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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>652</strong> projects</span>
<span class="stat"><strong>653</strong> projects</span>
<span class="stat-sep"></span>
<span class="stat"><strong>30</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="32543">
<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="32544">
<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="32,543 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> 32.5k</span></td>
<td class="col-stars"><span class="stars" title="32,544 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> 32.5k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-14">2026-08-14</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>
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<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="49502">
<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="49501">
<td class="col-num">3</td>
<td class="col-name">
<a href="https://pandas.pydata.org" target="_blank" rel="noopener">pandas</a>
<span class="mobile-category">Numerical Libraries &amp; Data Structures</span>
</td>
<td class="col-stars"><span class="stars" title="49,502 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 49.5k</span></td>
<td class="col-stars"><span class="stars" title="49,501 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 49.5k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-16">2026-08-16</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="39364">
<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="39365">
<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="39,364 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> 39.4k</span></td>
<td class="col-stars"><span class="stars" title="39,365 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> 39.4k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-14">2026-08-14</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -712,13 +712,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python MCP" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="48">
<tr class="row" data-languages="Python MCP" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="49">
<td class="col-num">25</td>
<td class="col-name">
<a href="https://github.com/morluto/jacobian" target="_blank" rel="noopener">jacobian</a>
<span class="mobile-category">Numerical Libraries &amp; Data Structures</span>
</td>
<td class="col-stars"><span class="stars" title="48 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</span></td>
<td class="col-stars"><span class="stars" title="49 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 49</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-16">2026-08-16</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -1077,13 +1077,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Financial Instruments &amp; Pricing" data-sources="github" data-stars="12015">
<tr class="row" data-languages="Python" data-category="Financial Instruments &amp; Pricing" data-sources="github" data-stars="12017">
<td class="col-num">39</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="12,015 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> 12k</span></td>
<td class="col-stars"><span class="stars" title="12,017 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> 12k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-06">2026-08-06</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -1181,13 +1181,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Financial Instruments &amp; Pricing" data-sources="github" data-stars="5473">
<tr class="row" data-languages="Python" data-category="Financial Instruments &amp; Pricing" data-sources="github" data-stars="5474">
<td class="col-num">43</td>
<td class="col-name">
<a href="https://github.com/google/tf-quant-finance" target="_blank" rel="noopener">tf-quant-finance</a>
<span class="mobile-category">Financial Instruments &amp; Pricing</span>
</td>
<td class="col-stars"><span class="stars" title="5,473 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 5.5k</span></td>
<td class="col-stars"><span class="stars" title="5,474 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 5.5k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-06">2026-08-06</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -3660,7 +3660,7 @@
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="28 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> 28</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-07-23">2026-07-23</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-16">2026-08-16</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Rust">rust</button>
@@ -4097,13 +4097,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="30985">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="30995">
<td class="col-num">155</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="30,985 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> 31k</span></td>
<td class="col-stars"><span class="stars" title="30,995 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> 31k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-15">2026-08-15</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4201,13 +4201,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="1692">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="1693">
<td class="col-num">159</td>
<td class="col-name">
<a href="https://github.com/coding-kitties/investing-algorithm-framework" target="_blank" rel="noopener">Investing algorithm framework</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="1,692 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 1.7k</span></td>
<td class="col-stars"><span class="stars" title="1,693 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 1.7k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-13">2026-08-13</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4227,13 +4227,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="1934">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="1935">
<td class="col-num">160</td>
<td class="col-name">
<a href="https://github.com/Lumiwealth/lumibot" target="_blank" rel="noopener">Lumibot</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="1,934 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 1.9k</span></td>
<td class="col-stars"><span class="stars" title="1,935 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 1.9k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-05">2026-08-05</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4305,13 +4305,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="20040">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="20041">
<td class="col-num">163</td>
<td class="col-name">
<a href="https://github.com/quantopian/zipline" target="_blank" rel="noopener">zipline</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="20,040 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> 20k</span></td>
<td class="col-stars"><span class="stars" title="20,041 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> 20k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2020-10-14">2020-10-14</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4331,13 +4331,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="1921">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="1922">
<td class="col-num">164</td>
<td class="col-name">
<a href="https://github.com/stefan-jansen/zipline-reloaded" target="_blank" rel="noopener">zipline-reloaded</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="1,921 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 1.9k</span></td>
<td class="col-stars"><span class="stars" title="1,922 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 1.9k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2025-11-13">2025-11-13</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -4461,13 +4461,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="22857">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="22859">
<td class="col-num">169</td>
<td class="col-name">
<a href="https://github.com/backtrader/backtrader" target="_blank" rel="noopener">backtrader</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="22,857 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 22.9k</span></td>
<td class="col-stars"><span class="stars" title="22,859 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 22.9k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2023-04-19">2023-04-19</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5240,14 +5240,14 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="53329">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="53333">
<td class="col-num">199</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="53,329 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> 53.3k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-15">2026-08-15</span></td>
<td class="col-stars"><span class="stars" title="53,333 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> 53.3k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-16">2026-08-16</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
<button class="tag tag-section" data-filter-type="category" data-filter-value="Trading &amp; Backtesting">trading-backtesting</button>
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</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="47484">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="47500">
<td class="col-num">201</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="47,484 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> 47.5k</span></td>
<td class="col-stars"><span class="stars" title="47,500 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> 47.5k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-07-23">2026-07-23</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
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</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="20470">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="20472">
<td class="col-num">203</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="20,470 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 20.5k</span></td>
<td class="col-stars"><span class="stars" title="20,472 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 20.5k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-15">2026-08-15</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5422,13 +5422,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="6695">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="6696">
<td class="col-num">206</td>
<td class="col-name">
<a href="https://github.com/ricequant/rqalpha" target="_blank" rel="noopener">rqalpha</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="6,695 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 6.7k</span></td>
<td class="col-stars"><span class="stars" title="6,696 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 6.7k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-07-23">2026-07-23</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5448,13 +5448,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="16020">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="16022">
<td class="col-num">207</td>
<td class="col-name">
<a href="https://github.com/AI4Finance-LLC/FinRL-Library" target="_blank" rel="noopener">FinRL-Library</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="16,020 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> 16k</span></td>
<td class="col-stars"><span class="stars" title="16,022 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 16k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-07-12">2026-07-12</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5708,13 +5708,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="8695">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="8696">
<td class="col-num">217</td>
<td class="col-name">
<a href="https://github.com/polakowo/vectorbt" target="_blank" rel="noopener">vectorbt</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="8,695 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 8.7k</span></td>
<td class="col-stars"><span class="stars" title="8,696 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 8.7k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-02">2026-08-02</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5734,13 +5734,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python C#" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="21236">
<tr class="row" data-languages="Python C#" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="21237">
<td class="col-num">218</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="21,236 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 21.2k</span></td>
<td class="col-stars"><span class="stars" title="21,237 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 21.2k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-14">2026-08-14</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -5943,13 +5943,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="44513">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="44523">
<td class="col-num">226</td>
<td class="col-name">
<a href="https://github.com/vnpy/vnpy" target="_blank" rel="noopener">vnpy</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="44,513 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> 44.5k</span></td>
<td class="col-stars"><span class="stars" title="44,523 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> 44.5k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-06">2026-08-06</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -6021,13 +6021,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python Rust" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="25563">
