423 19429 https://github.com/stefan-jansen/machine-learning-for-trading Code and resources for Machine Learning for Algorithmic Trading. True False False False stefan-jansen/machine-learning-for-trading
177 AlphaPy Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2025-08-24 1734 https://github.com/ScottfreeLLC/AlphaPy Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost. True False False False ScottfreeLLC/AlphaPy
178 jesse Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-29 8122 8121 https://github.com/jesse-ai/jesse An advanced crypto trading bot written in Python. True False False False jesse-ai/jesse
179 rqalpha Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-24 6526 https://github.com/ricequant/rqalpha A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities. True False False False ricequant/rqalpha
180 FinRL-Library Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-05 15552 15554 https://github.com/AI4Finance-LLC/FinRL-Library A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. True False False False AI4Finance-LLC/FinRL-Library
181 aurumq-rl Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-07 18 https://github.com/yupoet/aurumq-rl Reinforcement learning stock-selection framework for the China A-share market with multi-source factor input (alpha101 + main-force flow + hot-money seats + northbound + institutional + fundamentals), board-aware price limits, and ONNX CPU inference. True False False False yupoet/aurumq-rl
182 bulbea Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2017-03-19 2303 https://github.com/achillesrasquinha/bulbea Deep Learning based Python Library for Stock Market Prediction and Modelling. True False False False achillesrasquinha/bulbea
183 ib_nope Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2021-04-22 33 https://github.com/ajhpark/ib_nope Automated trading system for NOPE strategy over IBKR TWS. True False False False ajhpark/ib_nope
184 OctoBot Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-16 6172 6173 https://github.com/Drakkar-Software/OctoBot Open source cryptocurrency trading bot for high frequency, arbitrage, TA and social trading with an advanced web interface. True False False False Drakkar-Software/OctoBot
185 OpenFinClaw Python Python,Rust Trading & Backtesting Trading & Backtesting trading-backtesting error 0 https://github.com/cryptoSUN2049/openFinclaw AI-native hedge fund platform: natural language strategy generation, Rust backtesting engine, multi-market execution, and self-evolving strategy pipeline with community leaderboard. True False False False cryptoSUN2049/openFinclaw
186 Stock-Prediction-Models Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2021-01-05 9408 https://github.com/huseinzol05/Stock-Prediction-Models Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations. True False False False huseinzol05/Stock-Prediction-Models
187 AutoTrader Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2025-05-04 1270 https://github.com/kieran-mackle/AutoTrader A Python-based development platform for automated trading systems - from backtesting to optimization to livetrading. True False False False kieran-mackle/AutoTrader
188 fast-trade Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-21 568 https://github.com/jrmeier/fast-trade A library built with backtest portability and performance in mind for backtest trading strategies. True False False False jrmeier/fast-trade
189 qf-lib Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-29 947 https://github.com/quarkfin/qf-lib QF-Lib is a Python library that provides high quality tools for quantitative finance. True False False False quarkfin/qf-lib
190 tda-api Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2024-06-16 1318 https://github.com/alexgolec/tda-api Gather data and trade equities, options, and ETFs via TDAmeritrade. True False False False alexgolec/tda-api
191 vectorbt Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-29 8085 8086 https://github.com/polakowo/vectorbt Find your trading edge, using a powerful toolkit for backtesting, algorithmic trading, and research. True False False False polakowo/vectorbt
192 Lean Python Python,C# Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-29 20255 20256 https://github.com/QuantConnect/Lean Lean Algorithmic Trading Engine by QuantConnect (Python, C#). True False False False QuantConnect/Lean
193 pysystemtrade Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-08 3367 3368 https://github.com/robcarver17/pysystemtrade pysystemtrade is the open source version of Robert Carver's backtesting and trading engine that implements systems according to the framework outlined in his book "Systematic Trading", which is further developed on his [blog](https://qoppac.blogspot.com/). True False False False robcarver17/pysystemtrade
194 pytrendseries Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-30 166 https://github.com/rafa-rod/pytrendseries Detect trend in time series, drawdown, drawdown within a constant look-back window , maximum drawdown, time underwater. True False False False rafa-rod/pytrendseries
