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<p class="hero-subtitle">A curated list of insanely awesome libraries, packages and resources for Quants.</p>
<p class="hero-maintained">Maintained by <a href="https://github.com/wilsonfreitas">Wilson Freitas</a></p>
<div class="hero-stats">
<span class="stat"><strong>546</strong> projects</span>
<span class="stat"><strong>547</strong> projects</span>
<span class="stat-sep"></span>
<span class="stat"><strong>21</strong> languages</span>
</div>
@@ -90,13 +90,13 @@
</tr>
</thead>
<tbody>
<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="32111">
<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="32112">
<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="32,111 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="32,112 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 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>
@@ -142,13 +142,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="48872">
<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="48873">
<td class="col-num">3</td>
<td class="col-name">
<a href="https://pandas.pydata.org" target="_blank" rel="noopener">pandas</a>
<span class="mobile-category">Numerical Libraries &amp; Data Structures</span>
</td>
<td class="col-stars"><span class="stars" title="48,872 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> 48.9k</span></td>
<td class="col-stars"><span class="stars" title="48,873 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-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</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="38627">
<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="38626">
<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="38,627 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-stars"><span class="stars" title="38,626 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>
@@ -972,13 +972,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Financial Instruments &amp; Pricing" data-sources="github" data-stars="10541">
<tr class="row" data-languages="Python" data-category="Financial Instruments &amp; Pricing" data-sources="github" data-stars="10542">
<td class="col-num">35</td>
<td class="col-name">
<a href="https://github.com/goldmansachs/gs-quant" target="_blank" rel="noopener">gs-quant</a>
<span class="mobile-category">Financial Instruments &amp; Pricing</span>
</td>
<td class="col-stars"><span class="stars" title="10,541 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> 10.5k</span></td>
<td class="col-stars"><span class="stars" title="10,542 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 10.5k</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>
@@ -3383,13 +3383,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="9017">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="9020">
<td class="col-num">128</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="9,017 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="9,020 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-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>
@@ -4292,13 +4292,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="7187">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="7188">
<td class="col-num">163</td>
<td class="col-name">
<a href="https://github.com/ranaroussi/quantstats" target="_blank" rel="noopener">quantstats</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="7,187 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> 7.2k</span></td>
<td class="col-stars"><span class="stars" title="7,188 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> 7.2k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-01-13">2026-01-13</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4396,13 +4396,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="50914">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="50916">
<td class="col-num">167</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="50,914 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="50,916 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>
@@ -4448,13 +4448,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="43725">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="43726">
<td class="col-num">169</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="43,725 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="43,726 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>
@@ -4474,13 +4474,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="17414">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="17415">
<td class="col-num">170</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="17,414 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="17,415 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> 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>
@@ -4526,13 +4526,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="7958">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="7959">
<td class="col-num">172</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="7,958 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="7,959 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: 2026-05-26">2026-05-26</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4865,13 +4865,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="7719">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="7720">
<td class="col-num">185</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="7,719 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> 7.7k</span></td>
<td class="col-stars"><span class="stars" title="7,720 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>
@@ -4891,13 +4891,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python C#" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="19457">
<tr class="row" data-languages="Python C#" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="19462">
<td class="col-num">186</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="19,457 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="19,462 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> 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>
@@ -5178,13 +5178,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python Rust" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="23154">
<tr class="row" data-languages="Python Rust" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="23155">
<td class="col-num">197</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="23,154 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-stars"><span class="stars" title="23,155 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-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5832,13 +5832,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="JavaScript" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="26">
<tr class="row" data-languages="JavaScript" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="27">
<td class="col-num">222</td>
<td class="col-name">