<tr class="row" data-languages="Python Rust" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="25571">
<td class="col-num">229</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="25,563 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> 25.6k</span></td>
<td class="col-stars"><span class="stars" title="25,571 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> 25.6k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-16">2026-08-16</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -6543,13 +6543,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Matlab" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="11005">
<tr class="row" data-languages="Matlab" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="11007">
<td class="col-num">249</td>
<td class="col-name">
<a href="https://github.com/yutiansut/quantaxis" target="_blank" rel="noopener">QUANTAXIS</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="11,005 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 11k</span></td>
<td class="col-stars"><span class="stars" title="11,007 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 11k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-02-28">2026-02-28</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Matlab">matlab</button>
@@ -6673,13 +6673,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="JavaScript Python PHP" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="43638">
<tr class="row" data-languages="JavaScript Python PHP" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="43640">
<td class="col-num">254</td>
<td class="col-name">
<a href="https://github.com/ccxt/ccxt" target="_blank" rel="noopener">ccxt</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="43,638 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 43.6k</span></td>
<td class="col-stars"><span class="stars" title="43,640 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> 43.6k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-16">2026-08-16</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="JavaScript">javascript</button>
@@ -7014,13 +7014,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="21236">
<tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="21237">
<td class="col-num">267</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="21,236 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 21.2k</span></td>
<td class="col-stars"><span class="stars" title="21,237 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 21.2k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-14">2026-08-14</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="CSharp">csharp</button>
@@ -7355,13 +7355,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Portfolio Optimization &amp; Risk Analysis" data-sources="github" data-stars="2140">
<tr class="row" data-languages="Python" data-category="Portfolio Optimization &amp; Risk Analysis" data-sources="github" data-stars="2144">
<td class="col-num">280</td>
<td class="col-name">
<a href="https://github.com/skfolio/skfolio" target="_blank" rel="noopener">skfolio</a>
<span class="mobile-category">Portfolio Optimization &amp; Risk Analysis</span>
</td>
<td class="col-stars"><span class="stars" title="2,140 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 2.1k</span></td>
<td class="col-stars"><span class="stars" title="2,144 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 2.1k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-13">2026-08-13</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -8368,13 +8368,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="JavaScript" data-category="Portfolio Optimization &amp; Risk Analysis" data-sources="github" data-stars="9133">
<tr class="row" data-languages="JavaScript" data-category="Portfolio Optimization &amp; Risk Analysis" data-sources="github" data-stars="9134">
<td class="col-num">319</td>
<td class="col-name">
<a href="https://github.com/ghostfolio/ghostfolio" target="_blank" rel="noopener">Ghostfolio</a>
<span class="mobile-category">Portfolio Optimization &amp; Risk Analysis</span>
</td>
<td class="col-stars"><span class="stars" title="9,133 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 9.1k</span></td>
<td class="col-stars"><span class="stars" title="9,134 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 9.1k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-16">2026-08-16</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="JavaScript">javascript</button>
@@ -8524,13 +8524,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Factor Analysis" data-sources="github" data-stars="71">
<tr class="row" data-languages="Python" data-category="Factor Analysis" data-sources="github" data-stars="72">
<td class="col-num">325</td>
<td class="col-name">
<a href="https://github.com/initial-d/ml-quant-trading" target="_blank" rel="noopener">ml-quant-trading</a>
<span class="mobile-category">Factor Analysis</span>
</td>
<td class="col-stars"><span class="stars" title="71 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> 71</span></td>
<td class="col-stars"><span class="stars" title="72 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> 72</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-15">2026-08-15</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -8861,13 +8861,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Time Series Analysis" data-sources="github" data-stars="11576">
<tr class="row" data-languages="Python" data-category="Time Series Analysis" data-sources="github" data-stars="11577">
<td class="col-num">338</td>
<td class="col-name">
<a href="http://statsmodels.sourceforge.net" target="_blank" rel="noopener">statsmodels</a>
<span class="mobile-category">Time Series Analysis</span>
</td>
<td class="col-stars"><span class="stars" title="11,576 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 11.6k</span></td>
<td class="col-stars"><span class="stars" title="11,577 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 11.6k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-15">2026-08-15</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -9590,13 +9590,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="71921">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="71923">
<td class="col-num">366</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="71,921 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> 71.9k</span></td>
<td class="col-stars"><span class="stars" title="71,923 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> 71.9k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-07-20">2026-07-20</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -9616,13 +9616,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="30293">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="30297">
<td class="col-num">367</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="30,293 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> 30.3k</span></td>
<td class="col-stars"><span class="stars" title="30,297 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> 30.3k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-11">2026-08-11</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -9642,13 +9642,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="24994">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="24995">
<td class="col-num">368</td>
<td class="col-name">
<a href="https://github.com/ranaroussi/yfinance" target="_blank" rel="noopener">yfinance</a>
<span class="mobile-category">Market Data &amp; Data Sources</span>
</td>
<td class="col-stars"><span class="stars" title="24,994 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> 25k</span></td>
<td class="col-stars"><span class="stars" title="24,995 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> 25k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-13">2026-08-13</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -10238,13 +10238,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="553">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="554">
<td class="col-num">391</td>
<td class="col-name">
<a href="https://github.com/jugaad-py/jugaad-data" target="_blank" rel="noopener">jugaad-data</a>
<span class="mobile-category">Market Data &amp; Data Sources</span>
</td>
<td class="col-stars"><span class="stars" title="553 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> 553</span></td>
<td class="col-stars"><span class="stars" title="554 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 554</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-07">2026-08-07</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -11226,13 +11226,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="22059">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="22061">
<td class="col-num">429</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="22,059 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 22.1k</span></td>
<td class="col-stars"><span class="stars" title="22,061 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 22.1k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-13">2026-08-13</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -11408,13 +11408,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="4895">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="4894">
<td class="col-num">436</td>
<td class="col-name">
<a href="https://github.com/RomelTorres/alpha_vantage" target="_blank" rel="noopener">alpha_vantage</a>
<span class="mobile-category">Market Data &amp; Data Sources</span>
</td>
<td class="col-stars"><span class="stars" title="4,895 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 4.9k</span></td>
<td class="col-stars"><span class="stars" title="4,894 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 4.9k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-07-26">2026-07-26</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -11460,13 +11460,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="1532">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="1531">
<td class="col-num">438</td>
<td class="col-name">
<a href="https://github.com/FinanceData/FinanceDataReader" target="_blank" rel="noopener">FinanceDataReader</a>
<span class="mobile-category">Market Data &amp; Data Sources</span>
</td>
<td class="col-stars"><span class="stars" title="1,532 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> 1.5k</span></td>
<td class="col-stars"><span class="stars" title="1,531 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> 1.5k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-13">2026-05-13</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -11797,14 +11797,14 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="8342">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="8343">
<td class="col-num">451</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="8,342 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 8.3k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-09">2026-08-09</span></td>
<td class="col-stars"><span class="stars" title="8,343 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 8.3k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-16">2026-08-16</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
<button class="tag tag-section" data-filter-type="category" data-filter-value="Market Data &amp; Data Sources">market-data-data-sources</button>
@@ -13284,13 +13284,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Visualization" data-sources="github" data-stars="5214">
<tr class="row" data-languages="Python" data-category="Visualization" data-sources="github" data-stars="5213">
<td class="col-num">508</td>
<td class="col-name">
<a href="https://github.com/man-group/dtale" target="_blank" rel="noopener">D-Tale</a>
<span class="mobile-category">Visualization</span>
</td>
<td class="col-stars"><span class="stars" title="5,214 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 5.2k</span></td>
<td class="col-stars"><span class="stars" title="5,213 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 5.2k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-11">2026-05-11</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -13310,13 +13310,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Visualization" data-sources="github" data-stars="4422">
<tr class="row" data-languages="Python" data-category="Visualization" data-sources="github" data-stars="4423">
<td class="col-num">509</td>
<td class="col-name">
<a href="https://github.com/matplotlib/mplfinance" target="_blank" rel="noopener">mplfinance</a>
<span class="mobile-category">Visualization</span>
</td>
<td class="col-stars"><span class="stars" title="4,422 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 4.4k</span></td>
<td class="col-stars"><span class="stars" title="4,423 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 4.4k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2024-04-02">2024-04-02</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -13362,13 +13362,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Visualization" data-sources="github" data-stars="1552">
<tr class="row" data-languages="Python" data-category="Visualization" data-sources="github" data-stars="1558">
<td class="col-num">511</td>
<td class="col-name">
<a href="https://github.com/lit26/finvizfinance" target="_blank" rel="noopener">finvizfinance</a>
<span class="mobile-category">Visualization</span>
</td>
<td class="col-stars"><span class="stars" title="1,552 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 1.6k</span></td>
