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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="32114">
<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="32113">
<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="32,114 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> 32.1k</span></td>
<td class="col-stars"><span class="stars" title="32,113 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> 32.1k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-30">2026-05-30</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -116,13 +116,13 @@
</div>
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</tr>
<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="14724">
<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="14723">
<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="14,724 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="14,723 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: 2026-05-30">2026-05-30</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -149,7 +149,7 @@
<span class="mobile-category">Numerical Libraries &amp; Data Structures</span>
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<td class="col-stars"><span class="stars" title="48,877 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> 48.9k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-29">2026-05-29</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-30">2026-05-30</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>
@@ -168,13 +168,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="38624">
<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="38627">
<td class="col-num">4</td>
<td class="col-name">
<a href="https://docs.pola.rs/" target="_blank" rel="noopener">polars</a>
<span class="mobile-category">Numerical Libraries &amp; Data Structures</span>
</td>
<td class="col-stars"><span class="stars" title="38,624 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> 38.6k</span></td>
<td class="col-stars"><span class="stars" title="38,627 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> 38.6k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-29">2026-05-29</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -245,13 +245,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="14656">
<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="14655">
<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="14,656 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> 14.7k</span></td>
<td class="col-stars"><span class="stars" title="14,655 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: 2026-05-30">2026-05-30</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -2707,13 +2707,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Technical Indicators" data-sources="github" data-stars="2254">
<tr class="row" data-languages="Python" data-category="Technical Indicators" data-sources="github" data-stars="2255">
<td class="col-num">102</td>
<td class="col-name">
<a href="https://github.com/peerchemist/finta" target="_blank" rel="noopener">finta</a>
<span class="mobile-category">Technical Indicators</span>
</td>
<td class="col-stars"><span class="stars" title="2,254 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> 2.3k</span></td>
<td class="col-stars"><span class="stars" title="2,255 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> 2.3k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2022-07-24">2022-07-24</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -2766,7 +2766,7 @@
<span class="mobile-category">Technical Indicators</span>
</td>
<td class="col-stars"><span class="stars" title="462 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> 462</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-02-15">2026-02-15</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-30">2026-05-30</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="Technical Indicators">technical-indicators</button>
@@ -2863,13 +2863,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Technical Indicators" data-sources="github" data-stars="5092">
<tr class="row" data-languages="Python" data-category="Technical Indicators" data-sources="github" data-stars="5093">
<td class="col-num">108</td>
<td class="col-name">
<a href="https://github.com/bukosabino/ta" target="_blank" rel="noopener">ta</a>
<span class="mobile-category">Technical Indicators</span>
</td>
<td class="col-stars"><span class="stars" title="5,092 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> 5.1k</span></td>
<td class="col-stars"><span class="stars" title="5,093 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> 5.1k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-03-18">2026-03-18</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -3409,13 +3409,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="9042">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="9050">
<td class="col-num">129</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="9,042 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> 9k</span></td>
<td class="col-stars"><span class="stars" title="9,050 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> 9.1k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-30">2026-05-30</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -3435,13 +3435,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="21">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="22">
<td class="col-num">130</td>
<td class="col-name">
<a href="https://deepalphabot.com" target="_blank" rel="noopener">DeepAlpha</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="21 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> 21</span></td>
<td class="col-stars"><span class="stars" title="22 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</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-12">2026-05-12</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -3617,13 +3617,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="1782">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="1783">
<td class="col-num">137</td>
<td class="col-name">
<a href="https://github.com/stefan-jansen/zipline-reloaded" target="_blank" rel="noopener">zipline-reloaded</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="1,782 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> 1.8k</span></td>
<td class="col-stars"><span class="stars" title="1,783 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> 1.8k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2025-11-13">2025-11-13</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -3747,13 +3747,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="21757">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="21759">
<td class="col-num">142</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="21,757 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> 21.8k</span></td>
<td class="col-stars"><span class="stars" title="21,759 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> 21.8k</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>
@@ -4344,13 +4344,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="32">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="33">
<td class="col-num">165</td>
<td class="col-name">
<a href="https://github.com/Jebel-Quant/jquantstats" target="_blank" rel="noopener">jquantstats</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="32 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</span></td>
<td class="col-stars"><span class="stars" title="33 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> 33</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-29">2026-05-29</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4422,13 +4422,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="50929">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="50936">
<td class="col-num">168</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="50,929 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> 50.9k</span></td>
<td class="col-stars"><span class="stars" title="50,936 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> 50.9k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-30">2026-05-30</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4474,13 +4474,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="43744">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="43749">
<td class="col-num">170</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="43,744 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> 43.7k</span></td>
<td class="col-stars"><span class="stars" title="43,749 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> 43.7k</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>
@@ -4500,13 +4500,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="17430">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="17446">
<td class="col-num">171</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="17,430 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> 17.4k</span></td>
<td class="col-stars"><span class="stars" title="17,446 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> 17.4k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2023-03-05">2023-03-05</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4552,13 +4552,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="7960">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="7961">
<td class="col-num">173</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="7,960 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> 8k</span></td>
<td class="col-stars"><span class="stars" title="7,961 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> 8k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-30">2026-05-30</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4604,13 +4604,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="15280">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="15282">
<td class="col-num">175</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="15,280 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> 15.3k</span></td>
<td class="col-stars"><span class="stars" title="15,282 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> 15.3k</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>
@@ -4787,13 +4787,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="1261">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="1262">
<td class="col-num">182</td>
<td class="col-name">
<a href="https://github.com/kieran-mackle/AutoTrader" target="_blank" rel="noopener">AutoTrader</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="1,261 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> 1.3k</span></td>
<td class="col-stars"><span class="stars" title="1,262 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> 1.3k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2025-05-04">2025-05-04</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4891,13 +4891,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="7723">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="7724">
<td class="col-num">186</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="7,723 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> 7.7k</span></td>
<td class="col-stars"><span class="stars" title="7,724 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> 7.7k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-04-23">2026-04-23</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4917,13 +4917,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python C#" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="19507">
<tr class="row" data-languages="Python C#" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="19520">
<td class="col-num">187</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="19,507 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> 19.5k</span></td>
<td class="col-stars"><span class="stars" title="19,520 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> 19.5k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-29">2026-05-29</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5074,13 +5074,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="4125">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="4127">
<td class="col-num">193</td>
<td class="col-name">
<a href="https://github.com/nkaz001/hftbacktest" target="_blank" rel="noopener">hftbacktest</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="4,125 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> 4.1k</span></td>