195 PyLOB Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2023-01-01 201 https://github.com/DrAshBooth/PyLOB Fully functioning fast Limit Order Book written in Python. True False False False DrAshBooth/PyLOB
196 PyBroker Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-11 3439 https://github.com/edtechre/pybroker Algorithmic Trading with Machine Learning. True False False False edtechre/pybroker
197 OctoBot Script Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-03-30 43 https://github.com/Drakkar-Software/OctoBot-Script A quant framework to create cryptocurrencies strategies - from backtesting to optimization to livetrading. True False False False Drakkar-Software/OctoBot-Script
198 hftbacktest Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2025-12-23 4234 https://github.com/nkaz001/hftbacktest A high-frequency trading and market-making backtesting tool accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books. True False False False nkaz001/hftbacktest
199 flashalpha-fill-simulator Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-16 2 https://github.com/FlashAlpha-lab/flashalpha-fill-simulator Realistic limit-order fill simulator for options credit/debit spreads with post-and-wait limits, stale-quote guards, deterministic same-bar tiebreaks, and a patient-then-cross exit; engine-agnostic and zero runtime dependencies. True False False False FlashAlpha-lab/flashalpha-fill-simulator
200 vnpy Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-17 42395 42412 https://github.com/vnpy/vnpy VeighNa is a Python-based open source quantitative trading system development framework. True False False False vnpy/vnpy
201 Intelligent Trading Bot Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-01 1740 https://github.com/asavinov/intelligent-trading-bot Automatically generating signals and trading based on machine learning and feature engineering. True False False False asavinov/intelligent-trading-bot
202 fastquant Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2023-09-15 1751 https://github.com/enzoampil/fastquant fastquant allows you to easily backtest investment strategies with as few as 3 lines of python code. True False False False enzoampil/fastquant
203 nautilus_trader Python Python,Rust Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-29 24309 24317 https://github.com/nautechsystems/nautilus_trader A high-performance algorithmic trading platform and event-driven backtester. True False False False nautechsystems/nautilus_trader
204 YABTE Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2024-05-11 6 https://github.com/bsdz/yabte Yet Another (Python) BackTesting Engine. True False False False bsdz/yabte
205 Trading Strategy Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-29 229 https://github.com/tradingstrategy-ai/getting-started TradingStrategy.ai is a market data, backtesting, live trading and investor management framework for decentralised finance. True False False False tradingstrategy-ai/getting-started
206 Hikyuu Python Python,C++ Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-29 3296 https://github.com/fasiondog/hikyuu A base on Python/C++ open source high-performance quant framework for faster analysis and backtesting, contains the complete trading system components for reuse and combination. True False False False fasiondog/hikyuu
219 QuantTools R R Trading & Backtesting Trading & Backtesting trading-backtesting 0 https://quanttools.bitbucket.io/_site/index.html Enhanced Quantitative Trading Modelling. False False False False
220 blotter R R Trading & Backtesting Trading & Backtesting trading-backtesting 2024-12-13 117 https://github.com/braverock/blotter Transaction infrastructure for defining instruments, transactions, portfolios and accounts for trading systems and simulation. Provides portfolio support for multi-asset class and multi-currency portfolios. Actively maintained and developed. True False False False braverock/blotter
221 quantstrat R R Trading & Backtesting Trading & Backtesting trading-backtesting 2023-09-14 305 https://github.com/braverock/quantstrat Transaction-oriented infrastructure for constructing trading systems and simulation. Provides support for multi-asset class and multi-currency portfolios for backtesting and other financial research. True False False False braverock/quantstrat
222 QUANTAXIS Matlab Matlab Trading & Backtesting Trading & Backtesting trading-backtesting 2026-02-28 10797 10798 https://github.com/yutiansut/quantaxis Integrated Quantitative Toolbox with Matlab. True False False False yutiansut/quantaxis
223 PROJ_Option_Pricing_Matlab Matlab Matlab Trading & Backtesting Trading & Backtesting trading-backtesting 2024-11-19 208 https://github.com/jkirkby3/PROJ_Option_Pricing_Matlab Quant Option Pricing - Exotic/Vanilla: Barrier, Asian, European, American, Parisian, Lookback, Cliquet, Variance Swap, Swing, Forward Starting, Step, Fader. True False False False jkirkby3/PROJ_Option_Pricing_Matlab