<a href="https://github.com/naimkatiman/tradeclaw" target="_blank" rel="noopener">TradeClaw</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="26 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> 26</span></td>
<td class="col-stars"><span class="stars" title="27 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 27</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="JavaScript">javascript</button>
@@ -6119,13 +6119,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="19457">
<tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="19462">
<td class="col-num">233</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="19,457 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="19,462 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> 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>
@@ -6302,13 +6302,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Node.js TypeScript" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="26">
<tr class="row" data-languages="Node.js TypeScript" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="27">
<td class="col-num">240</td>
<td class="col-name">
<a href="https://github.com/naimkatiman/tradeclaw" target="_blank" rel="noopener">TradeClaw</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="26 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> 26</span></td>
<td class="col-stars"><span class="stars" title="27 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 27</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="Node.js">node.js</button>
@@ -8251,13 +8251,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="68259">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="68260">
<td class="col-num">315</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="68,259 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="68,260 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>
@@ -8277,13 +8277,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="24605">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="24608">
<td class="col-num">316</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="24,605 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> 24.6k</span></td>
<td class="col-stars"><span class="stars" title="24,608 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> 24.6k</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>
@@ -8303,13 +8303,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="23900">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="23901">
<td class="col-num">317</td>
<td class="col-name">
<a href="https://github.com/ranaroussi/yfinance" target="_blank" rel="noopener">yfinance</a>
<span class="mobile-category">Market Data &amp; Data Sources</span>
</td>
<td class="col-stars"><span class="stars" title="23,900 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> 23.9k</span></td>
<td class="col-stars"><span class="stars" title="23,901 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> 23.9k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-28">2026-05-28</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -8563,13 +8563,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="3209">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="3210">
<td class="col-num">327</td>
<td class="col-name">
<a href="https://github.com/pydata/pandas-datareader" target="_blank" rel="noopener">pandas-datareader</a>
<span class="mobile-category">Market Data &amp; Data Sources</span>
</td>
<td class="col-stars"><span class="stars" title="3,209 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> 3.2k</span></td>
<td class="col-stars"><span class="stars" title="3,210 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> 3.2k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2025-04-03">2025-04-03</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -9681,13 +9681,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="19862">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="19863">
<td class="col-num">370</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="19,862 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="19,863 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>
@@ -10175,13 +10175,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="7675">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="7677">
<td class="col-num">389</td>
<td class="col-name">
<a href="https://github.com/JerBouma/FinanceDatabase" target="_blank" rel="noopener">FinanceDatabase</a>
<span class="mobile-category">Market Data &amp; Data Sources</span>
</td>
<td class="col-stars"><span class="stars" title="7,675 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="7,677 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: 2026-05-30">2026-05-30</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -11011,7 +11011,7 @@
<span class="mobile-category">Prediction Markets</span>
</td>
<td class="col-stars"><span class="stars" title="1,824 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: 2026-05-26">2026-05-26</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-lang" data-filter-type="language" data-filter-value="JavaScript">javascript</button>
@@ -11116,7 +11116,7 @@
<span class="mobile-category">Prediction Markets</span>
</td>
<td class="col-stars"><span class="stars" title="1,824 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: 2026-05-26">2026-05-26</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-lang" data-filter-type="language" data-filter-value="JavaScript">javascript</button>
@@ -11884,13 +11884,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="" data-category="Cross-Language Frameworks" data-sources="github" data-stars="7186">
<tr class="row" data-languages="" data-category="Cross-Language Frameworks" data-sources="github" data-stars="7187">
<td class="col-num">455</td>
<td class="col-name">
<a href="https://github.com/lballabio/QuantLib" target="_blank" rel="noopener">QuantLib</a>
<span class="mobile-category">Cross-Language Frameworks</span>
</td>
<td class="col-stars"><span class="stars" title="7,186 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> 7.2k</span></td>
<td class="col-stars"><span class="stars" title="7,187 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> 7.2k</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-section" data-filter-type="category" data-filter-value="Cross-Language Frameworks">cross-language-frameworks</button>
@@ -14055,6 +14055,30 @@
</tr>
<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
<td class="col-num">543</td>
<td class="col-name">
<a href="https://thestockradar.com" target="_blank" rel="noopener">The Stock Radar</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
</td>
<td class="col-stars"></td>
<td class="col-update"></td>
<td class="col-tags">
<button class="tag tag-section" data-filter-type="category" data-filter-value="Commercial &amp; Proprietary Services">commercial-proprietary-services</button>
</td>
<td class="col-arrow"><span class="arrow">&#8250;</span></td>
</tr>
<tr class="expand-row" hidden>
<td colspan="6">
<div class="expand-content">