<td class="col-stars"><span class="stars" title="4,127 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> 4.1k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2025-12-23">2025-12-23</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5126,13 +5126,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="41143">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="41144">
<td class="col-num">195</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="41,143 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> 41.1k</span></td>
<td class="col-stars"><span class="stars" title="41,144 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> 41.1k</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>
@@ -5152,13 +5152,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="1702">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="1703">
<td class="col-num">196</td>
<td class="col-name">
<a href="https://github.com/asavinov/intelligent-trading-bot" target="_blank" rel="noopener">Intelligent Trading Bot</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="1,702 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> 1.7k</span></td>
<td class="col-stars"><span class="stars" title="1,703 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> 1.7k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-18">2026-05-18</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5204,14 +5204,14 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python Rust" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="23164">
<tr class="row" data-languages="Python Rust" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="23170">
<td class="col-num">198</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="23,164 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> 23.2k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-30">2026-05-30</span></td>
<td class="col-stars"><span class="stars" title="23,170 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> 23.2k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-31">2026-05-31</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-lang" data-filter-type="language" data-filter-value="Rust">rust</button>
@@ -5830,13 +5830,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="JavaScript Python PHP" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="42715">
<tr class="row" data-languages="JavaScript Python PHP" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="42719">
<td class="col-num">222</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="42,715 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> 42.7k</span></td>
<td class="col-stars"><span class="stars" title="42,719 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> 42.7k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-30">2026-05-30</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="JavaScript">javascript</button>
@@ -6171,13 +6171,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="19507">
<tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="19520">
<td class="col-num">235</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="19,507 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> 19.5k</span></td>
<td class="col-stars"><span class="stars" title="19,520 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> 19.5k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-29">2026-05-29</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="CSharp">csharp</button>
@@ -6197,13 +6197,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="10022">
<tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="10023">
<td class="col-num">236</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="10,022 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> 10k</span></td>
<td class="col-stars"><span class="stars" title="10,023 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> 10k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-19">2026-05-19</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="CSharp">csharp</button>
@@ -7370,13 +7370,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="JavaScript" data-category="Portfolio Optimization &amp; Risk Analysis" data-sources="github" data-stars="8540">
<tr class="row" data-languages="JavaScript" data-category="Portfolio Optimization &amp; Risk Analysis" data-sources="github" data-stars="8541">
<td class="col-num">281</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="8,540 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> 8.5k</span></td>
<td class="col-stars"><span class="stars" title="8,541 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> 8.5k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-30">2026-05-30</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="JavaScript">javascript</button>
@@ -8435,13 +8435,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="68275">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="68279">
<td class="col-num">322</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="68,275 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> 68.3k</span></td>
<td class="col-stars"><span class="stars" title="68,279 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> 68.3k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-29">2026-05-29</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -8461,13 +8461,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="24656">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="24694">
<td class="col-num">323</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="24,656 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> 24.7k</span></td>
<td class="col-stars"><span class="stars" title="24,694 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> 24.7k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-30">2026-05-30</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -8929,13 +8929,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="524">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="525">
<td class="col-num">341</td>
<td class="col-name">
<a href="https://github.com/jugaad-py/jugaad-data" target="_blank" rel="noopener">jugaad-data</a>
<span class="mobile-category">Market Data &amp; Data Sources</span>
</td>
<td class="col-stars"><span class="stars" title="524 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> 524</span></td>
<td class="col-stars"><span class="stars" title="525 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> 525</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-03-16">2026-03-16</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -9891,13 +9891,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="19868">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="19872">
<td class="col-num">378</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="19,868 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> 19.9k</span></td>
<td class="col-stars"><span class="stars" title="19,872 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> 19.9k</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>
@@ -9943,13 +9943,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="1828">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="1829">
<td class="col-num">380</td>
<td class="col-name">
<a href="https://github.com/alvarobartt/investpy" target="_blank" rel="noopener">investpy</a>
<span class="mobile-category">Market Data &amp; Data Sources</span>
</td>
<td class="col-stars"><span class="stars" title="1,828 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> 1.8k</span></td>
<td class="col-stars"><span class="stars" title="1,829 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> 1.8k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2022-10-02">2022-10-02</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -10539,13 +10539,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="2242">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="2243">
<td class="col-num">403</td>
<td class="col-name">
<a href="https://github.com/dgunning/edgartools" target="_blank" rel="noopener">edgartools</a>
<span class="mobile-category">Market Data &amp; Data Sources</span>
</td>
<td class="col-stars"><span class="stars" title="2,242 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> 2.2k</span></td>
<td class="col-stars"><span class="stars" title="2,243 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> 2.2k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-29">2026-05-29</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -11214,13 +11214,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python JavaScript" data-category="Prediction Markets" data-sources="github" data-stars="1825">
<tr class="row" data-languages="Python JavaScript" data-category="Prediction Markets" data-sources="github" data-stars="1827">
<td class="col-num">429</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="1,825 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> 1.8k</span></td>
<td class="col-stars"><span class="stars" title="1,827 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> 1.8k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-30">2026-05-30</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -11319,13 +11319,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python JavaScript" data-category="Prediction Markets" data-sources="github" data-stars="1825">
<tr class="row" data-languages="Python JavaScript" data-category="Prediction Markets" data-sources="github" data-stars="1827">
<td class="col-num">433</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="1,825 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> 1.8k</span></td>
<td class="col-stars"><span class="stars" title="1,827 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> 1.8k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-30">2026-05-30</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -11398,13 +11398,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Prediction Markets" data-sources="github" data-stars="242">
<tr class="row" data-languages="Python" data-category="Prediction Markets" data-sources="github" data-stars="244">
<td class="col-num">436</td>
<td class="col-name">
<a href="https://github.com/YichengYang-Ethan/oracle3" target="_blank" rel="noopener">Oracle3</a>
<span class="mobile-category">Prediction Markets</span>
</td>
<td class="col-stars"><span class="stars" title="242 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> 242</span></td>
<td class="col-stars"><span class="stars" title="244 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> 244</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-07">2026-05-07</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -11632,13 +11632,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Visualization" data-sources="github" data-stars="1415">
<tr class="row" data-languages="Python" data-category="Visualization" data-sources="github" data-stars="1416">
<td class="col-num">445</td>
<td class="col-name">
<a href="https://github.com/lit26/finvizfinance" target="_blank" rel="noopener">finvizfinance</a>
<span class="mobile-category">Visualization</span>
</td>
<td class="col-stars"><span class="stars" title="1,415 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> 1.4k</span></td>
<td class="col-stars"><span class="stars" title="1,416 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> 1.4k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-01-03">2026-01-03</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -11795,7 +11795,7 @@
<span class="mobile-category">Excel &amp; Spreadsheet Integration</span>
</td>
<td class="col-stars"><span class="stars" title="29 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> 29</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-30">2026-05-30</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-31">2026-05-31</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="TypeScript">typescript</button>
<button class="tag tag-section" data-filter-type="category" data-filter-value="Excel &amp; Spreadsheet Integration">excel-spreadsheet-integration</button>
@@ -11814,13 +11814,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Excel &amp; Spreadsheet Integration" data-sources="github" data-stars="3355">
<tr class="row" data-languages="Python" data-category="Excel &amp; Spreadsheet Integration" data-sources="github" data-stars="3356">