<td class="col-stars"><span class="stars" title="1,558 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 1.6k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-01-03">2026-01-03</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -13901,13 +13901,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="" data-category="Cross-Language Frameworks" data-sources="github" data-stars="7515">
<tr class="row" data-languages="" data-category="Cross-Language Frameworks" data-sources="github" data-stars="7516">
<td class="col-num">532</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="7,515 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> 7.5k</span></td>
<td class="col-stars"><span class="stars" title="7,516 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> 7.5k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-14">2026-08-14</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>
@@ -16890,8 +16890,36 @@
</div>
</td>
</tr>
<tr class="row" data-languages="" data-category="Related Lists" data-sources="github" data-stars="38">
<tr class="row" data-languages="REST MCP" data-category="Commercial &amp; Proprietary Services" data-sources="github commercial" data-stars="0">
<td class="col-num">651</td>
<td class="col-name">
<a href="https://wealthville.net" target="_blank" rel="noopener">Wealthville</a>
<span class="mobile-category">Commercial &amp; Proprietary Services</span>
</td>
<td class="col-stars"></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-07-28">2026-07-28</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="REST">rest</button>
<button class="tag tag-lang" data-filter-type="language" data-filter-value="MCP">mcp</button>
<button class="tag tag-section" data-filter-type="category" data-filter-value="Commercial &amp; Proprietary Services">commercial-proprietary-services</button>
<button class="tag tag-source tag-github" data-filter-type="source" data-filter-value="github">github</button>
<button class="tag tag-source tag-commercial" data-filter-type="source" data-filter-value="commercial">commercial</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">Liquidity-pool scoring for DeFi market making: a 0-100 score and an Enter/Hold/Exit/Reduce/Avoid verdict, with confidence calibrated per protocol, across ~68,800 Solana pools (Meteora DLMM, Orca Whirlpool, Raydium AMM/CLMM/CPMM) and 575 EVM pools on Ethereum, Arbitrum, Base, Optimism, Polygon and BSC. Outcomes are graded after impermanent loss and published as a miss-inclusive 30-day track record. Free keyless API, OpenAPI spec, and a hosted MCP server.</p>
<div class="expand-links">
<a href="https://wealthville.net" target="_blank" rel="noopener">https://wealthville.net</a>
<a href="https://github.com/amitesh-m/wealthville-integrations" target="_blank" rel="noopener">https://github.com/amitesh-m/wealthville-integrations</a>
</div>
</div>
</td>
</tr>
<tr class="row" data-languages="" data-category="Related Lists" data-sources="github" data-stars="38">
<td class="col-num">652</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>
@@ -16916,7 +16944,7 @@
</td>
</tr>
<tr class="row" data-languages="" data-category="Related Lists" data-sources="github" data-stars="0">
<td class="col-num">652</td>
<td class="col-num">653</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
+42 -41
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@@ -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,2026-08-14,32543,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,2026-08-14,32544,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,2026-08-16,14927,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,2026-08-16,49502,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,2026-08-14,39364,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,2026-08-16,49501,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,2026-08-14,39365,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,2017-10-26,382,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,2026-08-15,14873,https://www.sympy.org/,SymPy is a Python library for symbolic mathematics. [GitHub](https://github.com/sympy/sympy),True,False,False,False,sympy/sympy
@@ -23,7 +23,7 @@ Temporal.jl,Julia,Julia,Numerical Libraries & Data Structures,Numerical Librarie
DataFrames.jl,Julia,Julia,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-08-12,1831,https://github.com/JuliaData/DataFrames.jl,In-memory tabular data in Julia.,True,False,False,False,JuliaData/DataFrames.jl
TSFrames.jl,Julia,Julia,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2024-06-18,100,https://github.com/xKDR/TSFrames.jl,Handle timeseries data on top of the powerful and mature DataFrames.jl.,True,False,False,False,xKDR/TSFrames.jl
TimeArrays.jl,Julia,Julia,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-07-03,40,https://github.com/bhftbootcamp/TimeArrays.jl,Time series handling for Julia.,True,False,False,False,bhftbootcamp/TimeArrays.jl
jacobian,Python,"Python,MCP",Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-08-16,48,https://github.com/morluto/jacobian,"Exact computation and conjecture testing across polynomial maps, linear algebra, and graph algorithms for agent-driven mathematical research.",True,False,False,False,morluto/jacobian
jacobian,Python,"Python,MCP",Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-08-16,49,https://github.com/morluto/jacobian,"Exact computation and conjecture testing across polynomial maps, linear algebra, and graph algorithms for agent-driven mathematical research.",True,False,False,False,morluto/jacobian
PyQL,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2026-07-16,1335,https://github.com/enthought/pyql,QuantLib's Python port.,True,False,False,False,enthought/pyql
pyfin,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2014-12-03,318,https://github.com/opendoor-labs/pyfin,Basic options pricing in Python. *ARCHIVED*.,True,False,False,False,opendoor-labs/pyfin
vollib,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2023-04-01,1015,https://github.com/vollib/vollib,"vollib is a python library for calculating option prices, implied volatility and greeks.",True,False,False,False,vollib/vollib
@@ -37,11 +37,11 @@ pynance,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pr
tia,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2017-06-05,428,https://github.com/bpsmith/tia,Toolkit for integration and analysis.,True,False,False,False,bpsmith/tia
pysabr,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2022-04-21,623,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,2026-08-10,3107,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,2026-08-06,12015,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,2026-08-06,12017,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,2018-07-14,381,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,2017-11-20,543,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,2022-11-18,1629,https://github.com/dbrojas/optlib,A library for financial options pricing written in Python.,True,False,False,False,dbrojas/optlib
tf-quant-finance,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2026-08-06,5473,https://github.com/google/tf-quant-finance,High-performance TensorFlow library for quantitative finance.,True,False,False,False,google/tf-quant-finance
tf-quant-finance,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2026-08-06,5474,https://github.com/google/tf-quant-finance,High-performance TensorFlow library for quantitative finance.,True,False,False,False,google/tf-quant-finance
Q-Fin,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2023-04-07,651,https://github.com/RomanMichaelPaolucci/Q-Fin,A Python library for mathematical finance.,True,False,False,False,RomanMichaelPaolucci/Q-Fin
Quantsbin,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2021-05-23,649,https://github.com/quantsbin/Quantsbin,"Tools for pricing and plotting of vanilla option prices, greeks and various other analysis around them.",True,False,False,False,quantsbin/Quantsbin
finoptions,Python,Python,Financial Instruments & Pricing,Financial Instruments & Pricing,financial-instruments-pricing,2024-02-01,300,https://github.com/bbcho/finoptions-dev,Complete python implementation of R package fOptions with partial implementation of fExoticOptions for pricing various options.,True,False,False,False,bbcho/finoptions-dev
@@ -136,7 +136,7 @@ SlidingFeatures,Rust,Rust,Technical Indicators,Technical Indicators,technical-in
fin-primitives,Rust,Rust,Technical Indicators,Technical Indicators,technical-indicators,2026-03-23,15,https://github.com/Mattbusel/fin-primitives,"Financial market primitives in Rust: Price/Quantity/Symbol newtypes, BTreeMap order book, OHLCV aggregation, SMA/EMA/RSI indicators, position ledger with PnL, and composable risk monitor.",True,False,False,False,Mattbusel/fin-primitives
Wickra,Rust,"Rust,Python,JavaScript,C++,C#,Golang,Java,R",Technical Indicators,Technical Indicators,technical-indicators,2026-08-04,43,https://github.com/wickra-lib/wickra,"Streaming-first technical-analysis library with a Rust core: 514 indicators updating in O(1) per tick, with bit-exact batch-vs-streaming results.",True,False,False,False,wickra-lib/wickra
midas-core,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-14,0,https://github.com/w2ur/midas-core,Multi-agent paper-trading framework where LLM agents author orders and a separate broker process enforces fifteen fill-time safety rails; each fill is stamped with the git commit it executed against for reproducibility.,True,False,False,False,w2ur/midas-core
Manifold-BT,Python,"Python,Rust",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-23,28,https://github.com/manifoldbt/manifoldbt,"High-performance Rust-powered backtesting engine for quantitative research with parameter sweeps, walk-forward and Monte Carlo.",True,False,False,False,manifoldbt/manifoldbt
Manifold-BT,Python,"Python,Rust",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-16,28,https://github.com/manifoldbt/manifoldbt,"High-performance Rust-powered backtesting engine for quantitative research with parameter sweeps, walk-forward and Monte Carlo.",True,False,False,False,manifoldbt/manifoldbt
mkt-alerts,TypeScript,TypeScript,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-23,0,https://github.com/dzianisv/mkt-alerts,"Self-hosted market-alert daemon: price, RSI/MACD/SMA conditions, and full Pine Script v5 custom indicators evaluated off-TradingView, on crypto (Coinbase) and stocks (Yahoo Finance) with no API key, delivered via ntfy push, email, or Telegram.",True,False,False,False,dzianisv/mkt-alerts
pyhood,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-13,18,https://github.com/jamestford/pyhood,"Robinhood API client for unattended automation: after the first approved login, sessions renew from a stored refresh token with no password or device approval prompt. Covers stocks, equity and index options with Greeks, futures, IRA accounts, and the official Crypto Trading API.",True,False,False,False,jamestford/pyhood
honest-signals,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-18,1,https://github.com/MarvinRey7879/honest-signals,"Scores detected chart patterns against the pattern-free baseline for the same market, timeframe and horizon, reporting lift with cluster-robust confidence intervals instead of a hit rate against 50%.",True,False,False,False,MarvinRey7879/honest-signals
@@ -153,21 +153,21 @@ mx-trader-bridge,Python,Python,Trading & Backtesting,Trading & Backtesting,tradi
AI Quant Agents,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-24,15,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,2026-07-15,164,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,2026-07-12,62,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,2026-08-15,30985,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,2026-08-15,30995,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,2026-05-12,41,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,2026-08-13,389,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
autonomous-audit,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-03,0,https://pypi.org/project/autonomous-audit/,"Tamper-evident SHA-256 hash-chain audit log and human-readable report for AI trading-agent decisions; read-only, offline, and dependency-free (Python standard library only). [GitHub](https://github.com/Autonomous-Asset-Management-Agents/autonomous_/tree/main/packages/autonomous-audit)",False,False,True,False,
Investing algorithm framework,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-13,1692,https://github.com/coding-kitties/investing-algorithm-framework,"Framework for developing, backtesting, and deploying automated trading algorithms.",True,False,False,False,coding-kitties/investing-algorithm-framework
Lumibot,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-05,1934,https://github.com/Lumiwealth/lumibot,"Algorithmic trading framework where the same code runs for backtesting and live trading across stocks, options, crypto, futures, and forex with multiple brokers including Alpaca, Interactive Brokers, Tradier, and Schwab.",True,False,False,False,Lumiwealth/lumibot
Investing algorithm framework,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-13,1693,https://github.com/coding-kitties/investing-algorithm-framework,"Framework for developing, backtesting, and deploying automated trading algorithms.",True,False,False,False,coding-kitties/investing-algorithm-framework
Lumibot,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-05,1935,https://github.com/Lumiwealth/lumibot,"Algorithmic trading framework where the same code runs for backtesting and live trading across stocks, options, crypto, futures, and forex with multiple brokers including Alpaca, Interactive Brokers, Tradier, and Schwab.",True,False,False,False,Lumiwealth/lumibot