224 Fastback.jl Julia Julia Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-05 20 https://github.com/rbeeli/Fastback.jl Blazing fast Julia backtester. True False False False rbeeli/Fastback.jl
225 Lucky.jl Julia Julia Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-25 28 https://github.com/oliviermilla/Lucky.jl Modular, asynchronous trading engine in pure Julia. True False False False oliviermilla/Lucky.jl
226 Strategems.jl Julia Julia Trading & Backtesting Trading & Backtesting trading-backtesting 2021-04-06 167 https://github.com/dysonance/Strategems.jl Quantitative systematic trading strategy development and backtesting. True False False False dysonance/Strategems.jl
227 ccxt JavaScript JavaScript,Python,PHP Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-29 43126 43127 https://github.com/ccxt/ccxt A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges. True False False False ccxt/ccxt
228 binance-fix-connector-python Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-26 0 https://github.com/AlexanderMerkel/binance-fix-connector-python Async Python connector for Binance Spot FIX sessions with Order Entry, Market Data, and Drop Copy support. True False False False AlexanderMerkel/binance-fix-connector-python
229 Jiji Ruby Ruby Trading & Backtesting Trading & Backtesting trading-backtesting 2019-01-22 250 https://github.com/unageanu/jiji2 Open Source Forex algorithmic trading framework using OANDA REST API. True False False False unageanu/jiji2
230 Tai Elixir/Erlang Elixir/Erlang Trading & Backtesting Trading & Backtesting trading-backtesting 2024-12-06 499 https://github.com/fremantle-capital/tai Open Source composable, real time, market data and trade execution toolkit. True False False False fremantle-capital/tai
236 OrderMatchingEngine CPP CPP Trading & Backtesting Trading & Backtesting trading-backtesting 2026-01-11 149 https://github.com/PIYUSH-KUMAR1809/order-matching-engine A production-grade, lock-free, high-frequency trading matching engine achieving 150M+ orders/sec. True False False False PIYUSH-KUMAR1809/order-matching-engine
237 PandoraTrader CPP CPP Trading & Backtesting Trading & Backtesting trading-backtesting 2025-07-29 1422 https://github.com/pegasusTrader/PandoraTrader A C++ CTP trading framework, with very clear logic. True False False False pegasusTrader/PandoraTrader
238 NexusFix CPP CPP Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-20 58 https://github.com/SilverstreamsAI/NexusFix C++23 FIX protocol engine with zero-copy parsing and SIMD acceleration, 3x faster than QuickFIX. True False False False SilverstreamsAI/NexusFix
239 QuantConnect CSharp CSharp Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-29 20255 20256 https://github.com/QuantConnect/Lean Lean Engine is an open-source fully managed C# algorithmic trading engine built for desktop and cloud usage. True False False False QuantConnect/Lean
240 StockSharp CSharp CSharp Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-22 10216 10218 https://github.com/StockSharp/StockSharp Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options). True False False False StockSharp/StockSharp
241 TDAmeritrade.DotNetCore CSharp CSharp Trading & Backtesting Trading & Backtesting trading-backtesting 2023-03-10 56 https://github.com/NVentimiglia/TDAmeritrade.DotNetCore Free, open-source .NET Client for the TD Ameritrade Trading Platform. Helps developers integrate TD Ameritrade API into custom trading solutions. True False False False NVentimiglia/TDAmeritrade.DotNetCore
242 Barter Rust Rust Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-09 2183 https://github.com/barter-rs/barter-rs Open-source Rust framework for building event-driven live-trading & backtesting systems. True False False False barter-rs/barter-rs
243 LFEST Rust Rust Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-07 81 https://github.com/MathisWellmann/lfest-rs Simulated perpetual futures exchange to trade your strategy against. True False False False MathisWellmann/lfest-rs
282 OnlinePortfolioAnalytics.jl Julia Julia Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-04-13 14 https://github.com/femtotrader/OnlinePortfolioAnalytics.jl A Julia quantitative portfolio analytics (risk / performance) via online algorithms. True False False False femtotrader/OnlinePortfolioAnalytics.jl
283 RiskPerf.jl Julia Julia Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-04-12 15 https://github.com/rbeeli/RiskPerf.jl Quantitative risk and performance analysis package for financial time series powered by the Julia language. True False False False rbeeli/RiskPerf.jl