<p class="expand-desc">Daily multi-language stock movers, technical analysis, earnings recaps, and weekly research reports across 6 markets (US, Korea, Japan, Taiwan, India, Germany) published in 6 languages.</p>
<div class="expand-links">
<a href="https://thestockradar.com" target="_blank" rel="noopener">https://thestockradar.com</a>
</div>
</div>
</td>
</tr>
<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
<td class="col-num">544</td>
<td class="col-name">
<a href="https://webb-database.com/" target="_blank" rel="noopener">Webb Database</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -14078,7 +14102,7 @@
</td>
</tr>
<tr class="row" data-languages="" data-category="Commercial &amp; Proprietary Services" data-sources="" data-stars="0">
<td class="col-num">544</td>
<td class="col-num">545</td>
<td class="col-name">
<a href="https://gitdealflow.com" target="_blank" rel="noopener">GitDealFlow</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
@@ -14102,7 +14126,7 @@
</td>
</tr>
<tr class="row" data-languages="" data-category="Related Lists" data-sources="github" data-stars="24">
<td class="col-num">545</td>
<td class="col-num">546</td>
<td class="col-name">
<a href="https://github.com/vibeyclaw/awesome-sec-filings" target="_blank" rel="noopener">awesome-sec-filings</a>
<span class="mobile-category">Related Lists</span>
@@ -14127,7 +14151,7 @@
</td>
</tr>
<tr class="row" data-languages="" data-category="Related Lists" data-sources="github" data-stars="0">
<td class="col-num">546</td>
<td class="col-num">547</td>
<td class="col-name">
<a href="https://github.com/convexfi" target="_blank" rel="noopener">CONVEXFI</a>
<span class="mobile-category">Related Lists</span>
projects.csv
+26 -25
View File
@@ -1,8 +1,8 @@
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,2026-05-30,32111,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
numpy,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-05-30,32112,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,2026-05-30,14725,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,2026-05-29,48872,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
pandas,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-05-29,48873,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,2026-05-29,38626,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,2026-05-30,14655,https://www.sympy.org/,SymPy is a Python library for symbolic mathematics. [GitHub](https://github.com/sympy/sympy),True,False,False,False,sympy/sympy
@@ -33,7 +33,7 @@ pynance,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pr
tia,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2017-06-05,429,https://github.com/bpsmith/tia,Toolkit for integration and analysis.,True,False,False,False,bpsmith/tia
pysabr,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2022-04-21,611,https://github.com/ynouri/pysabr,SABR model Python implementation.,True,False,False,False,ynouri/pysabr
FinancePy,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2026-05-26,2969,https://github.com/domokane/FinancePy,"A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.",True,False,False,False,domokane/FinancePy
gs-quant,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2026-05-29,10541,https://github.com/goldmansachs/gs-quant,Python toolkit for quantitative finance.,True,False,False,False,goldmansachs/gs-quant
gs-quant,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2026-05-29,10542,https://github.com/goldmansachs/gs-quant,Python toolkit for quantitative finance.,True,False,False,False,goldmansachs/gs-quant
willowtree,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2018-07-14,368,https://github.com/federicomariamassari/willowtree,Robust and flexible Python implementation of the willow tree lattice for derivatives pricing.,True,False,False,False,federicomariamassari/willowtree
financial-engineering,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2017-11-20,526,https://github.com/federicomariamassari/financial-engineering,"Applications of Monte Carlo methods to financial engineering projects, in Python.",True,False,False,False,federicomariamassari/financial-engineering
optlib,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2022-11-18,1495,https://github.com/dbrojas/optlib,A library for financial options pricing written in Python.,True,False,False,False,dbrojas/optlib
@@ -126,7 +126,7 @@ 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,2026-05-30,9017,https://github.com/HKUDS/Vibe-Trading,"Natural-language multi-agent finance research agent with 29 swarm presets, 70 skills, and 28 auto-discovered tools; 7 backtest engines covering A-shares/US/Crypto/Futures/Forex/Options plus a cross-market CompositeEngine with shared capital pool; 5-source auto-fallback data layer (tushare/okx/yfinance/akshare/ccxt); 17-tool MCP server; includes trade-journal behavioral diagnostics for 同花顺/东财/富途 exports.",True,False,False,False,HKUDS/Vibe-Trading
Vibe-Trading,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-30,9020,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
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
@@ -161,16 +161,16 @@ FinClaw,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backte
aat,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-30,812,https://github.com/timkpaine/aat,Async Algorithmic Trading Engine.,True,False,False,False,timkpaine/aat
Backtesting.py,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,,0,https://kernc.github.io/backtesting.py/,Backtest trading strategies in Python.,False,False,False,False,
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,2026-01-13,7187,https://github.com/ranaroussi/quantstats,"Portfolio analytics for quants, written in Python.",True,False,False,False,ranaroussi/quantstats
quantstats,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-01-13,7188,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
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,2026-05-30,50914,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,2026-05-30,50916,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,2021-06-01,3398,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,2026-04-22,43725,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,2023-03-05,17414,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,2026-04-22,43726,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,2023-03-05,17415,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,2026-05-26,7958,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,2026-05-26,7959,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,2026-05-20,6428,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,2026-04-05,15279,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
@@ -183,8 +183,8 @@ AutoTrader,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-bac
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,2026-04-23,7719,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,2026-05-29,19457,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,2026-04-23,7720,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,2026-05-29,19462,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