QSTrader,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-06-24,3440,https://github.com/mhallsmoore/qstrader,QSTrader backtesting simulation engine.,True,False,False,False,mhallsmoore/qstrader
Blankly,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-12-30,2464,https://github.com/Blankly-Finance/Blankly,"Fully integrated backtesting, paper trading, and live deployment.",True,False,False,False,Blankly-Finance/Blankly
zipline,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2020-10-14,20040,https://github.com/quantopian/zipline,Pythonic algorithmic trading library.,True,False,False,False,quantopian/zipline
zipline-reloaded,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-11-13,1921,https://github.com/stefan-jansen/zipline-reloaded,"Zipline, a Pythonic Algorithmic Trading Library.",True,False,False,False,stefan-jansen/zipline-reloaded
zipline,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2020-10-14,20041,https://github.com/quantopian/zipline,Pythonic algorithmic trading library.,True,False,False,False,quantopian/zipline
zipline-reloaded,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-11-13,1922,https://github.com/stefan-jansen/zipline-reloaded,"Zipline, a Pythonic Algorithmic Trading Library.",True,False,False,False,stefan-jansen/zipline-reloaded
QuantSoftware Toolkit,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2016-10-07,480,https://github.com/QuantSoftware/QuantSoftwareToolkit,Python-based open source software framework designed to support portfolio construction and management.,True,False,False,False,QuantSoftware/QuantSoftwareToolkit
quantitative,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2019-03-03,67,https://github.com/jeffrey-liang/quantitative,"Quantitative finance, and backtesting library.",True,False,False,False,jeffrey-liang/quantitative
analyzer,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2015-12-22,216,https://github.com/llazzaro/analyzer,Python framework for real-time financial and backtesting trading strategies.,True,False,False,False,llazzaro/analyzer
bt,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-07,2962,https://github.com/pmorissette/bt,Flexible Backtesting for Python.,True,False,False,False,pmorissette/bt
backtrader,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-04-19,22857,https://github.com/backtrader/backtrader,Python Backtesting library for trading strategies.,True,False,False,False,backtrader/backtrader
backtrader,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-04-19,22859,https://github.com/backtrader/backtrader,Python Backtesting library for trading strategies.,True,False,False,False,backtrader/backtrader
backtrader (cloudQuant fork),Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-16,154,https://github.com/cloudQuant/backtrader,"Actively maintained, high-performance backtesting and live trading framework with AI-assisted strategy tooling (MCP server, skills, agent, web platform). [backtrader](https://github.com/backtrader/backtrader) fork.",True,False,False,False,cloudQuant/backtrader
TrendFollowingSystems,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-10,19,https://github.com/ArturSepp/TrendFollowingSystems,"Closed-form expected returns, Sharpe ratios, and skewness of trend-following systems, with complete implementations and multi-decade futures backtests.",True,False,False,False,ArturSepp/TrendFollowingSystems
backtest-bias,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-13,10,https://github.com/Finance-broski/backtest-bias,"Checks whether backtest price data is survivor-only: dead-name detection, measured bias benchmarks, CI integrity gates.",True,False,False,False,Finance-broski/backtest-bias
@@ -197,15 +197,15 @@ quantstats,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-bac
jquantstats,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-15,42,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,2021-03-24,2268,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,2019-03-12,773,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,2026-08-15,53329,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,2026-08-16,53333,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,2021-06-01,3419,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,2026-07-23,47484,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
Qlib,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-23,47500,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
finlab,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-27,0,https://pypi.org/project/finlab/,"Python package for Taiwan stock market data, factor research, and vectorized backtesting with pandas-style strategy definitions.",False,False,True,False,
machine-learning-for-trading,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-15,20470,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
machine-learning-for-trading,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-15,20472,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,2025-08-24,1745,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,2026-08-12,8327,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,2026-07-23,6695,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,2026-07-12,16020,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
rqalpha,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-23,6696,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,2026-07-12,16022,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,2026-07-19,39,https://github.com/yupoet/aurumq-rl,"Reinforcement learning stock-selection framework for the China A-share market with multi-source factor input (alpha101 + main-force flow + hot-money seats + northbound + institutional + fundamentals), board-aware price limits, and ONNX CPU inference.",True,False,False,False,yupoet/aurumq-rl
bulbea,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2017-03-19,2321,https://github.com/achillesrasquinha/bulbea,Deep Learning based Python Library for Stock Market Prediction and Modelling.,True,False,False,False,achillesrasquinha/bulbea
ib_nope,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2021-04-22,33,https://github.com/ajhpark/ib_nope,Automated trading system for NOPE strategy over IBKR TWS.,True,False,False,False,ajhpark/ib_nope
@@ -215,8 +215,8 @@ AutoTrader,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-bac
fast-trade,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-28,581,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,2026-08-05,953,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,2024-06-16,1321,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,2026-08-02,8695,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,2026-08-14,21236,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,2026-08-02,8696,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,2026-08-14,21237,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,2026-07-18,3438,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,2026-05-30,168,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,2026-08-14,202,https://github.com/DrAshBooth/PyLOB,Fully functioning fast Limit Order Book written in Python.,True,False,False,False,DrAshBooth/PyLOB
@@ -224,10 +224,10 @@ PyBroker,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backt
OctoBot Script,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-30,46,https://github.com/Drakkar-Software/OctoBot-Script,A quant framework to create cryptocurrencies strategies - from backtesting to optimization to livetrading.,True,False,False,False,Drakkar-Software/OctoBot-Script
hftbacktest,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-12-23,4365,https://github.com/nkaz001/hftbacktest,"A high-frequency trading and market-making backtesting tool accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.",True,False,False,False,nkaz001/hftbacktest
flashalpha-fill-simulator,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-16,3,https://github.com/FlashAlpha-lab/flashalpha-fill-simulator,"Realistic limit-order fill simulator for options credit/debit spreads with post-and-wait limits, stale-quote guards, deterministic same-bar tiebreaks, and a patient-then-cross exit; engine-agnostic and zero runtime dependencies.",True,False,False,False,FlashAlpha-lab/flashalpha-fill-simulator
vnpy,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-06,44513,https://github.com/vnpy/vnpy,VeighNa is a Python-based open source quantitative trading system development framework.,True,False,False,False,vnpy/vnpy
vnpy,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-06,44523,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,2026-08-11,1848,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,2023-09-15,1754,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,2026-08-16,25563,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,2026-08-16,25571,https://github.com/nautechsystems/nautilus_trader,A high-performance algorithmic trading platform and event-driven backtester.,True,False,False,False,nautechsystems/nautilus_trader
NoEdge-Bench,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-07,0,https://github.com/nexusfinancial-dev/noedge-bench,"Reproducible negative-result benchmark: no model beats a memoryless synthetic binary-options feed (AUC ≈ 0.50), with permutation-null tests and a look-ahead-leak case study.",True,False,False,False,nexusfinancial-dev/noedge-bench
YABTE,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-05-11,7,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,2026-08-12,243,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
@@ -247,12 +247,12 @@ pa,R,R,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-08-2
QuantTools,R,R,Trading & Backtesting,Trading & Backtesting,trading-backtesting,,0,https://quanttools.bitbucket.io/_site/index.html,Enhanced Quantitative Trading Modelling.,False,False,False,False,
blotter,R,R,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-12-13,116,https://github.com/braverock/blotter,"Transaction infrastructure for defining instruments, transactions, portfolios and accounts for trading systems and simulation. Provides portfolio support for multi-asset class and multi-currency portfolios. Actively maintained and developed.",True,False,False,False,braverock/blotter
quantstrat,R,R,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-09-14,310,https://github.com/braverock/quantstrat,Transaction-oriented infrastructure for constructing trading systems and simulation. Provides support for multi-asset class and multi-currency portfolios for backtesting and other financial research.,True,False,False,False,braverock/quantstrat
QUANTAXIS,Matlab,Matlab,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-02-28,11005,https://github.com/yutiansut/quantaxis,Integrated Quantitative Toolbox with Matlab.,True,False,False,False,yutiansut/quantaxis
QUANTAXIS,Matlab,Matlab,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-02-28,11007,https://github.com/yutiansut/quantaxis,Integrated Quantitative Toolbox with Matlab.,True,False,False,False,yutiansut/quantaxis
PROJ_Option_Pricing_Matlab,Matlab,Matlab,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-11-19,209,https://github.com/jkirkby3/PROJ_Option_Pricing_Matlab,"Quant Option Pricing - Exotic/Vanilla: Barrier, Asian, European, American, Parisian, Lookback, Cliquet, Variance Swap, Swing, Forward Starting, Step, Fader.",True,False,False,False,jkirkby3/PROJ_Option_Pricing_Matlab
Fastback.jl,Julia,Julia,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-05,21,https://github.com/rbeeli/Fastback.jl,Blazing fast Julia backtester.,True,False,False,False,rbeeli/Fastback.jl
Lucky.jl,Julia,Julia,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-25,29,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,2026-08-16,43638,https://github.com/ccxt/ccxt,A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges.,True,False,False,False,ccxt/ccxt
ccxt,JavaScript,"JavaScript,Python,PHP",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-16,43640,https://github.com/ccxt/ccxt,A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges.,True,False,False,False,ccxt/ccxt
binance-fix-connector-python,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-26,1,https://github.com/AlexanderMerkel/binance-fix-connector-python,"Async Python connector for Binance Spot FIX sessions with Order Entry, Market Data, and Drop Copy support.",True,False,False,False,AlexanderMerkel/binance-fix-connector-python
Jiji,Ruby,Ruby,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2019-01-22,249,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,2024-12-06,498,https://github.com/fremantle-capital/tai,"Open Source composable, real time, market data and trade execution toolkit.",True,False,False,False,fremantle-capital/tai
@@ -265,7 +265,7 @@ OrderMatchingEngine,CPP,CPP,Trading & Backtesting,Trading & Backtesting,trading-
PandoraTrader,CPP,CPP,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-07-29,1453,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,2026-07-21,98,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
TolmachЁv Netcode SDK,CPP,CPP,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-09,11,https://github.com/billionerleha-111/Tolmachev-Netcode-SDK,"Enterprise-grade deterministic state synchronization engine for MFT gateways and statistical arbitrage. Eliminates microsecond deltas locking order books via topological mathematics. Throughput >41.5M TPS, physical RTT 24.175 ns, atomic validation (0 CPU load). [Website](https://tuhct-sdk.store)",True,False,False,False,billionerleha-111/Tolmachev-Netcode-SDK