284 portfolio-allocation JavaScript JavaScript Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2022-08-11 187 https://github.com/lequant40/portfolio_allocation_js PortfolioAllocation is a JavaScript library designed to help constructing financial portfolios made of several assets: bonds, commodities, cryptocurrencies, currencies, exchange traded funds (ETFs), mutual funds, stocks... True False False False lequant40/portfolio_allocation_js
285 Ghostfolio JavaScript JavaScript Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-06-29 8870 8872 https://github.com/ghostfolio/ghostfolio Wealth management software to keep track of financial assets like stocks, ETFs or cryptocurrencies and make solid, data-driven investment decisions. True False False False ghostfolio/ghostfolio
286 rebalance JavaScript JavaScript Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-03-01 2 https://github.com/cjroth/rebalance Interactive portfolio rebalancing tool that imports brokerage CSV data, sets target allocations, and generates trade instructions. True False False False cjroth/rebalance
287 Alpha Skills Python Python Factor Analysis Factor Analysis factor-analysis 2026-04-14 55 https://github.com/VernonOY/alpha-skills AI skills for quantitative factor research: discover, evaluate, mine, backtest, and monitor factors through any AI coding assistant. Supports A-share, HK, and US markets. True False False False VernonOY/alpha-skills
288 alphalens Python Python Factor Analysis Factor Analysis factor-analysis 2020-04-27 4350 https://github.com/quantopian/alphalens Performance analysis of predictive alpha factors. True False False False quantopian/alphalens
298 CoWorker Fin-Agent Python Python Sentiment Analysis & Alternative Data Sentiment Analysis & Alternative Data sentiment-analysis-alternative-data 2026-04-04 18 https://github.com/ZiwayZhao/agent-coworker LLM-powered A-share stock analysis via P2P agent collaboration. Technical analysis (MA60, volume-price patterns, golden eye), deep research reports using proprietary methodology, and market state summaries. Analysis logic stays private via Skill-as-API protocol. True False False False ZiwayZhao/agent-coworker
299 StockKit TypeScript TypeScript Sentiment Analysis & Alternative Data Sentiment Analysis & Alternative Data sentiment-analysis-alternative-data 2026-05-07 1 https://stockkit.net/ Free AI-powered stock research reports for US, China & HK using Claude Opus and multi-model AI with 20+ technical indicators. [GitHub](https://github.com/kentmswood-ui/stockkit) True False False False kentmswood-ui/stockkit
300 ARCH Python Python Time Series Analysis Time Series Analysis time-series-analysis 2026-06-22 1534 https://github.com/bashtage/arch ARCH models in Python. True False False False bashtage/arch
301 statsmodels Python Python Time Series Analysis Time Series Analysis time-series-analysis 2026-06-27 11485 11488 http://statsmodels.sourceforge.net Python module that allows users to explore data, estimate statistical models, and perform statistical tests. [GitHub](https://github.com/statsmodels/statsmodels) True False False False statsmodels/statsmodels
302 dynts Python Python Time Series Analysis Time Series Analysis time-series-analysis 2016-11-02 87 https://github.com/quantmind/dynts Python package for timeseries analysis and manipulation. True False False False quantmind/dynts
303 PyFlux Python Python Time Series Analysis Time Series Analysis time-series-analysis 2018-12-16 2138 https://github.com/RJT1990/pyflux Python library for timeseries modelling and inference (frequentist and Bayesian) on models. True False False False RJT1990/pyflux
304 tsfresh Python Python Time Series Analysis Time Series Analysis time-series-analysis 2026-06-08 9257 9258 https://github.com/blue-yonder/tsfresh Automatic extraction of relevant features from time series. True False False False blue-yonder/tsfresh
305 Facebook Prophet Python Python Time Series Analysis Time Series Analysis time-series-analysis 2026-02-02 20265 20266 https://github.com/facebook/prophet Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. True False False False facebook/prophet
306 tsmoothie Python Python Time Series Analysis Time Series Analysis time-series-analysis 2023-11-23 771 https://github.com/cerlymarco/tsmoothie A python library for time-series smoothing and outlier detection in a vectorized way. True False False False cerlymarco/tsmoothie
307 pmdarima Python Python Time Series Analysis Time Series Analysis time-series-analysis 2025-11-17 1725 https://github.com/alkaline-ml/pmdarima A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function. True False False False alkaline-ml/pmdarima
308 gluon-ts Python Python Time Series Analysis Time Series Analysis time-series-analysis 2026-06-16 5206 5208 https://github.com/awslabs/gluon-ts vProbabilistic time series modeling in Python. True False False False awslabs/gluon-ts
309 OmniOracle Python Python Time Series Analysis Time Series Analysis time-series-analysis 2026-03-23 6 https://github.com/cesabici-bit/omni-oracle Automatic discovery of non-trivial statistical relationships across 500+ time series from FRED, World Bank, EIA, and NOAA using mutual information screening, lagged MI directional testing, and FDR correction. True False False False cesabici-bit/omni-oracle