<td class="col-num">452</td>
<td class="col-name">
<a href="https://www.xlwings.org/" target="_blank" rel="noopener">xlwings</a>
<span class="mobile-category">Excel &amp; Spreadsheet Integration</span>
</td>
<td class="col-stars"><span class="stars" title="3,355 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="3,356 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: 2026-05-29">2026-05-29</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -12342,13 +12342,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="" data-category="Cross-Language Frameworks" data-sources="github" data-stars="1588">
<tr class="row" data-languages="" data-category="Cross-Language Frameworks" data-sources="github" data-stars="1589">
<td class="col-num">473</td>
<td class="col-name">
<a href="https://ta-lib.org" target="_blank" rel="noopener">TA-Lib</a>
<span class="mobile-category">Cross-Language Frameworks</span>
</td>
<td class="col-stars"><span class="stars" title="1,588 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> 1.6k</span></td>
<td class="col-stars"><span class="stars" title="1,589 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> 1.6k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2025-10-19">2025-10-19</span></td>
<td class="col-tags">
<button class="tag tag-section" data-filter-type="category" data-filter-value="Cross-Language Frameworks">cross-language-frameworks</button>
@@ -12815,13 +12815,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="" data-category="Reproducing Works, Training &amp; Books" data-sources="github" data-stars="637">
<tr class="row" data-languages="" data-category="Reproducing Works, Training &amp; Books" data-sources="github" data-stars="638">
<td class="col-num">492</td>
<td class="col-name">
<a href="https://github.com/emoen/Machine-Learning-for-Asset-Managers" target="_blank" rel="noopener">Machine-Learning-for-Asset-Managers</a>
<span class="mobile-category">Reproducing Works, Training &amp; Books</span>
</td>
<td class="col-stars"><span class="stars" title="637 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> 637</span></td>
<td class="col-stars"><span class="stars" title="638 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> 638</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2025-01-29">2025-01-29</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>
@@ -13290,13 +13290,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="" data-category="Reproducing Works, Training &amp; Books" data-sources="github" data-stars="2590">
<tr class="row" data-languages="" data-category="Reproducing Works, Training &amp; Books" data-sources="github" data-stars="2591">
<td class="col-num">511</td>
<td class="col-name">
<a href="https://github.com/mfrdixon/ML_Finance_Codes" target="_blank" rel="noopener">ML_Finance_Codes</a>
<span class="mobile-category">Reproducing Works, Training &amp; Books</span>
</td>
<td class="col-stars"><span class="stars" title="2,590 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> 2.6k</span></td>
<td class="col-stars"><span class="stars" title="2,591 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> 2.6k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2020-06-13">2020-06-13</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
+44 -44
View File
@@ -1,11 +1,11 @@
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,2026-05-30,32114,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,2026-05-30,14724,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,2026-05-29,48877,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,2026-05-29,38624,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
numpy,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-05-30,32113,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,2026-05-30,14723,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,2026-05-30,48877,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,2026-05-29,38627,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,2026-05-30,14656,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,2026-05-30,14655,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,2026-05-20,9625,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,2026-05-23,129,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,2026-05-29,2370,https://github.com/man-group/ArcticDB,High performance datastore for time series and tick data.,True,False,False,False,man-group/ArcticDB
@@ -100,13 +100,13 @@ QuantMath,Rust,Rust,Financial Instruments & Pricing,Financial Instruments & Pric
RustQuant,Rust,Rust,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2026-01-14,1749,https://github.com/avhz/RustQuant,Quantitative finance library written in Rust.,True,False,False,False,avhz/RustQuant
QoX,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2026-04-22,3,https://github.com/bboutelje/qox-python-samples,Finite difference pricing library written in Rust.,True,False,False,False,bboutelje/qox-python-samples
pandas_talib,Python,Python,Technical Indicators,Technical Indicators,technical-indicators,2018-05-30,780,https://github.com/femtotrader/pandas_talib,A Python Pandas implementation of technical analysis indicators.,True,False,False,False,femtotrader/pandas_talib
finta,Python,Python,Technical Indicators,Technical Indicators,technical-indicators,2022-07-24,2254,https://github.com/peerchemist/finta,Common financial technical analysis indicators implemented in Pandas.,True,False,False,False,peerchemist/finta
finta,Python,Python,Technical Indicators,Technical Indicators,technical-indicators,2022-07-24,2255,https://github.com/peerchemist/finta,Common financial technical analysis indicators implemented in Pandas.,True,False,False,False,peerchemist/finta
Tulipy,Python,Python,Technical Indicators,Technical Indicators,technical-indicators,2019-04-11,92,https://github.com/cirla/tulipy,Financial Technical Analysis Indicator Library (Python bindings for [tulipindicators](https://github.com/TulipCharts/tulipindicators)).,True,False,False,False,cirla/tulipy
lppls,Python,Python,Technical Indicators,Technical Indicators,technical-indicators,2026-02-15,462,https://github.com/Boulder-Investment-Technologies/lppls,A Python module for fitting the [Log-Periodic Power Law Singularity (LPPLS)](https://en.wikipedia.org/wiki/Didier_Sornette#The_JLS_and_LPPLS_models) model.,True,False,False,False,Boulder-Investment-Technologies/lppls
lppls,Python,Python,Technical Indicators,Technical Indicators,technical-indicators,2026-05-30,462,https://github.com/Boulder-Investment-Technologies/lppls,A Python module for fitting the [Log-Periodic Power Law Singularity (LPPLS)](https://en.wikipedia.org/wiki/Didier_Sornette#The_JLS_and_LPPLS_models) model.,True,False,False,False,Boulder-Investment-Technologies/lppls
talipp,Python,Python,Technical Indicators,Technical Indicators,technical-indicators,2025-09-09,528,https://github.com/nardew/talipp,Incremental technical analysis library for Python.,True,False,False,False,nardew/talipp
streaming_indicators,Python,Python,Technical Indicators,Technical Indicators,technical-indicators,2025-04-27,151,https://github.com/mr-easy/streaming_indicators,A python library for computing technical analysis indicators on streaming data.,True,False,False,False,mr-easy/streaming_indicators
TA-Lib,Python,Python,Technical Indicators,Technical Indicators,technical-indicators,2026-03-16,12002,https://github.com/mrjbq7/ta-lib,Python wrapper for TA-Lib (<http://ta-lib.org/>).,True,False,False,False,mrjbq7/ta-lib
ta,Python,Python,Technical Indicators,Technical Indicators,technical-indicators,2026-03-18,5092,https://github.com/bukosabino/ta,Technical Analysis Library using Pandas (Python).,True,False,False,False,bukosabino/ta
ta,Python,Python,Technical Indicators,Technical Indicators,technical-indicators,2026-03-18,5093,https://github.com/bukosabino/ta,Technical Analysis Library using Pandas (Python).,True,False,False,False,bukosabino/ta
bta-lib,Python,Python,Technical Indicators,Technical Indicators,technical-indicators,2020-03-11,498,https://github.com/mementum/bta-lib,Technical Analysis library in pandas for backtesting algotrading and quantitative analysis.,True,False,False,False,mementum/bta-lib
TuneTA,Python,Python,Technical Indicators,Technical Indicators,technical-indicators,2023-10-13,461,https://github.com/jmrichardson/tuneta,TuneTA optimizes technical indicators using a distance correlation measure to a user defined target feature such as next day return.,True,False,False,False,jmrichardson/tuneta
TTR,R,R,Technical Indicators,Technical Indicators,technical-indicators,2026-02-28,342,https://github.com/joshuaulrich/TTR,Technical Trading Rules.,True,False,False,False,joshuaulrich/TTR
@@ -127,20 +127,20 @@ income-desk,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-ba
AI Quant Agents,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-24,9,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,2026-04-20,82,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,2026-05-29,38,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,2026-05-30,9042,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,2026-05-12,21,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
Vibe-Trading,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-30,9050,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,2026-05-12,22,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,2026-05-24,259,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,2026-05-24,1233,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
Lumibot,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-30,1624,https://github.com/Lumiwealth/lumibot,"Algorithmic trading framework where the same code runs for backtesting and live trading across stocks, options, crypto, futures, and forex with multiple brokers including Alpaca, Interactive Brokers, Tradier, and Schwab.",True,False,False,False,Lumiwealth/lumibot
QSTrader,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-06-24,3384,https://github.com/mhallsmoore/qstrader,QSTrader backtesting simulation engine.,True,False,False,False,mhallsmoore/qstrader
Blankly,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-12-30,2437,https://github.com/Blankly-Finance/Blankly,"Fully integrated backtesting, paper trading, and live deployment.",True,False,False,False,Blankly-Finance/Blankly
zipline,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2020-10-14,19830,https://github.com/quantopian/zipline,Pythonic algorithmic trading library.,True,False,False,False,quantopian/zipline
zipline-reloaded,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-11-13,1782,https://github.com/stefan-jansen/zipline-reloaded,"Zipline, a Pythonic Algorithmic Trading Library.",True,False,False,False,stefan-jansen/zipline-reloaded
zipline-reloaded,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-11-13,1783,https://github.com/stefan-jansen/zipline-reloaded,"Zipline, a Pythonic Algorithmic Trading Library.",True,False,False,False,stefan-jansen/zipline-reloaded
QuantSoftware Toolkit,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2016-10-07,479,https://github.com/QuantSoftware/QuantSoftwareToolkit,Python-based open source software framework designed to support portfolio construction and management.,True,False,False,False,QuantSoftware/QuantSoftwareToolkit
quantitative,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2019-03-03,66,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,2015-12-22,215,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,2026-05-05,2878,https://github.com/pmorissette/bt,Flexible Backtesting for Python.,True,False,False,False,pmorissette/bt
backtrader,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-04-19,21757,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,2023-04-19,21759,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,2019-09-09,822,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,2023-03-05,4654,https://github.com/gbeced/pyalgotrade,Python Algorithmic Trading Library.,True,False,False,False,gbeced/pyalgotrade
@@ -163,40 +163,40 @@ aat,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtestin
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,
catalyst,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2021-09-22,2564,https://github.com/enigmampc/catalyst,An Algorithmic Trading Library for Crypto-Assets in Python.,True,False,False,False,enigmampc/catalyst