QuantConnect,CSharp,CSharp,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-14,21236,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,2026-08-14,21237,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,2026-08-15,10572,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,2026-05-09,2229,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
@@ -278,7 +278,7 @@ TraderHarness,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-
VerumTrade,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,11,https://github.com/muye1202/VerumTrade,A reasoning & decision-trace visible Multi-agent LLM trading-research framework where bull/bear analysts debate each ticker and every decision cites the evidence it rests on.,True,False,False,False,muye1202/VerumTrade
Multi-Axis Robust Portfolio Optimization,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-07-31,2,https://github.com/Viraj-Nigwekar/multi-axis-robust-portfolio-optimization,"Portfolio optimization framework combining covariance shrinkage, bootstrap aggregation, and parametric scenario modeling, with reproducible notebooks and an accompanying SSRN paper.",True,False,False,False,Viraj-Nigwekar/multi-axis-robust-portfolio-optimization
AutoHypothesis,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-04-22,70,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,2026-08-13,2140,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
skfolio,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-08-13,2144,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,2026-07-07,5964,https://github.com/robertmartin8/PyPortfolioOpt,"Financial portfolio optimization in python, including classical efficient frontier and advanced methods.",True,False,False,False,robertmartin8/PyPortfolioOpt
factorlasso,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-08-16,23,https://github.com/ArturSepp/factorlasso,"Sparse multi-asset factor models with cell-level sign constraints, prior-centred shrinkage, and hierarchical clustering group LASSO (HCGL); scikit-learn compatible.",True,False,False,False,ArturSepp/factorlasso
OptimalPortfolios,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-08-16,88,https://github.com/ArturSepp/OptimalPortfolios,"Optimisation analytics for constructing and backtesting optimal multi-asset portfolios: covariance estimation, rolling optimisation, and performance reporting in one pipeline.",True,False,False,False,ArturSepp/OptimalPortfolios
@@ -317,13 +317,13 @@ PerformanceAnalytics,R,R,Portfolio Optimization & Risk Analysis,Portfolio Optimi
OnlinePortfolioAnalytics.jl,Julia,Julia,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-04-13,15,https://github.com/femtotrader/OnlinePortfolioAnalytics.jl,A Julia quantitative portfolio analytics (risk / performance) via online algorithms.,True,False,False,False,femtotrader/OnlinePortfolioAnalytics.jl
RiskPerf.jl,Julia,Julia,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-07-30,16,https://github.com/rbeeli/RiskPerf.jl,Quantitative risk and performance analysis package for financial time series powered by the Julia language.,True,False,False,False,rbeeli/RiskPerf.jl
portfolio-allocation,JavaScript,JavaScript,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2022-08-11,187,https://github.com/lequant40/portfolio_allocation_js,"PortfolioAllocation is a JavaScript library designed to help constructing financial portfolios made of several assets: bonds, commodities, cryptocurrencies, currencies, exchange traded funds (ETFs), mutual funds, stocks...",True,False,False,False,lequant40/portfolio_allocation_js
Ghostfolio,JavaScript,JavaScript,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-08-16,9133,https://github.com/ghostfolio/ghostfolio,"Wealth management software to keep track of financial assets like stocks, ETFs or cryptocurrencies and make solid, data-driven investment decisions.",True,False,False,False,ghostfolio/ghostfolio
Ghostfolio,JavaScript,JavaScript,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-08-16,9134,https://github.com/ghostfolio/ghostfolio,"Wealth management software to keep track of financial assets like stocks, ETFs or cryptocurrencies and make solid, data-driven investment decisions.",True,False,False,False,ghostfolio/ghostfolio
rebalance,JavaScript,JavaScript,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-03-01,3,https://github.com/cjroth/rebalance,"Interactive portfolio rebalancing tool that imports brokerage CSV data, sets target allocations, and generates trade instructions.",True,False,False,False,cjroth/rebalance
Alpha Skills,Python,Python,Factor Analysis,Factor Analysis,factor-analysis,2026-04-14,80,https://github.com/VernonOY/alpha-skills,"AI skills for quantitative factor research: discover, evaluate, mine, backtest, and monitor factors through any AI coding assistant. Supports A-share, HK, and US markets.",True,False,False,False,VernonOY/alpha-skills
alphalens,Python,Python,Factor Analysis,Factor Analysis,factor-analysis,2020-04-27,4416,https://github.com/quantopian/alphalens,Performance analysis of predictive alpha factors.,True,False,False,False,quantopian/alphalens
alphalens-reloaded,Python,Python,Factor Analysis,Factor Analysis,factor-analysis,2025-06-02,627,https://github.com/stefan-jansen/alphalens-reloaded,Performance analysis of predictive (alpha) stock factors.,True,False,False,False,stefan-jansen/alphalens-reloaded
Spectre,Python,Python,Factor Analysis,Factor Analysis,factor-analysis,2025-04-15,819,https://github.com/Heerozh/spectre,GPU-accelerated Factors analysis library and Backtester.,True,False,False,False,Heerozh/spectre
ml-quant-trading,Python,Python,Factor Analysis,Factor Analysis,factor-analysis,2026-08-15,71,https://github.com/initial-d/ml-quant-trading,"PyTorch research stack for multi-factor analysis, bias correction, portfolio optimization, and reproducible backtesting.",True,False,False,False,initial-d/ml-quant-trading
ml-quant-trading,Python,Python,Factor Analysis,Factor Analysis,factor-analysis,2026-08-15,72,https://github.com/initial-d/ml-quant-trading,"PyTorch research stack for multi-factor analysis, bias correction, portfolio optimization, and reproducible backtesting.",True,False,False,False,initial-d/ml-quant-trading
QuantGPT,Python,Python,Factor Analysis,Factor Analysis,factor-analysis,2026-05-20,438,https://github.com/Miasyster/QuantGPT,"Agent-driven A-share factor research engine with 8 MCP tools covering hypothesis design, backtesting, scoring, and anti-overfit detection.",True,False,False,False,Miasyster/QuantGPT
quant-lab-alpha,Python,Python,Factor Analysis,Factor Analysis,factor-analysis,2026-05-17,35,https://github.com/husainm97/quant-lab-alpha,Open-source investment analytics platform bridging academic research and retail finance.,True,False,False,False,husainm97/quant-lab-alpha
Perception-XAlpha Lite,Python,Python,Factor Analysis,Factor Analysis,factor-analysis,2026-08-16,1,https://github.com/xuxingjiankr-cpu/perception-xalpha-lite,"Backtest-overfitting audit for factor research: CSCV probability of backtest overfitting, deflated Sharpe against the declared trial count, White's Reality Check, point-in-time universe membership and disclosure-date alignment. Ships a worked example in which 24 pure-noise series produce a 1.11 Sharpe and the audit says so.",True,False,False,False,xuxingjiankr-cpu/perception-xalpha-lite
@@ -336,7 +336,7 @@ CoWorker Fin-Agent,Python,Python,Sentiment Analysis & Alternative Data,Sentiment
StockKit,TypeScript,TypeScript,Sentiment Analysis & Alternative Data,Sentiment Analysis & Alternative Data,sentiment-analysis-alternative-data,2026-05-07,2,https://stockkit.net/,"Free AI-powered stock research reports for US, China & HK using Claude Opus and multi-model AI with 20+ technical indicators. [GitHub](https://github.com/kentmswood-ui/stockkit)",True,False,False,False,kentmswood-ui/stockkit
AlphaAI,Python,Python,Sentiment Analysis & Alternative Data,Sentiment Analysis & Alternative Data,sentiment-analysis-alternative-data,2026-08-15,2,https://alphai.io/developers,"Pre-analyzed financial news via REST API and MCP for AI agents: per-ticker impact and sentiment, a category, and a 1-10 relevance score on every story, plus structured SEC Form 4 insider data. Free tier, no card. [GitHub](https://github.com/makeev/alphai-mcp)",True,False,False,False,makeev/alphai-mcp
ARCH,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-08-10,1550,https://github.com/bashtage/arch,ARCH models in Python.,True,False,False,False,bashtage/arch
statsmodels,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-08-15,11576,http://statsmodels.sourceforge.net,"Python module that allows users to explore data, estimate statistical models, and perform statistical tests. [GitHub](https://github.com/statsmodels/statsmodels)",True,False,False,False,statsmodels/statsmodels
statsmodels,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-08-15,11577,http://statsmodels.sourceforge.net,"Python module that allows users to explore data, estimate statistical models, and perform statistical tests. [GitHub](https://github.com/statsmodels/statsmodels)",True,False,False,False,statsmodels/statsmodels
dynts,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2016-11-02,87,https://github.com/quantmind/dynts,Python package for timeseries analysis and manipulation.,True,False,False,False,quantmind/dynts
PyFlux,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2018-12-16,2135,https://github.com/RJT1990/pyflux,Python library for timeseries modelling and inference (frequentist and Bayesian) on models.,True,False,False,False,RJT1990/pyflux
tsfresh,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-07-06,9289,https://github.com/blue-yonder/tsfresh,Automatic extraction of relevant features from time series.,True,False,False,False,blue-yonder/tsfresh
@@ -364,9 +364,9 @@ TimeFrames.jl,Julia,Julia,Time Series Analysis,Time Series Analysis,time-series-
PineForge,C++,C++,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-08-13,171,https://github.com/pineforge-4pass/pineforge-engine,"Deterministic offline PineScript v6 → C++ backtest runtime, validated trade-for-trade against TradingView (245/246 strict, 0 engine bugs). Runs locally via Docker and is drivable by AI agents through a bundled MCP server.",True,False,False,False,pineforge-4pass/pineforge-engine
Korea Stock Data,Data,Data,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-08-14,4,https://github.com/na77tech-creator/aikstockdata,"Free Korean equity data: KOSPI/KOSDAQ settled closes with 250 trading days of per-stock history, DART regulatory filings and earnings, published every trading day as JSON/CSV. No signup or API key, CORS open. OpenAPI 3.1 spec and MCP server included.",True,False,False,False,na77tech-creator/aikstockdata
BTC Orderbook Microstructure Research,Jupyter Notebook,Jupyter Notebook,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-21,7,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,2026-07-20,71921,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,2026-08-11,30293,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,2026-08-13,24994,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,2026-07-20,71923,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,2026-08-11,30297,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,2026-08-13,24995,https://github.com/ranaroussi/yfinance,Yahoo! Finance market data downloader (+faster Pandas Datareader).,True,False,False,False,ranaroussi/yfinance
treasurydirect,TypeScript,TypeScript,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-07-11,0,https://github.com/moshejs/treasurydirect,"Zero-dependency client for the US TreasuryDirect API: auction results, upcoming auctions, CUSIP lookups, and Debt to the Penny; no API key required.",True,False,False,False,moshejs/treasurydirect
treasury-fiscaldata,TypeScript,TypeScript,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-07-11,1,https://github.com/moshejs/treasury-fiscaldata,"Typed client for the US Treasury FiscalData API (debt, average interest rates, exchange rates) with pagination and filtering; no API key required.",True,False,False,False,moshejs/treasury-fiscaldata
newyorkfed,TypeScript,TypeScript,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-07-11,0,https://github.com/moshejs/newyorkfed,"Client for the NY Fed Markets Data API: SOFR/EFFR/OBFR reference rates, SOFR averages and index, and SOMA holdings; no API key required.",True,False,False,False,moshejs/newyorkfed
@@ -389,7 +389,7 @@ pyhoofinance,Python,Python,Market Data & Data Sources,Market Data & Data Sources
yfinanceapi,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2020-05-26,9,https://github.com/Karthik005/yfinanceapi,Finance API for Python.,True,False,False,False,Karthik005/yfinanceapi
yql-finance,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2015-08-29,16,https://github.com/slawek87/yql-finance,"yql-finance is simple and fast. API returns stock closing prices for current period of time and current stock ticker (i.e. APPL, GOOGL).",True,False,False,False,slawek87/yql-finance
ystockquote,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2017-03-10,536,https://github.com/cgoldberg/ystockquote,Retrieve stock quote data from Yahoo Finance.,True,False,False,False,cgoldberg/ystockquote
jugaad-data,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-08-07,553,https://github.com/jugaad-py/jugaad-data,"Download historical and live stock data from NSE (National Stock Exchange of India), BSE, and RBI.",True,False,False,False,jugaad-py/jugaad-data
jugaad-data,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-08-07,554,https://github.com/jugaad-py/jugaad-data,"Download historical and live stock data from NSE (National Stock Exchange of India), BSE, and RBI.",True,False,False,False,jugaad-py/jugaad-data