310 functime Python Python Time Series Analysis Time Series Analysis time-series-analysis 2026-05-03 1180 https://github.com/functime-org/functime Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data. True False False False functime-org/functime
311 wasserstein-btc Python Python Time Series Analysis Time Series Analysis time-series-analysis 2026-05-24 1 https://github.com/AccursedGalaxy/wasserstein-btc Distributional forecasting of crypto log-returns by tangent-space geodesic extrapolation on the 2-Wasserstein manifold (quantile-function coordinates). Walk-forward CRPS evaluation over 6.75 years across 4 assets × 3 horizons; benchmarked against classical baselines (Static / RW-Drift / HS-Bootstrap / GARCH-N / GARCH-t / GJR-GARCH-t) and a named-econometric panel (HAR-RV, CAViaR-SAV, Markov-switching Normal, FIGARCH, AR(1) Stochastic Volatility, bivariate VAR+GARCH). [Live dashboard](https://accursedgalaxy.github.io/wasserstein-btc/). True False False False AccursedGalaxy/wasserstein-btc
323 TimeSeries.jl Julia Julia Time Series Analysis Time Series Analysis time-series-analysis 2026-03-30 368 https://github.com/JuliaStats/TimeSeries.jl Time series toolkit for Julia. True False False False JuliaStats/TimeSeries.jl
324 TimeFrames.jl Julia Julia Time Series Analysis Time Series Analysis time-series-analysis 2026-03-09 4 https://github.com/femtotrader/TimeFrames.jl A Julia library that defines TimeFrame (essentially for resampling TimeSeries). True False False False femtotrader/TimeFrames.jl
325 BTC Orderbook Microstructure Research Jupyter Notebook Jupyter Notebook Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-21 5 https://github.com/whoareunot/btc-orderbook-research statistical analysis of Binance BTC/USDT orderbook: OBI, CVD, spread. True False False False whoareunot/btc-orderbook-research
326 OpenBB Terminal Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-06-25 69845 69846 https://github.com/OpenBB-finance/OpenBBTerminal Terminal for investment research for everyone. True False False False OpenBB-finance/OpenBBTerminal
327 Fincept Terminal Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-06-24 27656 27663 https://github.com/Fincept-Corporation/FinceptTerminal Advance Data Based A.I Terminal for all Types of Financial Asset Research. True False False False Fincept-Corporation/FinceptTerminal
328 yfinance Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-06-28 24450 24452 https://github.com/ranaroussi/yfinance Yahoo! Finance market data downloader (+faster Pandas Datareader). True False False False ranaroussi/yfinance
329 coinpaprika-api-python-client Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-06-02 18 https://github.com/coinpaprika/coinpaprika-api-python-client Free crypto market data API client. 12,000+ coins, 350+ exchanges, tickers, OHLCV, historical prices. No API key for free tier. True False False False coinpaprika/coinpaprika-api-python-client
330 defeatbeta-api Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-06-10 679 680 https://github.com/defeat-beta/defeatbeta-api An open-source alternative to Yahoo Finance's market data APIs with higher reliability. True False False False defeat-beta/defeatbeta-api
331 financekit-mcp Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-17 5 https://github.com/vdalhambra/financekit-mcp MCP server (Model Context Protocol) exposing 17 tools for AI agents to perform quantitative analysis: real-time stock quotes, full technical analysis (RSI, MACD, Bollinger, ADX, Stochastic, ATR, OBV + pattern detection with structured verdicts), crypto prices via CoinGecko, risk metrics (VaR, Sharpe, Sortino, Beta, Max Drawdown), correlation matrix, options chains, earnings calendar, sector rotation, and portfolio analysis. Works with Claude Desktop, Cursor, Windsurf. No API keys for core tools. FastMCP 3.2. True False False False vdalhambra/financekit-mcp
332 dexpaprika-sdk-python Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-06-02 9 https://github.com/coinpaprika/dexpaprika-sdk-python Free DEX data API client. 34 blockchains, 30M+ pools, 27M+ tokens, real-time SSE streaming, OHLCV. No API key needed. True False False False coinpaprika/dexpaprika-sdk-python
333 pricehub Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-06-17 39 https://github.com/eslazarev/pricehub Unified package for collecting OHLC prices from Binance, Bybit, Coinbase, OKX, Kraken, KuCoin, and Bitget (spot & futures) into a DataFrame, with flexible timestamp inputs and a wide range of intervals. True False False False eslazarev/pricehub