quantstats,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-01-13,7189,https://github.com/ranaroussi/quantstats,"Portfolio analytics for quants, written in Python.",True,False,False,False,ranaroussi/quantstats
jquantstats,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-29,32,https://github.com/Jebel-Quant/jquantstats,"Modern variation of quantstats, with additional features and performance improvements.",True,False,False,False,Jebel-Quant/jquantstats
jquantstats,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-29,33,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,2021-03-24,2260,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,2019-03-12,766,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,2026-05-30,50929,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,2026-05-30,50936,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,2021-06-01,3399,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,2026-04-22,43744,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,2023-03-05,17430,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,2026-04-22,43749,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,2023-03-05,17446,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,2025-08-24,1728,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,2026-05-30,7960,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,2026-05-30,7961,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,2026-05-20,6431,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,2026-04-05,15280,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,2026-04-05,15282,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,2026-05-18,7,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,2017-03-19,2283,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,2026-05-16,6009,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,2021-01-05,9364,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,2025-05-04,1261,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
AutoTrader,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-05-04,1262,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,2026-05-21,557,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,2026-05-28,936,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,2024-06-16,1316,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,2026-04-23,7723,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,2026-05-29,19507,https://github.com/QuantConnect/Lean,"Lean Algorithmic Trading Engine by QuantConnect (Python, C#).",True,False,False,False,QuantConnect/Lean
vectorbt,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-23,7724,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,2026-05-29,19520,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,2026-05-18,3323,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,2026-05-30,165,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,2026-05-11,3331,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,2026-03-30,41,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,2025-12-23,4125,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
hftbacktest,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-12-23,4127,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,2026-05-06,0,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,2026-05-17,41143,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,2026-05-18,1702,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
vnpy,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-17,41144,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,2026-05-18,1703,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,2023-09-15,1750,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,2026-05-30,23164,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,2026-05-31,23170,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,2026-05-28,223,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,2026-05-30,3190,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
@@ -220,7 +220,7 @@ PROJ_Option_Pricing_Matlab,Matlab,Matlab,Trading & Backtesting,Trading & Backtes
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,2026-05-19,28,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,2026-05-30,42715,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,2026-05-30,42719,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
TradeClaw,JavaScript,JavaScript,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-30,27,https://github.com/naimkatiman/tradeclaw,"Open-source AI trading signal platform with RSI/MACD/EMA confluence scoring, real-time signals for 10+ assets, self-hostable with one Docker command.",True,False,False,False,naimkatiman/tradeclaw
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
@@ -233,8 +233,8 @@ Hikyuu,Python,"Python,C++",Trading & Backtesting,Trading & Backtesting,trading-b
OrderMatchingEngine,CPP,CPP,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-01-11,146,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,2025-07-29,1404,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,2026-04-27,55,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,2026-05-29,19507,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,2026-05-19,10022,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,2026-05-29,19520,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,2026-05-19,10023,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,2026-05-09,2155,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,2026-04-07,80,https://github.com/MathisWellmann/lfest-rs,Simulated perpetual futures exchange to trade your strategy against.,True,False,False,False,MathisWellmann/lfest-rs
@@ -279,7 +279,7 @@ 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,2026-04-13,13,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,2022-08-11,186,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,2026-05-30,8540,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,2026-05-30,8541,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,2026-04-14,46,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,2020-04-27,4290,https://github.com/quantopian/alphalens,Performance analysis of predictive alpha factors.,True,False,False,False,quantopian/alphalens
@@ -320,8 +320,8 @@ 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,2026-03-30,369,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,2026-05-29,68275,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,2026-05-30,24656,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
OpenBB Terminal,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-05-29,68279,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,2026-05-30,24694,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,2026-05-28,23904,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,2026-04-03,18,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,2026-05-29,644,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
@@ -339,7 +339,7 @@ pyhoofinance,Python,Python,Market Data & Data Sources,Market Data & Data Sources
yfinanceapi,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2020-05-26,9,https://github.com/Karthik005/yfinanceapi,Finance API for Python.,True,False,False,False,Karthik005/yfinanceapi
yql-finance,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2015-08-29,16,https://github.com/slawek87/yql-finance,"yql-finance is simple and fast. API returns stock closing prices for current period of time and current stock ticker (i.e. APPL, GOOGL).",True,False,False,False,slawek87/yql-finance
ystockquote,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2017-03-10,537,https://github.com/cgoldberg/ystockquote,Retrieve stock quote data from Yahoo Finance.,True,False,False,False,cgoldberg/ystockquote
jugaad-data,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-03-16,524,https://github.com/jugaad-py/jugaad-data,"Download historical and live stock data from NSE (National Stock Exchange of India), BSE, and RBI.",True,False,False,False,jugaad-py/jugaad-data
jugaad-data,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-03-16,525,https://github.com/jugaad-py/jugaad-data,"Download historical and live stock data from NSE (National Stock Exchange of India), BSE, and RBI.",True,False,False,False,jugaad-py/jugaad-data
nsetools,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2025-03-18,891,https://github.com/vsjha18/nsetools,Python library for extracting real-time data from National Stock Exchange (India).,True,False,False,False,vsjha18/nsetools
bsedata,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,error,0,https://github.com/sdrdis/bsedata,Python library for extracting real-time data from Bombay Stock Exchange (India).,True,False,False,False,sdrdis/bsedata
nse-insights-api,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,error,0,https://github.com/pratik-choudhari/nse-insights,"Unofficial NSE India API for stock quotes, indices, historical data and more.",True,False,False,False,pratik-choudhari/nse-insights
@@ -376,9 +376,9 @@ 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,2024-01-12,1874,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,2026-05-27,19868,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,2026-05-27,19872,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,2025-05-15,910,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,2022-10-02,1828,https://github.com/alvarobartt/investpy,Financial Data Extraction from Investing.com with Python! <https://investpy.readthedocs.io/>.,True,False,False,False,alvarobartt/investpy
investpy,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2022-10-02,1829,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,2026-03-28,168,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,2026-05-26,1448,https://github.com/polygon-io/client-python,A python library for Polygon.io financial data APIs.,True,False,False,False,polygon-io/client-python
@@ -401,7 +401,7 @@ datamule-python,Python,Python,Market Data & Data Sources,Market Data & Data Sour
fsynth,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2025-12-27,7,https://github.com/welcra/fsynth,Python library for high-fidelity unlimited synthetic financial data generation using Heston Stochastic Volatility and Merton Jump Diffusion.,True,False,False,False,welcra/fsynth
fedfred,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,,0,https://nikhilxsunder.github.io/fedfred/,"FRED & GeoFRED Economic data API with preprocessed dataframe output in pandas/geopandas, polars/polars_st, and dask dataframes/geodataframes.",False,False,False,False,
edgar-sec,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,,0,https://nikhilxsunder.github.io/edgar-sec/,EDGAR Financial data API with preprocessed dataclass outputs.,False,False,False,False,
edgartools,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-05-29,2242,https://github.com/dgunning/edgartools,"AI-native SEC EDGAR library with XBRL financials, clean text extraction, 17+ typed forms, and pandas DataFrames.",True,False,False,False,dgunning/edgartools
edgartools,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-05-29,2243,https://github.com/dgunning/edgartools,"AI-native SEC EDGAR library with XBRL financials, clean text extraction, 17+ typed forms, and pandas DataFrames.",True,False,False,False,dgunning/edgartools
FilingFirehose,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-05-10,1,https://filingfirehose.com,"SEC EDGAR JSON API: body-text-classified 8-Ks flagging buried events (7.3% of Item 8.01 filings), Schedule 13D/G with 21+ activist filers auto-tagged, S-3/424B5 ATM offering detection. Also exposed as MCP server, ChatGPT GPT, and GitHub Action. Free public tier covers last 72h. [GitHub](https://github.com/jaablon/filingfirehose-python)",True,False,False,False,jaablon/filingfirehose-python
FXMacroData,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-15,6,https://fxmacrodata.com/,Real-time forex macroeconomic API for all major currency pairs sourced from central bank announcements. [GitHub](https://github.com/fxmacrodata/fxmacrodata),True,False,False,False,fxmacrodata/fxmacrodata
uk-sic-codes,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,error,0,https://github.com/borschai/uk-sic-codes,"UK SIC 2007 industry classification code lookup, search, and validation. 731 codes, 21 sections. [PyPI](https://pypi.org/project/uk-sic-codes/)",True,False,False,False,borschai/uk-sic-codes
@@ -427,14 +427,14 @@ 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,2026-03-23,8,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