nsetools,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2025-03-18,904,https://github.com/vsjha18/nsetools,Python library for extracting real-time data from National Stock Exchange (India).,True,False,False,False,vsjha18/nsetools
wallstreet,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2024-03-09,1688,https://github.com/mcdallas/wallstreet,Real time stock and option data.,True,False,False,False,mcdallas/wallstreet
stock_extractor,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2016-09-10,51,https://github.com/ZachLiuGIS/stock_extractor,General Purpose Stock Extractors from Online Resources.,True,False,False,False,ZachLiuGIS/stock_extractor
@@ -427,16 +427,16 @@ 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,2024-02-05,408,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,2024-01-12,1883,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,2026-08-01,0,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,2026-08-13,22059,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,2026-08-13,22061,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,2025-05-15,916,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,2022-10-02,1849,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,2026-03-28,172,https://github.com/yahoofinancelive/yliveticker,Live stream of market data from Yahoo Finance websocket.,True,False,False,False,yahoofinancelive/yliveticker
bbgbridge,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2020-01-07,2,https://github.com/ran404/bbgbridge,Easy to use Bloomberg Desktop API wrapper for Python.,True,False,False,False,ran404/bbgbridge
polygon.io,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-07-09,1496,https://github.com/polygon-io/client-python,A python library for Polygon.io financial data APIs.,True,False,False,False,polygon-io/client-python
SiftingIO,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-08-02,1,https://github.com/SiftingIO/sdk-python,A python library for Sifting.io financial market data APIs & Websocket.,True,False,False,False,SiftingIO/sdk-python
alpha_vantage,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-07-26,4895,https://github.com/RomelTorres/alpha_vantage,A python wrapper for Alpha Vantage API for financial data.,True,False,False,False,RomelTorres/alpha_vantage
alpha_vantage,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-07-26,4894,https://github.com/RomelTorres/alpha_vantage,A python wrapper for Alpha Vantage API for financial data.,True,False,False,False,RomelTorres/alpha_vantage
oilpriceapi,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-08-12,2,https://github.com/OilpriceAPI/python-sdk,"Python SDK for real-time oil and commodity prices (WTI, Brent, Urals, natural gas, coal) with OpenBB integration.",True,False,False,False,OilpriceAPI/python-sdk
FinanceDataReader,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-05-13,1532,https://github.com/FinanceData/FinanceDataReader,"Open Source Financial data reader for U.S, Korean, Japanese, Chinese, Vietnamese Stocks.",True,False,False,False,FinanceData/FinanceDataReader
FinanceDataReader,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-05-13,1531,https://github.com/FinanceData/FinanceDataReader,"Open Source Financial data reader for U.S, Korean, Japanese, Chinese, Vietnamese Stocks.",True,False,False,False,FinanceData/FinanceDataReader
pystlouisfed,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2024-01-09,21,https://github.com/TomasKoutek/pystlouisfed,"Python client for Federal Reserve Bank of St. Louis API - FRED, ALFRED, GeoFRED and FRASER.",True,False,False,False,TomasKoutek/pystlouisfed
python-bcb,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-07-27,124,https://github.com/wilsonfreitas/python-bcb,Python interface to Brazilian Central Bank web services.,True,False,False,False,wilsonfreitas/python-bcb
Dados B3,REST/MCP,REST/MCP,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,,0,https://dadosb3.com,"Fundamental data API for Brazilian listed companies and real-estate funds (FIIs) on B3: ROIC, ROE, margins, point-in-time multiples, FII P/BV and dividend yield, public methodology, free tier.",False,False,False,False,
@@ -449,7 +449,7 @@ 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,2023-02-25,134,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,2022-06-18,66,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,2026-03-22,539,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,2026-08-09,8342,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,2026-08-16,8343,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
FinanceToolkit,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-07-14,5224,https://github.com/JerBouma/FinanceToolkit,"Toolkit with 200+ financial metrics including 80+ financial ratios, 30+ technical indicators, 20+ risk and performance metrics and 50+ macro indicators which pulls from Financial Modeling Prep, Yahoo Finance, OECD, GMBD and more.",True,False,False,False,JerBouma/FinanceToolkit
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,2026-08-14,552,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
@@ -506,10 +506,10 @@ bizdays,R,R,Calendars & Market Hours,Calendars & Market Hours,calendars-market-h
sifma-holidays,TypeScript,TypeScript,Calendars & Market Hours,Calendars & Market Hours,calendars-market-hours,2026-07-11,0,https://github.com/moshejs/sifma-holidays,"US bond-market (SIFMA) holidays, early closes, and T+1 settlement-date math; zero dependencies.",True,False,False,False,moshejs/sifma-holidays
us-equity-market-calendar,TypeScript,TypeScript,Calendars & Market Hours,Calendars & Market Hours,calendars-market-hours,2026-07-11,0,https://github.com/moshejs/us-equity-market-calendar,"NYSE/NASDAQ trading calendar: holidays, 1pm early closes, trading-day navigation, and DST-aware is-market-open; zero dependencies.",True,False,False,False,moshejs/us-equity-market-calendar
fx-value-date,TypeScript,TypeScript,Calendars & Market Hours,Calendars & Market Hours,calendars-market-hours,2026-07-11,0,https://github.com/moshejs/fx-value-date,"FX spot/forward value-date calculation across two currency holiday calendars, with the USD-lag and end-of-month rules; zero dependencies.",True,False,False,False,moshejs/fx-value-date
D-Tale,Python,Python,Visualization,Visualization,visualization,2026-05-11,5214,https://github.com/man-group/dtale,Visualizer for pandas dataframes and xarray datasets.,True,False,False,False,man-group/dtale
mplfinance,Python,Python,Visualization,Visualization,visualization,2024-04-02,4422,https://github.com/matplotlib/mplfinance,"matplotlib utilities for the visualization, and visual analysis, of financial data.",True,False,False,False,matplotlib/mplfinance
D-Tale,Python,Python,Visualization,Visualization,visualization,2026-05-11,5213,https://github.com/man-group/dtale,Visualizer for pandas dataframes and xarray datasets.,True,False,False,False,man-group/dtale
mplfinance,Python,Python,Visualization,Visualization,visualization,2024-04-02,4423,https://github.com/matplotlib/mplfinance,"matplotlib utilities for the visualization, and visual analysis, of financial data.",True,False,False,False,matplotlib/mplfinance
finplot,Python,Python,Visualization,Visualization,visualization,2026-03-26,1179,https://github.com/highfestiva/finplot,Performant and effortless finance plotting for Python.,True,False,False,False,highfestiva/finplot
finvizfinance,Python,Python,Visualization,Visualization,visualization,2026-01-03,1552,https://github.com/lit26/finvizfinance,Finviz analysis python library.,True,False,False,False,lit26/finvizfinance
finvizfinance,Python,Python,Visualization,Visualization,visualization,2026-01-03,1558,https://github.com/lit26/finvizfinance,Finviz analysis python library.,True,False,False,False,lit26/finvizfinance
market-analy,Python,Python,Visualization,Visualization,visualization,2026-07-23,80,https://github.com/maread99/market_analy,Analysis and interactive charting using [market-prices](https://github.com/maread99/market_prices) and bqplot.,True,False,False,False,maread99/market_analy
QuantInvestStrats,Python,Python,Visualization,Visualization,visualization,2026-08-16,601,https://github.com/ArturSepp/QuantInvestStrats,"Quantitative Investment Strategies (QIS) package implements Python analytics for visualisation of financial data, performance reporting, analysis of quantitative strategies.",True,False,False,False,ArturSepp/QuantInvestStrats
LightweightCharts.jl,Julia,Julia,Visualization,Visualization,visualization,2026-07-06,56,https://github.com/bhftbootcamp/LightweightCharts.jl,Julia wrapper for Lightweight Charts™ by TradingView.,True,False,False,False,bhftbootcamp/LightweightCharts.jl
@@ -530,7 +530,7 @@ Jupyter Quant,Python,Python,Quant Research Environments,Quant Research Environme
RunMat,,,Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,2026-08-05,248,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,2026-05-13,42,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,2026-07-05,426,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,2026-08-14,7515,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,2026-08-14,7516,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,2026-07-26,136,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,
@@ -649,5 +649,6 @@ StreamXLS,,,Commercial & Proprietary Services,Commercial & Proprietary Services,
AtlasYield,,,Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,2026-08-16,0,https://atlasyield.club,"Independent rating and allocation layer for on-chain yield: scores every DeFi vault 0-100 across 16 factors, with a public read-only scores API. [GitHub](https://github.com/gveshk/atlasyield-score-history)",True,False,False,True,gveshk/atlasyield-score-history
Katana,,,Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,,0,https://katanascreener.com,"Free Japan stock screener built on EDINET filings. 160+ fundamentals, custom formula metrics, Graham/Piotroski/Kiyohara presets. No sign-up.",False,False,False,True,
Disclosed Capitol,,,Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,,0,https://www.disclosedcapitol.com/data-files/api,"US congressional and executive-branch stock trade disclosures API. STOCK Act filings plus OGE executive data (~6,743 transactions across 106 officials), with trade-level returns and alpha. Free tier: 500 credits, no card.",False,False,False,True,
Wealthville,REST,"REST,MCP",Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,2026-07-28,0,https://wealthville.net,"Liquidity-pool scoring for DeFi market making: a 0-100 score and an Enter/Hold/Exit/Reduce/Avoid verdict, with confidence calibrated per protocol, across ~68,800 Solana pools (Meteora DLMM, Orca Whirlpool, Raydium AMM/CLMM/CPMM) and 575 EVM pools on Ethereum, Arbitrum, Base, Optimism, Polygon and BSC. Outcomes are graded after impermanent loss and published as a miss-inclusive 30-day track record. Free keyless API, OpenAPI spec, and a hosted MCP server. [GitHub](https://github.com/amitesh-m/wealthville-integrations)",True,False,False,True,amitesh-m/wealthville-integrations
awesome-sec-filings,,,Related Lists,Related Lists,related-lists,2026-07-04,38,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
CONVEXFI,,,Related Lists,Related Lists,related-lists,,0,https://github.com/convexfi,Official GitHub organization for the convex research group at the Hong Kong University of Science and Technology (HKUST).,True,False,False,False,
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 2026-08-14 32543 32544 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 2026-08-16 14927 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 2026-08-16 49502 49501 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 2026-08-14 39364 39365 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 2017-10-26 382 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 2026-08-15 14873 https://www.sympy.org/ SymPy is a Python library for symbolic mathematics. [GitHub](https://github.com/sympy/sympy) True False False False sympy/sympy
23 DataFrames.jl Julia Julia Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-08-12 1831 https://github.com/JuliaData/DataFrames.jl In-memory tabular data in Julia. True False False False JuliaData/DataFrames.jl
24 TSFrames.jl Julia Julia Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2024-06-18 100 https://github.com/xKDR/TSFrames.jl Handle timeseries data on top of the powerful and mature DataFrames.jl. True False False False xKDR/TSFrames.jl
25 TimeArrays.jl Julia Julia Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-07-03 40 https://github.com/bhftbootcamp/TimeArrays.jl Time series handling for Julia. True False False False bhftbootcamp/TimeArrays.jl
26 jacobian Python Python,MCP Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-08-16 48 49 https://github.com/morluto/jacobian Exact computation and conjecture testing across polynomial maps, linear algebra, and graph algorithms for agent-driven mathematical research. True False False False morluto/jacobian
27 PyQL Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2026-07-16 1335 https://github.com/enthought/pyql QuantLib's Python port. True False False False enthought/pyql
28 pyfin Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2014-12-03 318 https://github.com/opendoor-labs/pyfin Basic options pricing in Python. *ARCHIVED*. True False False False opendoor-labs/pyfin
29 vollib Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2023-04-01 1015 https://github.com/vollib/vollib vollib is a python library for calculating option prices, implied volatility and greeks. True False False False vollib/vollib
37 tia Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2017-06-05 428 https://github.com/bpsmith/tia Toolkit for integration and analysis. True False False False bpsmith/tia