@@ -195,7 +195,7 @@ flashalpha-fill-simulator,Python,Python,Trading & Backtesting,Trading & Backtest
vnpy,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-17,41137,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
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,2026-05-30,23154,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,2026-05-30,23155,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,2026-05-30,3188,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 @@ Fastback.jl,Julia,Julia,Trading & Backtesting,Trading & Backtesting,trading-back
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,2026-05-30,42711,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
TradeClaw,JavaScript,JavaScript,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-29,26,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
TradeClaw,JavaScript,JavaScript,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-29,27,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
Tai,Elixir/Erlang,Elixir/Erlang,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-12-06,496,https://github.com/fremantle-capital/tai,"Open Source composable, real time, market data and trade execution toolkit.",True,False,False,False,fremantle-capital/tai
Workbench,Elixir/Erlang,Elixir/Erlang,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2022-06-06,121,https://github.com/fremantle-industries/workbench,From Idea to Execution - Manage your trading operation across a globally distributed cluster.,True,False,False,False,fremantle-industries/workbench
@@ -231,14 +231,14 @@ 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,2026-05-29,19457,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
QuantConnect,CSharp,CSharp,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-29,19462,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,2026-05-19,10019,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
OpenFinClaw,Python,"Python,Rust",Trading & Backtesting,Trading & Backtesting,trading-backtesting,error,0,https://github.com/cryptoSUN2049/openFinclaw,"AI-native one-person hedge fund platform with Rust trading engine. Natural language → strategy → backtest → execution in 60s. Multi-market (US/HK/CN/Crypto), self-evolving strategy pipeline. Built on OpenClaw (68K+ stars).",True,False,False,False,cryptoSUN2049/openFinclaw
Sextant,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-05,1,https://github.com/raphaub-hub/SEXTANT,"Local event-driven backtesting engine with no-code strategy builder and FRED vintage, ALFRED, yFinance support.",True,False,False,False,raphaub-hub/SEXTANT
TradeClaw,Node.js,"Node.js,TypeScript",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-29,26,https://github.com/naimkatiman/tradeclaw,"Open-source self-hosted AI trading signal platform. Generates buy/sell signals using RSI, MACD, EMA, Bollinger Bands for forex, crypto and commodities. Deployable via Docker Compose. ([Demo](https://tradeclaw.win/dashboard))",True,False,False,False,naimkatiman/tradeclaw
TradeClaw,Node.js,"Node.js,TypeScript",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-29,27,https://github.com/naimkatiman/tradeclaw,"Open-source self-hosted AI trading signal platform. Generates buy/sell signals using RSI, MACD, EMA, Bollinger Bands for forex, crypto and commodities. Deployable via Docker Compose. ([Demo](https://tradeclaw.win/dashboard))",True,False,False,False,naimkatiman/tradeclaw
AutoHypothesis,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-04-22,54,https://github.com/arteemg/AutoHypothesis,"An agentic framework that mimics the real quant trading pipeline to find alpha: economic hypothesis, in-sample iteration, and out-of-sample validation.",True,False,False,False,arteemg/AutoHypothesis
skfolio,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-05-16,2007,https://github.com/skfolio/skfolio,"Python library for portfolio optimization built on top of scikit-learn. It provides a unified interface and sklearn compatible tools to build, tune and cross-validate portfolio models.",True,False,False,False,skfolio/skfolio
PyPortfolioOpt,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-03-10,5751,https://github.com/robertmartin8/PyPortfolioOpt,"Financial portfolio optimization in python, including classical efficient frontier and advanced methods.",True,False,False,False,robertmartin8/PyPortfolioOpt
@@ -313,9 +313,9 @@ 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,2026-05-29,68259,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,2026-05-29,24605,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,2026-05-28,23900,https://github.com/ranaroussi/yfinance,Yahoo! Finance market data downloader (+faster Pandas Datareader).,True,False,False,False,ranaroussi/yfinance
OpenBB Terminal,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-05-29,68260,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,2026-05-29,24608,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,2026-05-28,23901,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
financekit-mcp,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-17,4,https://github.com/vdalhambra/financekit-mcp,"MCP server (Model Context Protocol) exposing 17 tools for AI agents to perform quantitative analysis: real-time stock quotes, full technical analysis (RSI, MACD, Bollinger, ADX, Stochastic, ATR, OBV + pattern detection with structured verdicts), crypto prices via CoinGecko, risk metrics (VaR, Sharpe, Sortino, Beta, Max Drawdown), correlation matrix, options chains, earnings calendar, sector rotation, and portfolio analysis. Works with Claude Desktop, Cursor, Windsurf. No API keys for core tools. FastMCP 3.2.",True,False,False,False,vdalhambra/financekit-mcp
@@ -325,7 +325,7 @@ findatapy,Python,Python,Market Data & Data Sources,Market Data & Data Sources,ma
googlefinance,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2018-09-23,823,https://github.com/hongtaocai/googlefinance,Python module to get real-time stock data from Google Finance API.,True,False,False,False,hongtaocai/googlefinance
Horus Flow,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-05-16,1,https://github.com/horustechltd/horus-flow-mcp,Sub-second L2 orderflow intelligence MCP server for institutional-grade market microstructure analysis.,True,False,False,False,horustechltd/horus-flow-mcp
yahoo-finance,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2021-12-15,1435,https://github.com/lukaszbanasiak/yahoo-finance,Python module to get stock data from Yahoo! Finance.,True,False,False,False,lukaszbanasiak/yahoo-finance
pandas-datareader,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2025-04-03,3209,https://github.com/pydata/pandas-datareader,"Python module to get data from various sources (Google Finance, Yahoo Finance, FRED, OECD, Fama/French, World Bank, Eurostat...) into Pandas datastructures such as DataFrame, Panel with a caching mechanism.",True,False,False,False,pydata/pandas-datareader