Coinugget,Web,Web,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,,0,https://coinugget.com,"Real-time RSI signals, price action & volume spikes dashboard across multiple exchanges. Free, no sign-up required.",False,False,False,False,
pmxt,Python,"Python,JavaScript",Prediction Markets,Prediction Markets,prediction-markets,2026-05-30,1825,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,2026-05-30,1827,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,2026-03-20,51,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,2026-05-06,10,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,2026-05-30,1825,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,2026-05-30,1827,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,2026-05-28,0,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,2026-04-10,14,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,2026-05-07,242,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
Oracle3,Python,Python,Prediction Markets,Prediction Markets,prediction-markets,2026-05-07,244,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
exchange_calendars,Python,Python,Calendars & Market Hours,Calendars & Market Hours,calendars-market-hours,2026-04-26,630,https://github.com/gerrymanoim/exchange_calendars,Stock Exchange Trading Calendars.,True,False,False,False,gerrymanoim/exchange_calendars
bizdays,Python,Python,Calendars & Market Hours,Calendars & Market Hours,calendars-market-hours,2026-03-08,89,https://github.com/wilsonfreitas/python-bizdays,Business days calculations and utilities.,True,False,False,False,wilsonfreitas/python-bizdays
pandas_market_calendars,Python,Python,Calendars & Market Hours,Calendars & Market Hours,calendars-market-hours,2026-05-27,972,https://github.com/rsheftel/pandas_market_calendars,Exchange calendars to use with pandas for trading applications.,True,False,False,False,rsheftel/pandas_market_calendars
@@ -443,14 +443,14 @@ bizdays,R,R,Calendars & Market Hours,Calendars & Market Hours,calendars-market-h
D-Tale,Python,Python,Visualization,Visualization,visualization,2026-05-11,5156,https://github.com/man-group/dtale,Visualizer for pandas dataframes and xarray datasets.,True,False,False,False,man-group/dtale
mplfinance,Python,Python,Visualization,Visualization,visualization,2024-04-02,4368,https://github.com/matplotlib/mplfinance,"matplotlib utilities for the visualization, and visual analysis, of financial data.",True,False,False,False,matplotlib/mplfinance
finplot,Python,Python,Visualization,Visualization,visualization,2026-03-26,1148,https://github.com/highfestiva/finplot,Performant and effortless finance plotting for Python.,True,False,False,False,highfestiva/finplot
finvizfinance,Python,Python,Visualization,Visualization,visualization,2026-01-03,1415,https://github.com/lit26/finvizfinance,Finviz analysis python library.,True,False,False,False,lit26/finvizfinance
finvizfinance,Python,Python,Visualization,Visualization,visualization,2026-01-03,1416,https://github.com/lit26/finvizfinance,Finviz analysis python library.,True,False,False,False,lit26/finvizfinance
market-analy,Python,Python,Visualization,Visualization,visualization,2026-05-29,77,https://github.com/maread99/market_analy,Analysis and interactive charting using [market-prices](https://github.com/maread99/market_prices) and bqplot.,True,False,False,False,maread99/market_analy
QuantInvestStrats,Python,Python,Visualization,Visualization,visualization,2026-05-20,569,https://github.com/ArturSepp/QuantInvestStrats,"Quantitative Investment Strategies (QIS) package implements Python analytics for visualisation of financial data, performance reporting, analysis of quantitative strategies.",True,False,False,False,ArturSepp/QuantInvestStrats
LightweightCharts.jl,Julia,Julia,Visualization,Visualization,visualization,2026-05-05,52,https://github.com/bhftbootcamp/LightweightCharts.jl,Julia wrapper for Lightweight Charts™ by TradingView.,True,False,False,False,bhftbootcamp/LightweightCharts.jl
QUANTAXIS_Webkit,JavaScript,JavaScript,Visualization,Visualization,visualization,2017-07-30,37,https://github.com/yutiansut/QUANTAXIS_Webkit,An awesome visualization center based on quantaxis.,True,False,False,False,yutiansut/QUANTAXIS_Webkit
dxcharts-lite,JavaScript,JavaScript,Visualization,Visualization,visualization,2026-05-25,93,https://github.com/devexperts/dxcharts-lite,Flexible financial charting library based on HTML5 canvas.,True,False,False,False,devexperts/dxcharts-lite
Bilig,TypeScript,TypeScript,Excel & Spreadsheet Integration,Excel & Spreadsheet Integration,excel-spreadsheet-integration,2026-05-30,29,https://github.com/proompteng/bilig,Formula WorkPaper and XLSX recalculation runtime for Node.js services and agent tools.,True,False,False,False,proompteng/bilig
xlwings,Python,Python,Excel & Spreadsheet Integration,Excel & Spreadsheet Integration,excel-spreadsheet-integration,2026-05-29,3355,https://www.xlwings.org/,Make Excel fly with Python. [GitHub](https://github.com/xlwings/xlwings),True,False,False,False,xlwings/xlwings
Bilig,TypeScript,TypeScript,Excel & Spreadsheet Integration,Excel & Spreadsheet Integration,excel-spreadsheet-integration,2026-05-31,29,https://github.com/proompteng/bilig,Formula WorkPaper and XLSX recalculation runtime for Node.js services and agent tools.,True,False,False,False,proompteng/bilig
xlwings,Python,Python,Excel & Spreadsheet Integration,Excel & Spreadsheet Integration,excel-spreadsheet-integration,2026-05-29,3356,https://www.xlwings.org/,Make Excel fly with Python. [GitHub](https://github.com/xlwings/xlwings),True,False,False,False,xlwings/xlwings
openpyxl,Python,Python,Excel & Spreadsheet Integration,Excel & Spreadsheet Integration,excel-spreadsheet-integration,,0,https://openpyxl.readthedocs.io/en/latest/,Read/Write Excel 2007 xlsx/xlsm files.,False,False,False,False,
xlrd,Python,Python,Excel & Spreadsheet Integration,Excel & Spreadsheet Integration,excel-spreadsheet-integration,2025-06-14,2209,https://github.com/python-excel/xlrd,Library for developers to extract data from Microsoft Excel spreadsheet files.,True,False,False,False,python-excel/xlrd
xlsxwriter,Python,Python,Excel & Spreadsheet Integration,Excel & Spreadsheet Integration,excel-spreadsheet-integration,2026-03-22,3947,https://xlsxwriter.readthedocs.io/,Write files in the Excel 2007+ XLSX file format. [GitHub](https://github.com/jmcnamara/XlsxWriter),True,False,False,False,jmcnamara/XlsxWriter
@@ -471,7 +471,7 @@ QLNet,,,Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frame
PyQL,,,Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,2025-08-20,1306,https://github.com/enthought/pyql,Python port.,True,False,False,False,enthought/pyql
QuantLib.jl,,,Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,2020-02-18,144,https://github.com/pazzo83/QuantLib.jl,Julia port.,True,False,False,False,pazzo83/QuantLib.jl
QuantLib-Python Documentation,,,Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,,0,https://quantlib-python-docs.readthedocs.io/,Documentation for the Python bindings for the QuantLib library.,False,False,False,False,
TA-Lib,,,Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,2025-10-19,1588,https://ta-lib.org,perform technical analysis of financial market data. [GitHub](https://github.com/TA-Lib/ta-lib),True,False,False,False,TA-Lib/ta-lib
TA-Lib,,,Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,2025-10-19,1589,https://ta-lib.org,perform technical analysis of financial market data. [GitHub](https://github.com/TA-Lib/ta-lib),True,False,False,False,TA-Lib/ta-lib
RunMat,,,Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,2026-05-22,216,https://github.com/runmat-org/runmat,Rust runtime for MATLAB-syntax array math with automatic CPU/GPU execution and fused kernels for quant simulations.,True,False,False,False,runmat-org/runmat
Special-Relativity-in-Financial-Modeling,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2026-03-23,10,https://github.com/Mattbusel/Special-Relativity-in-Financial-Modeling,"C++20 implementation of special-relativistic geometry applied to OHLCV data: Lorentz factors, spacetime intervals, Christoffel symbols, and geodesic deviation signals from live market data. DOI: 10.5281/zenodo.18639919.",True,False,False,False,Mattbusel/Special-Relativity-in-Financial-Modeling
Auto-Differentiation Website,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,,0,https://auto-differentiation.github.io/,Background and resources on Automatic Differentiation (AD) / Adjoint Algorithmic Differentitation (AAD).,False,False,False,False,
@@ -490,7 +490,7 @@ MEDIUM_NoteBook,,,"Reproducing Works, Training & Books","Reproducing Works, Trai
QuantFinance,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2025-09-02,616,https://github.com/PythonCharmers/QuantFinance,Training materials in quantitative finance.,True,False,False,False,PythonCharmers/QuantFinance
IPythonScripts,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2026-02-28,178,https://github.com/mgroncki/IPythonScripts,"Tutorials about Quantitative Finance in Python and QuantLib: Pricing, xVAs, Hedging, Portfolio Optimisation, Machine Learning and Deep Learning.",True,False,False,False,mgroncki/IPythonScripts
Computational-Finance-Course,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2024-03-01,550,https://github.com/LechGrzelak/Computational-Finance-Course,Materials for the course of Computational Finance.,True,False,False,False,LechGrzelak/Computational-Finance-Course
Machine-Learning-for-Asset-Managers,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2025-01-29,637,https://github.com/emoen/Machine-Learning-for-Asset-Managers,"Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.",True,False,False,False,emoen/Machine-Learning-for-Asset-Managers
Machine-Learning-for-Asset-Managers,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2025-01-29,638,https://github.com/emoen/Machine-Learning-for-Asset-Managers,"Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.",True,False,False,False,emoen/Machine-Learning-for-Asset-Managers
Python-for-Finance-Cookbook,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2026-03-02,791,https://github.com/PacktPublishing/Python-for-Finance-Cookbook,"Python for Finance Cookbook, published by Packt.",True,False,False,False,PacktPublishing/Python-for-Finance-Cookbook
modelos_vol_derivativos,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2023-08-19,59,https://github.com/ysaporito/modelos_vol_derivativos,"""Modelos de Volatilidade para Derivativos"" book's Jupyter notebooks.",True,False,False,False,ysaporito/modelos_vol_derivativos
NMOF,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2025-10-27,38,https://github.com/enricoschumann/NMOF,"Functions, examples and data from the first and the second edition of ""Numerical Methods and Optimization in Finance"" by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658).",True,False,False,False,enricoschumann/NMOF
@@ -509,7 +509,7 @@ Technical Analysis and Feature Engineering,,,"Reproducing Works, Training & Book
Differential Machine Learning and Axes that matter by Brian Huge and Antoine Savine,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2022-10-05,148,https://github.com/differential-machine-learning/notebooks,"Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.",True,False,False,False,differential-machine-learning/notebooks
systematictradingexamples,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2020-07-22,481,https://github.com/robcarver17/systematictradingexamples,Examples of code related to book [Systematic Trading](www.systematictrading.org) and [blog](http://qoppac.blogspot.com).,True,False,False,False,robcarver17/systematictradingexamples
pysystemtrade_examples,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2018-02-21,271,https://github.com/robcarver17/pysystemtrade_examples,Examples using pysystemtrade for Robert Carver's [blog](http://qoppac.blogspot.com).,True,False,False,False,robcarver17/pysystemtrade_examples
ML_Finance_Codes,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2020-06-13,2590,https://github.com/mfrdixon/ML_Finance_Codes,Machine Learning in Finance: From Theory to Practice Book.,True,False,False,False,mfrdixon/ML_Finance_Codes
ML_Finance_Codes,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2020-06-13,2591,https://github.com/mfrdixon/ML_Finance_Codes,Machine Learning in Finance: From Theory to Practice Book.,True,False,False,False,mfrdixon/ML_Finance_Codes