38 pysabr Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2022-04-21 623 https://github.com/ynouri/pysabr SABR model Python implementation. True False False False ynouri/pysabr
39 FinancePy Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2026-08-10 3107 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
40 gs-quant Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2026-08-06 12015 12017 https://github.com/goldmansachs/gs-quant Python toolkit for quantitative finance. True False False False goldmansachs/gs-quant
41 willowtree Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2018-07-14 381 https://github.com/federicomariamassari/willowtree Robust and flexible Python implementation of the willow tree lattice for derivatives pricing. True False False False federicomariamassari/willowtree
42 financial-engineering Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2017-11-20 543 https://github.com/federicomariamassari/financial-engineering Applications of Monte Carlo methods to financial engineering projects, in Python. True False False False federicomariamassari/financial-engineering
43 optlib Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2022-11-18 1629 https://github.com/dbrojas/optlib A library for financial options pricing written in Python. True False False False dbrojas/optlib
44 tf-quant-finance Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2026-08-06 5473 5474 https://github.com/google/tf-quant-finance High-performance TensorFlow library for quantitative finance. True False False False google/tf-quant-finance
45 Q-Fin Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2023-04-07 651 https://github.com/RomanMichaelPaolucci/Q-Fin A Python library for mathematical finance. True False False False RomanMichaelPaolucci/Q-Fin
46 Quantsbin Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2021-05-23 649 https://github.com/quantsbin/Quantsbin Tools for pricing and plotting of vanilla option prices, greeks and various other analysis around them. True False False False quantsbin/Quantsbin
47 finoptions Python Python Financial Instruments & Pricing Financial Instruments & Pricing financial-instruments-pricing 2024-02-01 300 https://github.com/bbcho/finoptions-dev Complete python implementation of R package fOptions with partial implementation of fExoticOptions for pricing various options. True False False False bbcho/finoptions-dev
136 fin-primitives Rust Rust Technical Indicators Technical Indicators technical-indicators 2026-03-23 15 https://github.com/Mattbusel/fin-primitives Financial market primitives in Rust: Price/Quantity/Symbol newtypes, BTreeMap order book, OHLCV aggregation, SMA/EMA/RSI indicators, position ledger with PnL, and composable risk monitor. True False False False Mattbusel/fin-primitives
137 Wickra Rust Rust,Python,JavaScript,C++,C#,Golang,Java,R Technical Indicators Technical Indicators technical-indicators 2026-08-04 43 https://github.com/wickra-lib/wickra Streaming-first technical-analysis library with a Rust core: 514 indicators updating in O(1) per tick, with bit-exact batch-vs-streaming results. True False False False wickra-lib/wickra
138 midas-core Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-14 0 https://github.com/w2ur/midas-core Multi-agent paper-trading framework where LLM agents author orders and a separate broker process enforces fifteen fill-time safety rails; each fill is stamped with the git commit it executed against for reproducibility. True False False False w2ur/midas-core
139 Manifold-BT Python Python,Rust Trading & Backtesting Trading & Backtesting trading-backtesting 2026-07-23 2026-08-16 28 https://github.com/manifoldbt/manifoldbt High-performance Rust-powered backtesting engine for quantitative research with parameter sweeps, walk-forward and Monte Carlo. True False False False manifoldbt/manifoldbt
140 mkt-alerts TypeScript TypeScript Trading & Backtesting Trading & Backtesting trading-backtesting 2026-07-23 0 https://github.com/dzianisv/mkt-alerts Self-hosted market-alert daemon: price, RSI/MACD/SMA conditions, and full Pine Script v5 custom indicators evaluated off-TradingView, on crypto (Coinbase) and stocks (Yahoo Finance) with no API key, delivered via ntfy push, email, or Telegram. True False False False dzianisv/mkt-alerts
141 pyhood Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-13 18 https://github.com/jamestford/pyhood Robinhood API client for unattended automation: after the first approved login, sessions renew from a stored refresh token with no password or device approval prompt. Covers stocks, equity and index options with Greeks, futures, IRA accounts, and the official Crypto Trading API. True False False False jamestford/pyhood
142 honest-signals Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-07-18 1 https://github.com/MarvinRey7879/honest-signals Scores detected chart patterns against the pattern-free baseline for the same market, timeframe and horizon, reporting lift with cluster-robust confidence intervals instead of a hit rate against 50%. True False False False MarvinRey7879/honest-signals
153 AI Quant Agents Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-03-24 15 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
154 TradeSight Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-07-15 164 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
155 Orallexa Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-07-12 62 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
156 Vibe-Trading Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-15 30985 30995 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
157 DeepAlpha Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-12 41 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
158 the0 Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-13 389 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
159 autonomous-audit Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-07-03 0 https://pypi.org/project/autonomous-audit/ Tamper-evident SHA-256 hash-chain audit log and human-readable report for AI trading-agent decisions; read-only, offline, and dependency-free (Python standard library only). [GitHub](https://github.com/Autonomous-Asset-Management-Agents/autonomous_/tree/main/packages/autonomous-audit) False False True False
160 Investing algorithm framework Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-13 1692 1693 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 Lumibot Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-05 1934 1935 https://github.com/Lumiwealth/lumibot Algorithmic trading framework where the same code runs for backtesting and live trading across stocks, options, crypto, futures, and forex with multiple brokers including Alpaca, Interactive Brokers, Tradier, and Schwab. True False False False Lumiwealth/lumibot
162 QSTrader Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2024-06-24 3440 https://github.com/mhallsmoore/qstrader QSTrader backtesting simulation engine. True False False False mhallsmoore/qstrader
163 Blankly Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2024-12-30 2464 https://github.com/Blankly-Finance/Blankly Fully integrated backtesting, paper trading, and live deployment. True False False False Blankly-Finance/Blankly
164 zipline Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2020-10-14 20040 20041 https://github.com/quantopian/zipline Pythonic algorithmic trading library. True False False False quantopian/zipline
165 zipline-reloaded Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2025-11-13 1921 1922 https://github.com/stefan-jansen/zipline-reloaded Zipline, a Pythonic Algorithmic Trading Library. True False False False stefan-jansen/zipline-reloaded
166 QuantSoftware Toolkit Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2016-10-07 480 https://github.com/QuantSoftware/QuantSoftwareToolkit Python-based open source software framework designed to support portfolio construction and management. True False False False QuantSoftware/QuantSoftwareToolkit
167 quantitative Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2019-03-03 67 https://github.com/jeffrey-liang/quantitative Quantitative finance, and backtesting library. True False False False jeffrey-liang/quantitative
168 analyzer Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2015-12-22 216 https://github.com/llazzaro/analyzer Python framework for real-time financial and backtesting trading strategies. True False False False llazzaro/analyzer
169 bt Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-07 2962 https://github.com/pmorissette/bt Flexible Backtesting for Python. True False False False pmorissette/bt
170 backtrader Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2023-04-19 22857 22859 https://github.com/backtrader/backtrader Python Backtesting library for trading strategies. True False False False backtrader/backtrader
171 backtrader (cloudQuant fork) Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-16 154 https://github.com/cloudQuant/backtrader Actively maintained, high-performance backtesting and live trading framework with AI-assisted strategy tooling (MCP server, skills, agent, web platform). [backtrader](https://github.com/backtrader/backtrader) fork. True False False False cloudQuant/backtrader
172 TrendFollowingSystems Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-10 19 https://github.com/ArturSepp/TrendFollowingSystems Closed-form expected returns, Sharpe ratios, and skewness of trend-following systems, with complete implementations and multi-decade futures backtests. True False False False ArturSepp/TrendFollowingSystems
173 backtest-bias Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-13 10 https://github.com/Finance-broski/backtest-bias Checks whether backtest price data is survivor-only: dead-name detection, measured bias benchmarks, CI integrity gates. True False False False Finance-broski/backtest-bias
197 jquantstats Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-15 42 https://github.com/Jebel-Quant/jquantstats Modern variation of quantstats, with additional features and performance improvements. True False False False Jebel-Quant/jquantstats
198 qtpylib Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2021-03-24 2268 https://github.com/ranaroussi/qtpylib QTPyLib, Pythonic Algorithmic Trading <http://qtpylib.io>. True False False False ranaroussi/qtpylib
199 Quantdom Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2019-03-12 773 https://github.com/constverum/Quantdom Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:.] True False False False constverum/Quantdom
200 freqtrade Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-15 2026-08-16 53329 53333 https://github.com/freqtrade/freqtrade Free, open source crypto trading bot. True False False False freqtrade/freqtrade
201 algorithmic-trading-with-python Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2021-06-01 3419 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
202 Qlib Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-07-23 47484 47500 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
203 finlab Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-27 0 https://pypi.org/project/finlab/ Python package for Taiwan stock market data, factor research, and vectorized backtesting with pandas-style strategy definitions. False False True False
204 machine-learning-for-trading Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-15 20470 20472 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
205 AlphaPy Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2025-08-24 1745 https://github.com/ScottfreeLLC/AlphaPy Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost. True False False False ScottfreeLLC/AlphaPy
206 jesse Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-12 8327 https://github.com/jesse-ai/jesse An advanced crypto trading bot written in Python. True False False False jesse-ai/jesse
207 rqalpha Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-07-23 6695 6696 https://github.com/ricequant/rqalpha A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities. True False False False ricequant/rqalpha
208 FinRL-Library Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-07-12 16020 16022 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
209 aurumq-rl Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-07-19 39 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
210 bulbea Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2017-03-19 2321 https://github.com/achillesrasquinha/bulbea Deep Learning based Python Library for Stock Market Prediction and Modelling. True False False False achillesrasquinha/bulbea
211 ib_nope Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2021-04-22 33 https://github.com/ajhpark/ib_nope Automated trading system for NOPE strategy over IBKR TWS. True False False False ajhpark/ib_nope
215 fast-trade Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-07-28 581 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
216 qf-lib Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-05 953 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
217 tda-api Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2024-06-16 1321 https://github.com/alexgolec/tda-api Gather data and trade equities, options, and ETFs via TDAmeritrade. True False False False alexgolec/tda-api
218 vectorbt Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-02 8695 8696 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
219 Lean Python Python,C# Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-14 21236 21237 https://github.com/QuantConnect/Lean Lean Algorithmic Trading Engine by QuantConnect (Python, C#). True False False False QuantConnect/Lean