pandas-datareader,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2025-04-03,3210,https://github.com/pydata/pandas-datareader,"Python module to get data from various sources (Google Finance, Yahoo Finance, FRED, OECD, Fama/French, World Bank, Eurostat...) into Pandas datastructures such as DataFrame, Panel with a caching mechanism.",True,False,False,False,pydata/pandas-datareader
pandas-finance,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2025-03-07,160,https://github.com/davidastephens/pandas-finance,High level API for access to and analysis of financial data.,True,False,False,False,davidastephens/pandas-finance
pyhoofinance,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2016-10-07,9,https://github.com/innes213/pyhoofinance,Rapidly queries Yahoo Finance for multiple tickers and returns typed data for analysis.,True,False,False,False,innes213/pyhoofinance
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
@@ -368,7 +368,7 @@ 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,2026-05-27,19862,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,2026-05-27,19863,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,2025-05-15,909,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
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
@@ -387,7 +387,7 @@ tessa,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market
pandaSDMX,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2023-02-25,133,https://github.com/dr-leo/pandaSDMX,"Python package that implements SDMX 2.1 (ISO 17369:2013), a format for exchange of statistical data and metadata used by national statistical agencies, central banks, and international organisations.",True,False,False,False,dr-leo/pandaSDMX
cif,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2022-06-18,65,https://github.com/LenkaV/CIF,"Python package that include few composite indicators, which summarize multidimensional relationships between individual economic indicators.",True,False,False,False,LenkaV/CIF
finagg,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-03-22,535,https://github.com/theOGognf/finagg,"finagg is a Python package that provides implementations of popular and free financial APIs, tools for aggregating historical data from those APIs into SQL databases, and tools for transforming aggregated data into features useful for analysis and AI/ML.",True,False,False,False,theOGognf/finagg
FinanceDatabase,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-05-30,7675,https://github.com/JerBouma/FinanceDatabase,"This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.",True,False,False,False,JerBouma/FinanceDatabase
FinanceDatabase,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-05-30,7677,https://github.com/JerBouma/FinanceDatabase,"This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.",True,False,False,False,JerBouma/FinanceDatabase
Trading Strategy,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,,0,https://github.com/tradingstrategy-ai/trading-strategy/,download price data for decentralised exchanges and lending protocols (DeFi).,True,False,False,False,
datamule-python,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-20,543,https://github.com/john-friedman/datamule-python,A package to work with SEC data. Incorporates datamule endpoints.,True,False,False,False,john-friedman/datamule-python
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
@@ -419,11 +419,11 @@ marketstore,Golang,Golang,Market Data & Data Sources,Market Data & Data Sources,
fin-stream,Rust,Rust,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-03-23,8,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,2026-05-26,1824,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,2026-05-30,1824,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,2026-03-20,50,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,2026-05-26,1824,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,2026-05-30,1824,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
@@ -453,7 +453,7 @@ Jupyter Quant,Python,Python,Quant Research Environments,Quant Research Environme
RunMat,,,Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,2026-05-22,215,https://runmat.org,"High performance, Open Source, MATLAB syntax runtime. [GitHub](https://github.com/runmat-org/runmat)",True,False,False,False,runmat-org/runmat
QuantLibRisks,,,Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,2026-05-13,39,https://github.com/auto-differentiation/QuantLib-Risks-Cpp,Fast risks with QuantLib in C++.,True,False,False,False,auto-differentiation/QuantLib-Risks-Cpp
XAD,,,Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,2026-04-12,420,https://github.com/auto-differentiation/xad,Automatic Differentation (AAD) Library.,True,False,False,False,auto-differentiation/xad
QuantLib,,,Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,2026-05-29,7186,https://github.com/lballabio/QuantLib,The QuantLib project is aimed at providing a comprehensive software framework for quantitative finance.,True,False,False,False,lballabio/QuantLib
QuantLib,,,Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,2026-05-29,7187,https://github.com/lballabio/QuantLib,The QuantLib project is aimed at providing a comprehensive software framework for quantitative finance.,True,False,False,False,lballabio/QuantLib
JQuantLib,,,Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,2016-02-26,154,https://github.com/frgomes/jquantlib,Java port.,True,False,False,False,frgomes/jquantlib
RQuantLib,,,Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,2026-04-08,131,https://github.com/eddelbuettel/rquantlib,R port.,True,False,False,False,eddelbuettel/rquantlib
QuantLibAddin,,,Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,,0,https://www.quantlib.org/quantlibaddin/,Excel support.,False,False,False,False,
@@ -541,6 +541,7 @@ VertData,,,Commercial & Proprietary Services,Commercial & Proprietary Services,c
KeepRule,,,Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,,0,https://keeprule.com/,"Curated library of decision-making principles and investment wisdom from masters like Buffett and Munger, featuring mental models for better investment thinking.",False,False,False,False,
ML-Quant,,,Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,,0,https://www.ml-quant.com/,"Top Quant resources like ArXiv (sanity), SSRN, RePec, Journals, Podcasts, Videos, and Blogs.",False,False,False,False,
RealMarketAPI,,,Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,,0,https://realmarketapi.com/,"Provides ultra-low latency market data for gold, forex, crypto, and stocks via REST, WebSocket, and MCP—built for speed, reliability, and scale.",False,False,False,False,
The Stock Radar,,,Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,,0,https://thestockradar.com,"Daily multi-language stock movers, technical analysis, earnings recaps, and weekly research reports across 6 markets (US, Korea, Japan, Taiwan, India, Germany) published in 6 languages.",False,False,False,False,
Webb Database,,,Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,,0,https://webb-database.com/,"Aggregates public financial data from HKEX, the SFC, the Hong Law Society, UK Companies House and other sources, has searchable datasets on listed companies, many in machine-readable formats.",False,False,False,False,