Hands-On Machine Learning for Algorithmic Trading,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2023-01-18,1844,https://github.com/packtpublishing/hands-on-machine-learning-for-algorithmic-trading,"Hands-On Machine Learning for Algorithmic Trading, published by Packt.",True,False,False,False,packtpublishing/hands-on-machine-learning-for-algorithmic-trading
financialnoob-misc,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2024-08-26,28,https://github.com/financialnoob/misc,Codes from @financialnoob's posts.,True,False,False,False,financialnoob/misc
MesoSim Options Trading Strategy Library,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2024-04-06,22,https://github.com/deltaray-io/strategy-library,Free and public Options Trading strategy library for MesoSim.,True,False,False,False,deltaray-io/strategy-library
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 2026-05-30 32114 32113 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 2026-05-30 14724 14723 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 2026-05-29 2026-05-30 48877 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 2026-05-29 38624 38627 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 2026-05-30 14656 14655 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 2026-05-20 9625 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 2026-05-23 129 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 2026-05-29 2370 https://github.com/man-group/ArcticDB High performance datastore for time series and tick data. True False False False man-group/ArcticDB
100 RustQuant Rust Rust Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2026-01-14 1749 https://github.com/avhz/RustQuant Quantitative finance library written in Rust. True False False False avhz/RustQuant
101 QoX Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2026-04-22 3 https://github.com/bboutelje/qox-python-samples Finite difference pricing library written in Rust. True False False False bboutelje/qox-python-samples
102 pandas_talib Python Python Technical Indicators Technical Indicators technical-indicators 2018-05-30 780 https://github.com/femtotrader/pandas_talib A Python Pandas implementation of technical analysis indicators. True False False False femtotrader/pandas_talib
103 finta Python Python Technical Indicators Technical Indicators technical-indicators 2022-07-24 2254 2255 https://github.com/peerchemist/finta Common financial technical analysis indicators implemented in Pandas. True False False False peerchemist/finta
104 Tulipy Python Python Technical Indicators Technical Indicators technical-indicators 2019-04-11 92 https://github.com/cirla/tulipy Financial Technical Analysis Indicator Library (Python bindings for [tulipindicators](https://github.com/TulipCharts/tulipindicators)). True False False False cirla/tulipy
105 lppls Python Python Technical Indicators Technical Indicators technical-indicators 2026-02-15 2026-05-30 462 https://github.com/Boulder-Investment-Technologies/lppls A Python module for fitting the [Log-Periodic Power Law Singularity (LPPLS)](https://en.wikipedia.org/wiki/Didier_Sornette#The_JLS_and_LPPLS_models) model. True False False False Boulder-Investment-Technologies/lppls
106 talipp Python Python Technical Indicators Technical Indicators technical-indicators 2025-09-09 528 https://github.com/nardew/talipp Incremental technical analysis library for Python. True False False False nardew/talipp
107 streaming_indicators Python Python Technical Indicators Technical Indicators technical-indicators 2025-04-27 151 https://github.com/mr-easy/streaming_indicators A python library for computing technical analysis indicators on streaming data. True False False False mr-easy/streaming_indicators
108 TA-Lib Python Python Technical Indicators Technical Indicators technical-indicators 2026-03-16 12002 https://github.com/mrjbq7/ta-lib Python wrapper for TA-Lib (<http://ta-lib.org/>). True False False False mrjbq7/ta-lib
109 ta Python Python Technical Indicators Technical Indicators technical-indicators 2026-03-18 5092 5093 https://github.com/bukosabino/ta Technical Analysis Library using Pandas (Python). True False False False bukosabino/ta
110 bta-lib Python Python Technical Indicators Technical Indicators technical-indicators 2020-03-11 498 https://github.com/mementum/bta-lib Technical Analysis library in pandas for backtesting algotrading and quantitative analysis. True False False False mementum/bta-lib
111 TuneTA Python Python Technical Indicators Technical Indicators technical-indicators 2023-10-13 461 https://github.com/jmrichardson/tuneta TuneTA optimizes technical indicators using a distance correlation measure to a user defined target feature such as next day return. True False False False jmrichardson/tuneta
112 TTR R R Technical Indicators Technical Indicators technical-indicators 2026-02-28 342 https://github.com/joshuaulrich/TTR Technical Trading Rules. True False False False joshuaulrich/TTR
127 AI Quant Agents Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-03-24 9 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
128 TradeSight Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-20 82 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
129 Orallexa Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-29 38 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
130 Vibe-Trading Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-30 9042 9050 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
131 DeepAlpha Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-12 21 22 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
132 the0 Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-24 259 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
133 Investing algorithm framework Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-24 1233 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
134 Lumibot Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-30 1624 https://github.com/Lumiwealth/lumibot Algorithmic trading framework where the same code runs for backtesting and live trading across stocks, options, crypto, futures, and forex with multiple brokers including Alpaca, Interactive Brokers, Tradier, and Schwab. True False False False Lumiwealth/lumibot
135 QSTrader Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2024-06-24 3384 https://github.com/mhallsmoore/qstrader QSTrader backtesting simulation engine. True False False False mhallsmoore/qstrader
136 Blankly Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2024-12-30 2437 https://github.com/Blankly-Finance/Blankly Fully integrated backtesting, paper trading, and live deployment. True False False False Blankly-Finance/Blankly
137 zipline Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2020-10-14 19830 https://github.com/quantopian/zipline Pythonic algorithmic trading library. True False False False quantopian/zipline
138 zipline-reloaded Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2025-11-13 1782 1783 https://github.com/stefan-jansen/zipline-reloaded Zipline, a Pythonic Algorithmic Trading Library. True False False False stefan-jansen/zipline-reloaded
139 QuantSoftware Toolkit Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2016-10-07 479 https://github.com/QuantSoftware/QuantSoftwareToolkit Python-based open source software framework designed to support portfolio construction and management. True False False False QuantSoftware/QuantSoftwareToolkit
140 quantitative Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2019-03-03 66 https://github.com/jeffrey-liang/quantitative Quantitative finance, and backtesting library. True False False False jeffrey-liang/quantitative
141 analyzer Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2015-12-22 215 https://github.com/llazzaro/analyzer Python framework for real-time financial and backtesting trading strategies. True False False False llazzaro/analyzer
142 bt Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-05 2878 https://github.com/pmorissette/bt Flexible Backtesting for Python. True False False False pmorissette/bt
143 backtrader Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2023-04-19 21757 21759 https://github.com/backtrader/backtrader Python Backtesting library for trading strategies. True False False False backtrader/backtrader
144 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
145 pybacktest Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2019-09-09 822 https://github.com/ematvey/pybacktest Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier. True False False False ematvey/pybacktest
146 pyalgotrade Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2023-03-05 4654 https://github.com/gbeced/pyalgotrade Python Algorithmic Trading Library. True False False False gbeced/pyalgotrade
163 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
164 catalyst Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2021-09-22 2564 https://github.com/enigmampc/catalyst An Algorithmic Trading Library for Crypto-Assets in Python. True False False False enigmampc/catalyst
165 quantstats Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-01-13 7189 https://github.com/ranaroussi/quantstats Portfolio analytics for quants, written in Python. True False False False ranaroussi/quantstats
166 jquantstats Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-29 32 33 https://github.com/Jebel-Quant/jquantstats Modern variation of quantstats, with additional features and performance improvements. True False False False Jebel-Quant/jquantstats
167 qtpylib Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2021-03-24 2260 https://github.com/ranaroussi/qtpylib QTPyLib, Pythonic Algorithmic Trading <http://qtpylib.io>. True False False False ranaroussi/qtpylib
168 Quantdom Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2019-03-12 766 https://github.com/constverum/Quantdom Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:.] True False False False constverum/Quantdom
169 freqtrade Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-30 50929 50936 https://github.com/freqtrade/freqtrade Free, open source crypto trading bot. True False False False freqtrade/freqtrade
170 algorithmic-trading-with-python Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2021-06-01 3399 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
171 Qlib Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-22 43744 43749 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
172 machine-learning-for-trading Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2023-03-05 17430 17446 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
173 AlphaPy Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2025-08-24 1728 https://github.com/ScottfreeLLC/AlphaPy Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost. True False False False ScottfreeLLC/AlphaPy
174 jesse Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-30 7960 7961 https://github.com/jesse-ai/jesse An advanced crypto trading bot written in Python. True False False False jesse-ai/jesse
175 rqalpha Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-20 6431 https://github.com/ricequant/rqalpha A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities. True False False False ricequant/rqalpha
176 FinRL-Library Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-05 15280 15282 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
177 aurumq-rl Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-18 7 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
178 bulbea Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2017-03-19 2283 https://github.com/achillesrasquinha/bulbea Deep Learning based Python Library for Stock Market Prediction and Modelling. True False False False achillesrasquinha/bulbea
179 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
180 OctoBot Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-16 6009 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
181 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
182 Stock-Prediction-Models Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2021-01-05 9364 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
183 AutoTrader Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2025-05-04 1261 1262 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
184 fast-trade Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-21 557 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