334 Helium MCP Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-06-16 9 https://heliumtrades.com/mcp-page/ Live stock/ETF/crypto data with AI-generated bull/bear cases and price forecasts, proprietary ML options pricing with probability ITM and fair value, and news bias scoring across 5,000+ sources. Available as MCP server or API. Free tier: 50 queries, no signup. [GitHub](https://github.com/connerlambden/helium-mcp) True False False False connerlambden/helium-mcp
335 findatapy Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-11 2064 2063 https://github.com/cuemacro/findatapy Python library to download market data via Bloomberg, Quandl, Yahoo etc. True False False False cuemacro/findatapy
336 googlefinance Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2018-09-23 827 https://github.com/hongtaocai/googlefinance Python module to get real-time stock data from Google Finance API. True False False False hongtaocai/googlefinance
337 Horus Flow Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-05-16 1 https://github.com/horustechltd/horus-flow-mcp Sub-second L2 orderflow intelligence MCP server for institutional-grade market microstructure analysis. True False False False horustechltd/horus-flow-mcp
338 yahoo-finance Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2021-12-15 1440 https://github.com/lukaszbanasiak/yahoo-finance Python module to get stock data from Yahoo! Finance. True False False False lukaszbanasiak/yahoo-finance
364 tushare Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2024-08-27 0 https://pypi.org/project/tushare/ A utility for crawling historical and Real-time Quotes data of China stocks. (Last updated: 2024-08-27). False False True False
365 edinetdb Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 0 https://edinetdb.com/ Free API and MCP server for Japanese company financials. Normalizes EDINET XBRL across JP-GAAP, IFRS, and US-GAAP for 3,800+ listed companies with 90 metrics, screening, and securities report text. False False False False
366 edinet-mcp Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-22 12 https://github.com/ajtgjmdjp/edinet-mcp Parse Japanese XBRL financial statements from EDINET with 161 normalized labels, 26 financial metrics, and multi-company screening. True False False False ajtgjmdjp/edinet-mcp
367 estat-mcp Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-05 5 6 https://github.com/ajtgjmdjp/estat-mcp Access Japanese government statistics (e-Stat) covering population, GDP, CPI, labor, and trade data with MCP integration and Polars export. True False False False ajtgjmdjp/estat-mcp
368 tdnet-disclosure-mcp Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-03-02 3 https://github.com/ajtgjmdjp/tdnet-disclosure-mcp Access Japanese timely disclosures (TDNet) via MCP. Retrieve earnings, dividends, forecasts, buybacks, and other filings for 4,000+ listed companies. No API key required. True False False False ajtgjmdjp/tdnet-disclosure-mcp
369 bigtech-ai-stakes Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-05-09 2 https://github.com/YichengYang-Ethan/bigtech-ai-stakes Open dataset of U.S. public-company equity stakes in Anthropic and OpenAI from primary 10-K / 10-Q / 8-K filings, court records, and press releases. Each row tagged with a confidence flag (V verified, P probable, S speculative). True False False False YichengYang-Ethan/bigtech-ai-stakes
370 cn_stock_src Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2016-02-29 34 https://github.com/jealous/cn_stock_src Utility for retrieving basic China stock data from different sources. True False False False jealous/cn_stock_src
379 pyEX Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2024-02-05 409 https://github.com/timkpaine/pyEX Python interface to IEX with emphasis on pandas, support for streaming data, premium data, points data (economic, rates, commodities), and technical indicators. True False False False timkpaine/pyEX
380 alpaca-trade-api Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2024-01-12 1878 https://github.com/alpacahq/alpaca-trade-api-python Python interface for retrieving real-time and historical prices from Alpaca API as well as trade execution. True False False False alpacahq/alpaca-trade-api-python
381 metatrader5 Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-04 0 https://pypi.org/project/MetaTrader5/ API Connector to MetaTrader 5 Terminal. (Last updated: 2026-02-20). False False True False
382 akshare Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-05-27 20834 20835 https://github.com/jindaxiang/akshare AkShare is an elegant and simple financial data interface library for Python, built for human beings! <https://akshare.readthedocs.io>. True False False False jindaxiang/akshare
383 yahooquery Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2025-05-15 913 https://github.com/dpguthrie/yahooquery Python interface for retrieving data through unofficial Yahoo Finance API. True False False False dpguthrie/yahooquery
384 investpy Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2022-10-02 1839 https://github.com/alvarobartt/investpy Financial Data Extraction from Investing.com with Python! <https://investpy.readthedocs.io/>. True False False False alvarobartt/investpy