GitDealFlow,,,Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,,0,https://gitdealflow.com,"Alternative-data signal platform ranking early-stage private companies by GitHub stars-per-day, hiring velocity, and package-registry adoption. Free weekly signal report, Chrome extension overlay on Crunchbase/AngelList, and MCP server on npm for LLM agent access.",False,False,False,False,
awesome-sec-filings,,,Related Lists,Related Lists,related-lists,2026-05-11,24,https://github.com/vibeyclaw/awesome-sec-filings,"A curated list of tools, data sources, libraries, and resources for working with SEC filings (13F, 10-K, 10-Q, 8-K).",True,False,False,False,vibeyclaw/awesome-sec-filings
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 32111 32112 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 14725 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 48872 48873 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 38627 38626 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 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
33 tia Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2017-06-05 429 https://github.com/bpsmith/tia Toolkit for integration and analysis. True False False False bpsmith/tia
34 pysabr Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2022-04-21 611 https://github.com/ynouri/pysabr SABR model Python implementation. True False False False ynouri/pysabr
35 FinancePy Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2026-05-26 2969 https://github.com/domokane/FinancePy A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives. True False False False domokane/FinancePy
36 gs-quant Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2026-05-29 10541 10542 https://github.com/goldmansachs/gs-quant Python toolkit for quantitative finance. True False False False goldmansachs/gs-quant
37 willowtree Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2018-07-14 368 https://github.com/federicomariamassari/willowtree Robust and flexible Python implementation of the willow tree lattice for derivatives pricing. True False False False federicomariamassari/willowtree
38 financial-engineering Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2017-11-20 526 https://github.com/federicomariamassari/financial-engineering Applications of Monte Carlo methods to financial engineering projects, in Python. True False False False federicomariamassari/financial-engineering
39 optlib Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2022-11-18 1495 https://github.com/dbrojas/optlib A library for financial options pricing written in Python. True False False False dbrojas/optlib
126 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
127 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
128 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
129 Vibe-Trading Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-30 9017 9020 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
130 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
131 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
132 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
161 aat Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-03-30 812 https://github.com/timkpaine/aat Async Algorithmic Trading Engine. True False False False timkpaine/aat
162 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
163 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
164 quantstats Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-01-13 7187 7188 https://github.com/ranaroussi/quantstats Portfolio analytics for quants, written in Python. True False False False ranaroussi/quantstats
165 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
166 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
167 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
168 freqtrade Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-30 50914 50916 https://github.com/freqtrade/freqtrade Free, open source crypto trading bot. True False False False freqtrade/freqtrade
169 algorithmic-trading-with-python Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2021-06-01 3398 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
170 Qlib Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-22 43725 43726 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
171 machine-learning-for-trading Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2023-03-05 17414 17415 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
172 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
173 jesse Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-26 7958 7959 https://github.com/jesse-ai/jesse An advanced crypto trading bot written in Python. True False False False jesse-ai/jesse
174 rqalpha Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-20 6428 https://github.com/ricequant/rqalpha A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities. True False False False ricequant/rqalpha
175 FinRL-Library Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-05 15279 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
176 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
183 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
184 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
185 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
186 vectorbt Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-23 7719 7720 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
187 Lean Python Python,C# Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-29 19457 19462 https://github.com/QuantConnect/Lean Lean Algorithmic Trading Engine by QuantConnect (Python, C#). True False False False QuantConnect/Lean
188 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
189 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
190 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
195 vnpy Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-17 41137 https://github.com/vnpy/vnpy VeighNa is a Python-based open source quantitative trading system development framework. True False False False vnpy/vnpy
196 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
197 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
198 nautilus_trader Python Python,Rust Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-30 23154 23155 https://github.com/nautechsystems/nautilus_trader A high-performance algorithmic trading platform and event-driven backtester. True False False False nautechsystems/nautilus_trader
199 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
200 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
201 Hikyuu Python Python,C++ Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-30 3188 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 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
221 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
222 ccxt JavaScript JavaScript,Python,PHP Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-30 42711 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
223 TradeClaw JavaScript JavaScript Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-29 26 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