185 qf-lib Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-28 936 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
186 tda-api Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2024-06-16 1316 https://github.com/alexgolec/tda-api Gather data and trade equities, options, and ETFs via TDAmeritrade. True False False False alexgolec/tda-api
187 vectorbt Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-23 7723 7724 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
188 Lean Python Python,C# Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-29 19507 19520 https://github.com/QuantConnect/Lean Lean Algorithmic Trading Engine by QuantConnect (Python, C#). True False False False QuantConnect/Lean
189 pysystemtrade Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-18 3323 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
190 pytrendseries Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-30 165 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
191 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
192 PyBroker Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-11 3331 https://github.com/edtechre/pybroker Algorithmic Trading with Machine Learning. True False False False edtechre/pybroker
193 OctoBot Script Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-03-30 41 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
194 hftbacktest Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2025-12-23 4125 4127 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
195 flashalpha-fill-simulator Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-06 0 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
196 vnpy Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-17 41143 41144 https://github.com/vnpy/vnpy VeighNa is a Python-based open source quantitative trading system development framework. True False False False vnpy/vnpy
197 Intelligent Trading Bot Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-18 1702 1703 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
198 fastquant Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2023-09-15 1750 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
199 nautilus_trader Python Python,Rust Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-30 2026-05-31 23164 23170 https://github.com/nautechsystems/nautilus_trader A high-performance algorithmic trading platform and event-driven backtester. True False False False nautechsystems/nautilus_trader
200 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
201 Trading Strategy Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-28 223 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
202 Hikyuu Python Python,C++ Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-30 3190 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
220 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
221 Lucky.jl Julia Julia Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-19 28 https://github.com/oliviermilla/Lucky.jl Modular, asynchronous trading engine in pure Julia. True False False False oliviermilla/Lucky.jl
222 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
223 ccxt JavaScript JavaScript,Python,PHP Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-30 42715 42719 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
224 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
225 TradeClaw JavaScript JavaScript Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-30 27 https://github.com/naimkatiman/tradeclaw Open-source AI trading signal platform with RSI/MACD/EMA confluence scoring, real-time signals for 10+ assets, self-hostable with one Docker command. True False False False naimkatiman/tradeclaw
226 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
233 OrderMatchingEngine CPP CPP Trading & Backtesting Trading & Backtesting trading-backtesting 2026-01-11 146 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
234 PandoraTrader CPP CPP Trading & Backtesting Trading & Backtesting trading-backtesting 2025-07-29 1404 https://github.com/pegasusTrader/PandoraTrader A C++ CTP trading framework, with very clear logic. True False False False pegasusTrader/PandoraTrader
235 NexusFix CPP CPP Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-27 55 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
236 QuantConnect CSharp CSharp Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-29 19507 19520 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
237 StockSharp CSharp CSharp Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-19 10022 10023 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
238 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
239 Barter Rust Rust Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-09 2155 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
240 LFEST Rust Rust Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-07 80 https://github.com/MathisWellmann/lfest-rs Simulated perpetual futures exchange to trade your strategy against. True False False False MathisWellmann/lfest-rs
279 OnlinePortfolioAnalytics.jl Julia Julia Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-04-13 13 https://github.com/femtotrader/OnlinePortfolioAnalytics.jl A Julia quantitative portfolio analytics (risk / performance) via online algorithms. True False False False femtotrader/OnlinePortfolioAnalytics.jl
280 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
281 portfolio-allocation JavaScript JavaScript Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2022-08-11 186 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
282 Ghostfolio JavaScript JavaScript Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-05-30 8540 8541 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
283 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
284 Alpha Skills Python Python Factor Analysis Factor Analysis factor-analysis 2026-04-14 46 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
285 alphalens Python Python Factor Analysis Factor Analysis factor-analysis 2020-04-27 4290 https://github.com/quantopian/alphalens Performance analysis of predictive alpha factors. True False False False quantopian/alphalens
320 TimeSeries.jl Julia Julia Time Series Analysis Time Series Analysis time-series-analysis 2026-03-30 369 https://github.com/JuliaStats/TimeSeries.jl Time series toolkit for Julia. True False False False JuliaStats/TimeSeries.jl
321 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
322 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
323 OpenBB Terminal Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-05-29 68275 68279 https://github.com/OpenBB-finance/OpenBBTerminal Terminal for investment research for everyone. True False False False OpenBB-finance/OpenBBTerminal
324 Fincept Terminal Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-05-30 24656 24694 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
325 yfinance Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-05-28 23904 https://github.com/ranaroussi/yfinance Yahoo! Finance market data downloader (+faster Pandas Datareader). True False False False ranaroussi/yfinance
326 coinpaprika-api-python-client Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-03 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
327 defeatbeta-api Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-05-29 644 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
339 yfinanceapi Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2020-05-26 9 https://github.com/Karthik005/yfinanceapi Finance API for Python. True False False False Karthik005/yfinanceapi
340 yql-finance Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2015-08-29 16 https://github.com/slawek87/yql-finance yql-finance is simple and fast. API returns stock closing prices for current period of time and current stock ticker (i.e. APPL, GOOGL). True False False False slawek87/yql-finance
341 ystockquote Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2017-03-10 537 https://github.com/cgoldberg/ystockquote Retrieve stock quote data from Yahoo Finance. True False False False cgoldberg/ystockquote
342 jugaad-data Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-03-16 524 525 https://github.com/jugaad-py/jugaad-data Download historical and live stock data from NSE (National Stock Exchange of India), BSE, and RBI. True False False False jugaad-py/jugaad-data
343 nsetools Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2025-03-18 891 https://github.com/vsjha18/nsetools Python library for extracting real-time data from National Stock Exchange (India). True False False False vsjha18/nsetools
344 bsedata Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources error 0 https://github.com/sdrdis/bsedata Python library for extracting real-time data from Bombay Stock Exchange (India). True False False False sdrdis/bsedata
345 nse-insights-api Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources error 0 https://github.com/pratik-choudhari/nse-insights Unofficial NSE India API for stock quotes, indices, historical data and more. True False False False pratik-choudhari/nse-insights
376 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
377 alpaca-trade-api Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2024-01-12 1874 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
378 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
379 akshare Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-05-27 19868 19872 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
380 yahooquery Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2025-05-15 910 https://github.com/dpguthrie/yahooquery Python interface for retrieving data through unofficial Yahoo Finance API. True False False False dpguthrie/yahooquery
381 investpy Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2022-10-02 1828 1829 https://github.com/alvarobartt/investpy Financial Data Extraction from Investing.com with Python! <https://investpy.readthedocs.io/>. True False False False alvarobartt/investpy
382 yliveticker Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-03-28 168 https://github.com/yahoofinancelive/yliveticker Live stream of market data from Yahoo Finance websocket. True False False False yahoofinancelive/yliveticker
383 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
384 polygon.io Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-05-26 1448 https://github.com/polygon-io/client-python A python library for Polygon.io financial data APIs. True False False False polygon-io/client-python
401 fsynth Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2025-12-27 7 https://github.com/welcra/fsynth Python library for high-fidelity unlimited synthetic financial data generation using Heston Stochastic Volatility and Merton Jump Diffusion. True False False False welcra/fsynth
402 fedfred Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 0 https://nikhilxsunder.github.io/fedfred/ FRED & GeoFRED Economic data API with preprocessed dataframe output in pandas/geopandas, polars/polars_st, and dask dataframes/geodataframes. False False False False
403 edgar-sec Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 0 https://nikhilxsunder.github.io/edgar-sec/ EDGAR Financial data API with preprocessed dataclass outputs. False False False False
404 edgartools Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-05-29 2242 2243 https://github.com/dgunning/edgartools AI-native SEC EDGAR library with XBRL financials, clean text extraction, 17+ typed forms, and pandas DataFrames. True False False False dgunning/edgartools
405 FilingFirehose Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-05-10 1 https://filingfirehose.com SEC EDGAR JSON API: body-text-classified 8-Ks flagging buried events (7.3% of Item 8.01 filings), Schedule 13D/G with 21+ activist filers auto-tagged, S-3/424B5 ATM offering detection. Also exposed as MCP server, ChatGPT GPT, and GitHub Action. Free public tier covers last 72h. [GitHub](https://github.com/jaablon/filingfirehose-python) True False False False jaablon/filingfirehose-python
406 FXMacroData Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-15 6 https://fxmacrodata.com/ Real-time forex macroeconomic API for all major currency pairs sourced from central bank announcements. [GitHub](https://github.com/fxmacrodata/fxmacrodata) True False False False fxmacrodata/fxmacrodata