385 yliveticker Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-03-28 170 https://github.com/yahoofinancelive/yliveticker Live stream of market data from Yahoo Finance websocket. True False False False yahoofinancelive/yliveticker
386 bbgbridge Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2020-01-07 2 https://github.com/ran404/bbgbridge Easy to use Bloomberg Desktop API wrapper for Python. True False False False ran404/bbgbridge
387 polygon.io Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-05-26 1472 https://github.com/polygon-io/client-python A python library for Polygon.io financial data APIs. True False False False polygon-io/client-python
388 SiftingIO Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-06-27 0 https://github.com/SiftingIO/sdk-python A python library for Sifting.io financial market data APIs & Websocket. True False False False SiftingIO/sdk-python
389 alpha_vantage Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-06-25 4846 4847 https://github.com/RomelTorres/alpha_vantage A python wrapper for Alpha Vantage API for financial data. True False False False RomelTorres/alpha_vantage
390 oilpriceapi Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-06-22 0 https://github.com/OilpriceAPI/python-sdk Python SDK for real-time oil and commodity prices (WTI, Brent, Urals, natural gas, coal) with OpenBB integration. True False False False OilpriceAPI/python-sdk
391 FinanceDataReader Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-05-13 1505 https://github.com/FinanceData/FinanceDataReader Open Source Financial data reader for U.S, Korean, Japanese, Chinese, Vietnamese Stocks. True False False False FinanceData/FinanceDataReader
392 pystlouisfed Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2024-01-09 21 https://github.com/TomasKoutek/pystlouisfed Python client for Federal Reserve Bank of St. Louis API - FRED, ALFRED, GeoFRED and FRASER. True False False False TomasKoutek/pystlouisfed
434 fin-stream Rust Rust Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-03-23 9 https://github.com/Mattbusel/fin-stream Real-time market data streaming in Rust: lock-free SPSC ring buffer, 100K+ ticks/second ingestion, multi-timeframe OHLCV construction, and Lorentz transforms on financial time series. True False False False Mattbusel/fin-stream
435 finalytics Rust Rust Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-05-01 69 https://github.com/Nnamdi-sys/finalytics A rust library for financial data analysis. True False False False Nnamdi-sys/finalytics
436 Factor Weave Python Python,TypeScript,R Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-06-05 0 https://factorweave.com/ Factor scores, similarity search, and leak-free + survivor-free forward-return labels across equities, ETFs, indices, FX, crypto, and futures; REST + MCP, Python/TypeScript/R SDKs, free tier. [GitHub](https://github.com/Blazing-Customs/factorweave-tools) True False False False Blazing-Customs/factorweave-tools
437 pmxt Python Python,JavaScript Prediction Markets Prediction Markets prediction-markets 2026-06-29 1933 1934 https://github.com/pmxt-dev/pmxt The CCXT for prediction markets. A unified API for trading on Polymarket, Kalshi, and more. True False False False pmxt-dev/pmxt
438 polymarket-whales Python Python Prediction Markets Prediction Markets prediction-markets 2026-03-20 55 https://github.com/al1enjesus/polymarket-whales Real-time whale trade tracker for Polymarket — terminal alerts + Telegram notifications when large orders hit the book. True False False False al1enjesus/polymarket-whales
439 Polymarket Scanner API Python Python Prediction Markets Prediction Markets prediction-markets 2026-03-14 3 https://github.com/vesper-astrena/polymarket-scanner-api Real-time arbitrage detection API for Polymarket prediction markets, scanning 12,000+ markets for mispricings. True False False False vesper-astrena/polymarket-scanner-api
440 SimpleFunctions JavaScript JavaScript Prediction Markets Prediction Markets prediction-markets 2026-06-16 10 https://github.com/spfunctions/simplefunctions-cli Prediction market intelligence CLI for Kalshi and Polymarket. Causal thesis models, edge detection, 24/7 orderbook monitoring, what-if scenarios, and trade execution. MCP server for AI agent integration. True False False False spfunctions/simplefunctions-cli
441 pmxt Python Python,JavaScript Prediction Markets Prediction Markets prediction-markets 2026-06-29 1933 1934 https://github.com/pmxt-dev/pmxt The CCXT for prediction markets. A unified API for trading on Polymarket, Kalshi, and more. True False False False pmxt-dev/pmxt
442 PolyMind Python Python Prediction Markets Prediction Markets prediction-markets 2026-06-18 0 https://polyminds.netlify.app/ Real-time Polymarket trading alerts with multi-AI analysis (Groq, Claude, Gemini). Track whale bets, volume spikes, coordinated wallets, and 12 signal types. Free tier available. [GitHub](https://github.com/samirasadov28-code/PolyMind) True False False False samirasadov28-code/PolyMind