224 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
225 Tai Elixir/Erlang Elixir/Erlang Trading & Backtesting Trading & Backtesting trading-backtesting 2024-12-06 496 https://github.com/fremantle-capital/tai Open Source composable, real time, market data and trade execution toolkit. True False False False fremantle-capital/tai
226 Workbench Elixir/Erlang Elixir/Erlang Trading & Backtesting Trading & Backtesting trading-backtesting 2022-06-06 121 https://github.com/fremantle-industries/workbench From Idea to Execution - Manage your trading operation across a globally distributed cluster. True False False False fremantle-industries/workbench
231 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
232 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
233 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
234 QuantConnect CSharp CSharp Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-29 19457 19462 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
235 StockSharp CSharp CSharp Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-19 10019 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
236 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
237 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
238 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
239 OpenFinClaw Python Python,Rust Trading & Backtesting Trading & Backtesting trading-backtesting error 0 https://github.com/cryptoSUN2049/openFinclaw AI-native one-person hedge fund platform with Rust trading engine. Natural language → strategy → backtest → execution in 60s. Multi-market (US/HK/CN/Crypto), self-evolving strategy pipeline. Built on OpenClaw (68K+ stars). True False False False cryptoSUN2049/openFinclaw
240 Sextant Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-05 1 https://github.com/raphaub-hub/SEXTANT Local event-driven backtesting engine with no-code strategy builder and FRED vintage, ALFRED, yFinance support. True False False False raphaub-hub/SEXTANT
241 TradeClaw Node.js Node.js,TypeScript Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-29 26 27 https://github.com/naimkatiman/tradeclaw Open-source self-hosted AI trading signal platform. Generates buy/sell signals using RSI, MACD, EMA, Bollinger Bands for forex, crypto and commodities. Deployable via Docker Compose. ([Demo](https://tradeclaw.win/dashboard)) True False False False naimkatiman/tradeclaw
242 AutoHypothesis Python Python Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-04-22 54 https://github.com/arteemg/AutoHypothesis An agentic framework that mimics the real quant trading pipeline to find alpha: economic hypothesis, in-sample iteration, and out-of-sample validation. True False False False arteemg/AutoHypothesis
243 skfolio Python Python Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-05-16 2007 https://github.com/skfolio/skfolio Python library for portfolio optimization built on top of scikit-learn. It provides a unified interface and sklearn compatible tools to build, tune and cross-validate portfolio models. True False False False skfolio/skfolio
244 PyPortfolioOpt Python Python Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-03-10 5751 https://github.com/robertmartin8/PyPortfolioOpt Financial portfolio optimization in python, including classical efficient frontier and advanced methods. True False False False robertmartin8/PyPortfolioOpt
313 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
314 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
315 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
316 OpenBB Terminal Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-05-29 68259 68260 https://github.com/OpenBB-finance/OpenBBTerminal Terminal for investment research for everyone. True False False False OpenBB-finance/OpenBBTerminal
317 Fincept Terminal Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-05-29 24605 24608 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
318 yfinance Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-05-28 23900 23901 https://github.com/ranaroussi/yfinance Yahoo! Finance market data downloader (+faster Pandas Datareader). True False False False ranaroussi/yfinance
319 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
320 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
321 financekit-mcp Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-17 4 https://github.com/vdalhambra/financekit-mcp MCP server (Model Context Protocol) exposing 17 tools for AI agents to perform quantitative analysis: real-time stock quotes, full technical analysis (RSI, MACD, Bollinger, ADX, Stochastic, ATR, OBV + pattern detection with structured verdicts), crypto prices via CoinGecko, risk metrics (VaR, Sharpe, Sortino, Beta, Max Drawdown), correlation matrix, options chains, earnings calendar, sector rotation, and portfolio analysis. Works with Claude Desktop, Cursor, Windsurf. No API keys for core tools. FastMCP 3.2. True False False False vdalhambra/financekit-mcp
325 googlefinance Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2018-09-23 823 https://github.com/hongtaocai/googlefinance Python module to get real-time stock data from Google Finance API. True False False False hongtaocai/googlefinance
326 Horus Flow Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-05-16 1 https://github.com/horustechltd/horus-flow-mcp Sub-second L2 orderflow intelligence MCP server for institutional-grade market microstructure analysis. True False False False horustechltd/horus-flow-mcp
327 yahoo-finance Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2021-12-15 1435 https://github.com/lukaszbanasiak/yahoo-finance Python module to get stock data from Yahoo! Finance. True False False False lukaszbanasiak/yahoo-finance
328 pandas-datareader Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2025-04-03 3209 3210 https://github.com/pydata/pandas-datareader Python module to get data from various sources (Google Finance, Yahoo Finance, FRED, OECD, Fama/French, World Bank, Eurostat...) into Pandas datastructures such as DataFrame, Panel with a caching mechanism. True False False False pydata/pandas-datareader
329 pandas-finance Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2025-03-07 160 https://github.com/davidastephens/pandas-finance High level API for access to and analysis of financial data. True False False False davidastephens/pandas-finance
330 pyhoofinance Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2016-10-07 9 https://github.com/innes213/pyhoofinance Rapidly queries Yahoo Finance for multiple tickers and returns typed data for analysis. True False False False innes213/pyhoofinance
331 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
368 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
369 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
370 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
371 akshare Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-05-27 19862 19863 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