407 uk-sic-codes Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources error 0 https://github.com/borschai/uk-sic-codes UK SIC 2007 industry classification code lookup, search, and validation. 731 codes, 21 sections. [PyPI](https://pypi.org/project/uk-sic-codes/) True False False False borschai/uk-sic-codes
427 fin-stream Rust Rust Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-03-23 8 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
428 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
429 Coinugget Web Web Market Data & Data Sources Market Data & Data Sources market-data-data-sources 0 https://coinugget.com Real-time RSI signals, price action & volume spikes dashboard across multiple exchanges. Free, no sign-up required. False False False False
430 pmxt Python Python,JavaScript Prediction Markets Prediction Markets prediction-markets 2026-05-30 1825 1827 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
431 polymarket-whales Python Python Prediction Markets Prediction Markets prediction-markets 2026-03-20 51 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
432 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
433 SimpleFunctions JavaScript JavaScript Prediction Markets Prediction Markets prediction-markets 2026-05-06 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
434 pmxt Python Python,JavaScript Prediction Markets Prediction Markets prediction-markets 2026-05-30 1825 1827 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
435 PolyMind Python Python Prediction Markets Prediction Markets prediction-markets 2026-05-28 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
436 prediction-market-maker Python Python Prediction Markets Prediction Markets prediction-markets 2026-04-10 14 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
437 Oracle3 Python Python Prediction Markets Prediction Markets prediction-markets 2026-05-07 242 244 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
438 exchange_calendars Python Python Calendars & Market Hours Calendars & Market Hours calendars-market-hours 2026-04-26 630 https://github.com/gerrymanoim/exchange_calendars Stock Exchange Trading Calendars. True False False False gerrymanoim/exchange_calendars
439 bizdays Python Python Calendars & Market Hours Calendars & Market Hours calendars-market-hours 2026-03-08 89 https://github.com/wilsonfreitas/python-bizdays Business days calculations and utilities. True False False False wilsonfreitas/python-bizdays
440 pandas_market_calendars Python Python Calendars & Market Hours Calendars & Market Hours calendars-market-hours 2026-05-27 972 https://github.com/rsheftel/pandas_market_calendars Exchange calendars to use with pandas for trading applications. True False False False rsheftel/pandas_market_calendars
443 D-Tale Python Python Visualization Visualization visualization 2026-05-11 5156 https://github.com/man-group/dtale Visualizer for pandas dataframes and xarray datasets. True False False False man-group/dtale
444 mplfinance Python Python Visualization Visualization visualization 2024-04-02 4368 https://github.com/matplotlib/mplfinance matplotlib utilities for the visualization, and visual analysis, of financial data. True False False False matplotlib/mplfinance
445 finplot Python Python Visualization Visualization visualization 2026-03-26 1148 https://github.com/highfestiva/finplot Performant and effortless finance plotting for Python. True False False False highfestiva/finplot
446 finvizfinance Python Python Visualization Visualization visualization 2026-01-03 1415 1416 https://github.com/lit26/finvizfinance Finviz analysis python library. True False False False lit26/finvizfinance
447 market-analy Python Python Visualization Visualization visualization 2026-05-29 77 https://github.com/maread99/market_analy Analysis and interactive charting using [market-prices](https://github.com/maread99/market_prices) and bqplot. True False False False maread99/market_analy
448 QuantInvestStrats Python Python Visualization Visualization visualization 2026-05-20 569 https://github.com/ArturSepp/QuantInvestStrats Quantitative Investment Strategies (QIS) package implements Python analytics for visualisation of financial data, performance reporting, analysis of quantitative strategies. True False False False ArturSepp/QuantInvestStrats
449 LightweightCharts.jl Julia Julia Visualization Visualization visualization 2026-05-05 52 https://github.com/bhftbootcamp/LightweightCharts.jl Julia wrapper for Lightweight Charts™ by TradingView. True False False False bhftbootcamp/LightweightCharts.jl
450 QUANTAXIS_Webkit JavaScript JavaScript Visualization Visualization visualization 2017-07-30 37 https://github.com/yutiansut/QUANTAXIS_Webkit An awesome visualization center based on quantaxis. True False False False yutiansut/QUANTAXIS_Webkit
451 dxcharts-lite JavaScript JavaScript Visualization Visualization visualization 2026-05-25 93 https://github.com/devexperts/dxcharts-lite Flexible financial charting library based on HTML5 canvas. True False False False devexperts/dxcharts-lite
452 Bilig TypeScript TypeScript Excel & Spreadsheet Integration Excel & Spreadsheet Integration excel-spreadsheet-integration 2026-05-30 2026-05-31 29 https://github.com/proompteng/bilig Formula WorkPaper and XLSX recalculation runtime for Node.js services and agent tools. True False False False proompteng/bilig
453 xlwings Python Python Excel & Spreadsheet Integration Excel & Spreadsheet Integration excel-spreadsheet-integration 2026-05-29 3355 3356 https://www.xlwings.org/ Make Excel fly with Python. [GitHub](https://github.com/xlwings/xlwings) True False False False xlwings/xlwings
454 openpyxl Python Python Excel & Spreadsheet Integration Excel & Spreadsheet Integration excel-spreadsheet-integration 0 https://openpyxl.readthedocs.io/en/latest/ Read/Write Excel 2007 xlsx/xlsm files. False False False False
455 xlrd Python Python Excel & Spreadsheet Integration Excel & Spreadsheet Integration excel-spreadsheet-integration 2025-06-14 2209 https://github.com/python-excel/xlrd Library for developers to extract data from Microsoft Excel spreadsheet files. True False False False python-excel/xlrd
456 xlsxwriter Python Python Excel & Spreadsheet Integration Excel & Spreadsheet Integration excel-spreadsheet-integration 2026-03-22 3947 https://xlsxwriter.readthedocs.io/ Write files in the Excel 2007+ XLSX file format. [GitHub](https://github.com/jmcnamara/XlsxWriter) True False False False jmcnamara/XlsxWriter
471 PyQL Cross-Language Frameworks Cross-Language Frameworks cross-language-frameworks 2025-08-20 1306 https://github.com/enthought/pyql Python port. True False False False enthought/pyql
472 QuantLib.jl Cross-Language Frameworks Cross-Language Frameworks cross-language-frameworks 2020-02-18 144 https://github.com/pazzo83/QuantLib.jl Julia port. True False False False pazzo83/QuantLib.jl
473 QuantLib-Python Documentation Cross-Language Frameworks Cross-Language Frameworks cross-language-frameworks 0 https://quantlib-python-docs.readthedocs.io/ Documentation for the Python bindings for the QuantLib library. False False False False
474 TA-Lib Cross-Language Frameworks Cross-Language Frameworks cross-language-frameworks 2025-10-19 1588 1589 https://ta-lib.org perform technical analysis of financial market data. [GitHub](https://github.com/TA-Lib/ta-lib) True False False False TA-Lib/ta-lib
475 RunMat Cross-Language Frameworks Cross-Language Frameworks cross-language-frameworks 2026-05-22 216 https://github.com/runmat-org/runmat Rust runtime for MATLAB-syntax array math with automatic CPU/GPU execution and fused kernels for quant simulations. True False False False runmat-org/runmat
476 Special-Relativity-in-Financial-Modeling Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2026-03-23 10 https://github.com/Mattbusel/Special-Relativity-in-Financial-Modeling C++20 implementation of special-relativistic geometry applied to OHLCV data: Lorentz factors, spacetime intervals, Christoffel symbols, and geodesic deviation signals from live market data. DOI: 10.5281/zenodo.18639919. True False False False Mattbusel/Special-Relativity-in-Financial-Modeling
477 Auto-Differentiation Website Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 0 https://auto-differentiation.github.io/ Background and resources on Automatic Differentiation (AD) / Adjoint Algorithmic Differentitation (AAD). False False False False
490 QuantFinance Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2025-09-02 616 https://github.com/PythonCharmers/QuantFinance Training materials in quantitative finance. True False False False PythonCharmers/QuantFinance
491 IPythonScripts Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2026-02-28 178 https://github.com/mgroncki/IPythonScripts Tutorials about Quantitative Finance in Python and QuantLib: Pricing, xVAs, Hedging, Portfolio Optimisation, Machine Learning and Deep Learning. True False False False mgroncki/IPythonScripts
492 Computational-Finance-Course Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2024-03-01 550 https://github.com/LechGrzelak/Computational-Finance-Course Materials for the course of Computational Finance. True False False False LechGrzelak/Computational-Finance-Course
493 Machine-Learning-for-Asset-Managers Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2025-01-29 637 638 https://github.com/emoen/Machine-Learning-for-Asset-Managers Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado. True False False False emoen/Machine-Learning-for-Asset-Managers
494 Python-for-Finance-Cookbook Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2026-03-02 791 https://github.com/PacktPublishing/Python-for-Finance-Cookbook Python for Finance Cookbook, published by Packt. True False False False PacktPublishing/Python-for-Finance-Cookbook
495 modelos_vol_derivativos Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2023-08-19 59 https://github.com/ysaporito/modelos_vol_derivativos "Modelos de Volatilidade para Derivativos" book's Jupyter notebooks. True False False False ysaporito/modelos_vol_derivativos
496 NMOF Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2025-10-27 38 https://github.com/enricoschumann/NMOF Functions, examples and data from the first and the second edition of "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658). True False False False enricoschumann/NMOF
509 Differential Machine Learning and Axes that matter by Brian Huge and Antoine Savine Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2022-10-05 148 https://github.com/differential-machine-learning/notebooks Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers. True False False False differential-machine-learning/notebooks
510 systematictradingexamples Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2020-07-22 481 https://github.com/robcarver17/systematictradingexamples Examples of code related to book [Systematic Trading](www.systematictrading.org) and [blog](http://qoppac.blogspot.com). True False False False robcarver17/systematictradingexamples
511 pysystemtrade_examples Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2018-02-21 271 https://github.com/robcarver17/pysystemtrade_examples Examples using pysystemtrade for Robert Carver's [blog](http://qoppac.blogspot.com). True False False False robcarver17/pysystemtrade_examples
512 ML_Finance_Codes Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2020-06-13 2590 2591 https://github.com/mfrdixon/ML_Finance_Codes Machine Learning in Finance: From Theory to Practice Book. True False False False mfrdixon/ML_Finance_Codes
513 Hands-On Machine Learning for Algorithmic Trading Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2023-01-18 1844 https://github.com/packtpublishing/hands-on-machine-learning-for-algorithmic-trading Hands-On Machine Learning for Algorithmic Trading, published by Packt. True False False False packtpublishing/hands-on-machine-learning-for-algorithmic-trading
514 financialnoob-misc Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2024-08-26 28 https://github.com/financialnoob/misc Codes from @financialnoob's posts. True False False False financialnoob/misc
515 MesoSim Options Trading Strategy Library Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2024-04-06 22 https://github.com/deltaray-io/strategy-library Free and public Options Trading strategy library for MesoSim. True False False False deltaray-io/strategy-library