443 prediction-market-maker Python Python Prediction Markets Prediction Markets prediction-markets 2026-04-10 18 https://github.com/octavi42/prediction-market-maker Open-source market-making strategy that placed #2 in Paradigm's prediction market challenge, with full strategy evolution and analysis. True False False False octavi42/prediction-market-maker
444 Oracle3 Python Python Prediction Markets Prediction Markets prediction-markets 2026-05-07 258 https://github.com/YichengYang-Ethan/oracle3 Autonomous trading agent for Kalshi, Polymarket, and Solana — Wang Transform pricing (calibrated on 291k resolved contracts) drives eight constraint-based arbitrage strategies and Kelly-sized model trades. True False False False YichengYang-Ethan/oracle3
491 QuantEcon Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 0 https://quantecon.org/ Lecture series on economics, finance, econometrics and data science; QuantEcon.py, QuantEcon.jl, notebooks. False False False False
492 FinanceHub Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2021-05-25 798 https://github.com/Finance-Hub/FinanceHub Resources for Quantitative Finance. True False False False Finance-Hub/FinanceHub
493 Python_Option_Pricing Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2025-05-13 850 https://github.com/dedwards25/Python_Option_Pricing An library to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian, Spread Options. True False False False dedwards25/Python_Option_Pricing
494 python-training Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2023-11-27 13612 13614 https://github.com/jpmorganchase/python-training J.P. Morgan's Python training for business analysts and traders. True False False False jpmorganchase/python-training
495 Stock_Analysis_For_Quant Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2025-05-04 2034 https://github.com/LastAncientOne/Stock_Analysis_For_Quant Different Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau. True False False False LastAncientOne/Stock_Analysis_For_Quant
496 algorithmic-trading-with-python Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2021-06-01 3405 https://github.com/chrisconlan/algorithmic-trading-with-python Source code for Algorithmic Trading with Python (2020) by Chris Conlan. True False False False chrisconlan/algorithmic-trading-with-python
497 MEDIUM_NoteBook Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2024-09-22 2139 https://github.com/cerlymarco/MEDIUM_NoteBook Repository containing notebooks of [cerlymarco](https://github.com/cerlymarco)'s posts on Medium. True False False False cerlymarco/MEDIUM_NoteBook
526 Statistical-Learning-based-Portfolio-Optimization Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books error 0 https://github.com/YannickKae/Statistical-Learning-based-Portfolio-Optimization This R Shiny App utilizes the Hierarchical Equal Risk Contribution (HERC) approach, a modern portfolio optimization method developed by Raffinot (2018). True False False False YannickKae/Statistical-Learning-based-Portfolio-Optimization
527 book_irds3 Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2022-10-29 123 https://github.com/attack68/book_irds3 Code repository for Pricing and Trading Interest Rate Derivatives. True False False False attack68/book_irds3
528 Autoencoder-Asset-Pricing-Models Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2025-08-17 149 https://github.com/RichardS0268/Autoencoder-Asset-Pricing-Models Reimplementation of Autoencoder Asset Pricing Models ([GKX, 2019](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3335536)). True False False False RichardS0268/Autoencoder-Asset-Pricing-Models
529 Finance Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2025-05-12 3997 3998 https://github.com/shashankvemuri/Finance 150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data. True False False False shashankvemuri/Finance
530 101_formulaic_alphas Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2022-07-11 49 https://github.com/ram-ki/101_formulaic_alphas Implementation of [101 formulaic alphas](https://arxiv.org/ftp/arxiv/papers/1601/1601.00991.pdf) using qstrader. True False False False ram-ki/101_formulaic_alphas
531 Tidy Finance Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 0 https://www.tidy-finance.org/ An opinionated approach to empirical research in financial economics - a fully transparent, open-source code base in multiple programming languages (Python and R) to enable the reproducible implementation of financial research projects for students and practitioners. False False False False
532 RoughVolatilityWorkshop Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2025-09-06 71 https://github.com/jgatheral/RoughVolatilityWorkshop 2024 QuantMind's Rough Volatility Workshop lectures. True False False False jgatheral/RoughVolatilityWorkshop