372 yahooquery Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2025-05-15 909 https://github.com/dpguthrie/yahooquery Python interface for retrieving data through unofficial Yahoo Finance API. True False False False dpguthrie/yahooquery
373 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
374 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
387 pandaSDMX Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2023-02-25 133 https://github.com/dr-leo/pandaSDMX Python package that implements SDMX 2.1 (ISO 17369:2013), a format for exchange of statistical data and metadata used by national statistical agencies, central banks, and international organisations. True False False False dr-leo/pandaSDMX
388 cif Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2022-06-18 65 https://github.com/LenkaV/CIF Python package that include few composite indicators, which summarize multidimensional relationships between individual economic indicators. True False False False LenkaV/CIF
389 finagg Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-03-22 535 https://github.com/theOGognf/finagg finagg is a Python package that provides implementations of popular and free financial APIs, tools for aggregating historical data from those APIs into SQL databases, and tools for transforming aggregated data into features useful for analysis and AI/ML. True False False False theOGognf/finagg
390 FinanceDatabase Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-05-30 7675 7677 https://github.com/JerBouma/FinanceDatabase This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets. True False False False JerBouma/FinanceDatabase
391 Trading Strategy Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 0 https://github.com/tradingstrategy-ai/trading-strategy/ download price data for decentralised exchanges and lending protocols (DeFi). True False False False
392 datamule-python Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-20 543 https://github.com/john-friedman/datamule-python A package to work with SEC data. Incorporates datamule endpoints. True False False False john-friedman/datamule-python
393 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
419 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
420 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
421 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
422 pmxt Python Python,JavaScript Prediction Markets Prediction Markets prediction-markets 2026-05-26 2026-05-30 1824 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
423 polymarket-whales Python Python Prediction Markets Prediction Markets prediction-markets 2026-03-20 50 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
424 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
425 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
426 pmxt Python Python,JavaScript Prediction Markets Prediction Markets prediction-markets 2026-05-26 2026-05-30 1824 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
427 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
428 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
429 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
453 RunMat Cross-Language Frameworks Cross-Language Frameworks cross-language-frameworks 2026-05-22 215 https://runmat.org High performance, Open Source, MATLAB syntax runtime. [GitHub](https://github.com/runmat-org/runmat) True False False False runmat-org/runmat
454 QuantLibRisks Cross-Language Frameworks Cross-Language Frameworks cross-language-frameworks 2026-05-13 39 https://github.com/auto-differentiation/QuantLib-Risks-Cpp Fast risks with QuantLib in C++. True False False False auto-differentiation/QuantLib-Risks-Cpp
455 XAD Cross-Language Frameworks Cross-Language Frameworks cross-language-frameworks 2026-04-12 420 https://github.com/auto-differentiation/xad Automatic Differentation (AAD) Library. True False False False auto-differentiation/xad
456 QuantLib Cross-Language Frameworks Cross-Language Frameworks cross-language-frameworks 2026-05-29 7186 7187 https://github.com/lballabio/QuantLib The QuantLib project is aimed at providing a comprehensive software framework for quantitative finance. True False False False lballabio/QuantLib
457 JQuantLib Cross-Language Frameworks Cross-Language Frameworks cross-language-frameworks 2016-02-26 154 https://github.com/frgomes/jquantlib Java port. True False False False frgomes/jquantlib
458 RQuantLib Cross-Language Frameworks Cross-Language Frameworks cross-language-frameworks 2026-04-08 131 https://github.com/eddelbuettel/rquantlib R port. True False False False eddelbuettel/rquantlib
459 QuantLibAddin Cross-Language Frameworks Cross-Language Frameworks cross-language-frameworks 0 https://www.quantlib.org/quantlibaddin/ Excel support. False False False False
541 KeepRule Commercial & Proprietary Services Commercial & Proprietary Services commercial-proprietary-services 0 https://keeprule.com/ Curated library of decision-making principles and investment wisdom from masters like Buffett and Munger, featuring mental models for better investment thinking. False False False False
542 ML-Quant Commercial & Proprietary Services Commercial & Proprietary Services commercial-proprietary-services 0 https://www.ml-quant.com/ Top Quant resources like ArXiv (sanity), SSRN, RePec, Journals, Podcasts, Videos, and Blogs. False False False False
543 RealMarketAPI Commercial & Proprietary Services Commercial & Proprietary Services commercial-proprietary-services 0 https://realmarketapi.com/ Provides ultra-low latency market data for gold, forex, crypto, and stocks via REST, WebSocket, and MCP—built for speed, reliability, and scale. False False False False
544 The Stock Radar Commercial & Proprietary Services Commercial & Proprietary Services commercial-proprietary-services 0 https://thestockradar.com Daily multi-language stock movers, technical analysis, earnings recaps, and weekly research reports across 6 markets (US, Korea, Japan, Taiwan, India, Germany) published in 6 languages. False False False False
545 Webb Database Commercial & Proprietary Services Commercial & Proprietary Services commercial-proprietary-services 0 https://webb-database.com/ Aggregates public financial data from HKEX, the SFC, the Hong Law Society, UK Companies House and other sources, has searchable datasets on listed companies, many in machine-readable formats. False False False False
546 GitDealFlow Commercial & Proprietary Services Commercial & Proprietary Services commercial-proprietary-services 0 https://gitdealflow.com Alternative-data signal platform ranking early-stage private companies by GitHub stars-per-day, hiring velocity, and package-registry adoption. Free weekly signal report, Chrome extension overlay on Crunchbase/AngelList, and MCP server on npm for LLM agent access. False False False False
547 awesome-sec-filings Related Lists Related Lists related-lists 2026-05-11 24 https://github.com/vibeyclaw/awesome-sec-filings A curated list of tools, data sources, libraries, and resources for working with SEC filings (13F, 10-K, 10-Q, 8-K). True False False False vibeyclaw/awesome-sec-filings