220 pysystemtrade Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-07-18 3438 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
221 pytrendseries Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-30 168 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
222 PyLOB Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-14 202 https://github.com/DrAshBooth/PyLOB Fully functioning fast Limit Order Book written in Python. True False False False DrAshBooth/PyLOB
224 OctoBot Script Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-03-30 46 https://github.com/Drakkar-Software/OctoBot-Script A quant framework to create cryptocurrencies strategies - from backtesting to optimization to livetrading. True False False False Drakkar-Software/OctoBot-Script
225 hftbacktest Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2025-12-23 4365 https://github.com/nkaz001/hftbacktest A high-frequency trading and market-making backtesting tool accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books. True False False False nkaz001/hftbacktest
226 flashalpha-fill-simulator Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-16 3 https://github.com/FlashAlpha-lab/flashalpha-fill-simulator Realistic limit-order fill simulator for options credit/debit spreads with post-and-wait limits, stale-quote guards, deterministic same-bar tiebreaks, and a patient-then-cross exit; engine-agnostic and zero runtime dependencies. True False False False FlashAlpha-lab/flashalpha-fill-simulator
227 vnpy Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-06 44513 44523 https://github.com/vnpy/vnpy VeighNa is a Python-based open source quantitative trading system development framework. True False False False vnpy/vnpy
228 Intelligent Trading Bot Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-11 1848 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
229 fastquant Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2023-09-15 1754 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
230 nautilus_trader Python Python,Rust Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-16 25563 25571 https://github.com/nautechsystems/nautilus_trader A high-performance algorithmic trading platform and event-driven backtester. True False False False nautechsystems/nautilus_trader
231 NoEdge-Bench Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-07 0 https://github.com/nexusfinancial-dev/noedge-bench Reproducible negative-result benchmark: no model beats a memoryless synthetic binary-options feed (AUC ≈ 0.50), with permutation-null tests and a look-ahead-leak case study. True False False False nexusfinancial-dev/noedge-bench
232 YABTE Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2024-05-11 7 https://github.com/bsdz/yabte Yet Another (Python) BackTesting Engine. True False False False bsdz/yabte
233 Trading Strategy Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-12 243 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
247 QuantTools R R Trading & Backtesting Trading & Backtesting trading-backtesting 0 https://quanttools.bitbucket.io/_site/index.html Enhanced Quantitative Trading Modelling. False False False False
248 blotter R R Trading & Backtesting Trading & Backtesting trading-backtesting 2024-12-13 116 https://github.com/braverock/blotter Transaction infrastructure for defining instruments, transactions, portfolios and accounts for trading systems and simulation. Provides portfolio support for multi-asset class and multi-currency portfolios. Actively maintained and developed. True False False False braverock/blotter
249 quantstrat R R Trading & Backtesting Trading & Backtesting trading-backtesting 2023-09-14 310 https://github.com/braverock/quantstrat Transaction-oriented infrastructure for constructing trading systems and simulation. Provides support for multi-asset class and multi-currency portfolios for backtesting and other financial research. True False False False braverock/quantstrat
250 QUANTAXIS Matlab Matlab Trading & Backtesting Trading & Backtesting trading-backtesting 2026-02-28 11005 11007 https://github.com/yutiansut/quantaxis Integrated Quantitative Toolbox with Matlab. True False False False yutiansut/quantaxis
251 PROJ_Option_Pricing_Matlab Matlab Matlab Trading & Backtesting Trading & Backtesting trading-backtesting 2024-11-19 209 https://github.com/jkirkby3/PROJ_Option_Pricing_Matlab Quant Option Pricing - Exotic/Vanilla: Barrier, Asian, European, American, Parisian, Lookback, Cliquet, Variance Swap, Swing, Forward Starting, Step, Fader. True False False False jkirkby3/PROJ_Option_Pricing_Matlab
252 Fastback.jl Julia Julia Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-05 21 https://github.com/rbeeli/Fastback.jl Blazing fast Julia backtester. True False False False rbeeli/Fastback.jl
253 Lucky.jl Julia Julia Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-25 29 https://github.com/oliviermilla/Lucky.jl Modular, asynchronous trading engine in pure Julia. True False False False oliviermilla/Lucky.jl
254 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
255 ccxt JavaScript JavaScript,Python,PHP Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-16 43638 43640 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
256 binance-fix-connector-python Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-26 1 https://github.com/AlexanderMerkel/binance-fix-connector-python Async Python connector for Binance Spot FIX sessions with Order Entry, Market Data, and Drop Copy support. True False False False AlexanderMerkel/binance-fix-connector-python
257 Jiji Ruby Ruby Trading & Backtesting Trading & Backtesting trading-backtesting 2019-01-22 249 https://github.com/unageanu/jiji2 Open Source Forex algorithmic trading framework using OANDA REST API. True False False False unageanu/jiji2
258 Tai Elixir/Erlang Elixir/Erlang Trading & Backtesting Trading & Backtesting trading-backtesting 2024-12-06 498 https://github.com/fremantle-capital/tai Open Source composable, real time, market data and trade execution toolkit. True False False False fremantle-capital/tai
265 PandoraTrader CPP CPP Trading & Backtesting Trading & Backtesting trading-backtesting 2025-07-29 1453 https://github.com/pegasusTrader/PandoraTrader A C++ CTP trading framework, with very clear logic. True False False False pegasusTrader/PandoraTrader
266 NexusFix CPP CPP Trading & Backtesting Trading & Backtesting trading-backtesting 2026-07-21 98 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
267 TolmachЁv Netcode SDK CPP CPP Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-09 11 https://github.com/billionerleha-111/Tolmachev-Netcode-SDK Enterprise-grade deterministic state synchronization engine for MFT gateways and statistical arbitrage. Eliminates microsecond deltas locking order books via topological mathematics. Throughput >41.5M TPS, physical RTT 24.175 ns, atomic validation (0 CPU load). [Website](https://tuhct-sdk.store) True False False False billionerleha-111/Tolmachev-Netcode-SDK
268 QuantConnect CSharp CSharp Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-14 21236 21237 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
269 StockSharp CSharp CSharp Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-15 10572 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
270 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
271 Barter Rust Rust Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-09 2229 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
278 VerumTrade Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-06-29 11 https://github.com/muye1202/VerumTrade A reasoning & decision-trace visible Multi-agent LLM trading-research framework where bull/bear analysts debate each ticker and every decision cites the evidence it rests on. True False False False muye1202/VerumTrade
279 Multi-Axis Robust Portfolio Optimization Python Python Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-07-31 2 https://github.com/Viraj-Nigwekar/multi-axis-robust-portfolio-optimization Portfolio optimization framework combining covariance shrinkage, bootstrap aggregation, and parametric scenario modeling, with reproducible notebooks and an accompanying SSRN paper. True False False False Viraj-Nigwekar/multi-axis-robust-portfolio-optimization
280 AutoHypothesis Python Python Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-04-22 70 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
281 skfolio Python Python Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-08-13 2140 2144 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
282 PyPortfolioOpt Python Python Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-07-07 5964 https://github.com/robertmartin8/PyPortfolioOpt Financial portfolio optimization in python, including classical efficient frontier and advanced methods. True False False False robertmartin8/PyPortfolioOpt
283 factorlasso Python Python Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-08-16 23 https://github.com/ArturSepp/factorlasso Sparse multi-asset factor models with cell-level sign constraints, prior-centred shrinkage, and hierarchical clustering group LASSO (HCGL); scikit-learn compatible. True False False False ArturSepp/factorlasso
284 OptimalPortfolios Python Python Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-08-16 88 https://github.com/ArturSepp/OptimalPortfolios Optimisation analytics for constructing and backtesting optimal multi-asset portfolios: covariance estimation, rolling optimisation, and performance reporting in one pipeline. True False False False ArturSepp/OptimalPortfolios
317 OnlinePortfolioAnalytics.jl Julia Julia Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-04-13 15 https://github.com/femtotrader/OnlinePortfolioAnalytics.jl A Julia quantitative portfolio analytics (risk / performance) via online algorithms. True False False False femtotrader/OnlinePortfolioAnalytics.jl
318 RiskPerf.jl Julia Julia Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-07-30 16 https://github.com/rbeeli/RiskPerf.jl Quantitative risk and performance analysis package for financial time series powered by the Julia language. True False False False rbeeli/RiskPerf.jl
319 portfolio-allocation JavaScript JavaScript Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2022-08-11 187 https://github.com/lequant40/portfolio_allocation_js PortfolioAllocation is a JavaScript library designed to help constructing financial portfolios made of several assets: bonds, commodities, cryptocurrencies, currencies, exchange traded funds (ETFs), mutual funds, stocks... True False False False lequant40/portfolio_allocation_js
320 Ghostfolio JavaScript JavaScript Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-08-16 9133 9134 https://github.com/ghostfolio/ghostfolio Wealth management software to keep track of financial assets like stocks, ETFs or cryptocurrencies and make solid, data-driven investment decisions. True False False False ghostfolio/ghostfolio
321 rebalance JavaScript JavaScript Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-03-01 3 https://github.com/cjroth/rebalance Interactive portfolio rebalancing tool that imports brokerage CSV data, sets target allocations, and generates trade instructions. True False False False cjroth/rebalance
322 Alpha Skills Python Python Factor Analysis Factor Analysis factor-analysis 2026-04-14 80 https://github.com/VernonOY/alpha-skills AI skills for quantitative factor research: discover, evaluate, mine, backtest, and monitor factors through any AI coding assistant. Supports A-share, HK, and US markets. True False False False VernonOY/alpha-skills
323 alphalens Python Python Factor Analysis Factor Analysis factor-analysis 2020-04-27 4416 https://github.com/quantopian/alphalens Performance analysis of predictive alpha factors. True False False False quantopian/alphalens
324 alphalens-reloaded Python Python Factor Analysis Factor Analysis factor-analysis 2025-06-02 627 https://github.com/stefan-jansen/alphalens-reloaded Performance analysis of predictive (alpha) stock factors. True False False False stefan-jansen/alphalens-reloaded
325 Spectre Python Python Factor Analysis Factor Analysis factor-analysis 2025-04-15 819 https://github.com/Heerozh/spectre GPU-accelerated Factors analysis library and Backtester. True False False False Heerozh/spectre
326 ml-quant-trading Python Python Factor Analysis Factor Analysis factor-analysis 2026-08-15 71 72 https://github.com/initial-d/ml-quant-trading PyTorch research stack for multi-factor analysis, bias correction, portfolio optimization, and reproducible backtesting. True False False False initial-d/ml-quant-trading
327 QuantGPT Python Python Factor Analysis Factor Analysis factor-analysis 2026-05-20 438 https://github.com/Miasyster/QuantGPT Agent-driven A-share factor research engine with 8 MCP tools covering hypothesis design, backtesting, scoring, and anti-overfit detection. True False False False Miasyster/QuantGPT
328 quant-lab-alpha Python Python Factor Analysis Factor Analysis factor-analysis 2026-05-17 35 https://github.com/husainm97/quant-lab-alpha Open-source investment analytics platform bridging academic research and retail finance. True False False False husainm97/quant-lab-alpha
329 Perception-XAlpha Lite Python Python Factor Analysis Factor Analysis factor-analysis 2026-08-16 1 https://github.com/xuxingjiankr-cpu/perception-xalpha-lite Backtest-overfitting audit for factor research: CSCV probability of backtest overfitting, deflated Sharpe against the declared trial count, White's Reality Check, point-in-time universe membership and disclosure-date alignment. Ships a worked example in which 24 pure-noise series produce a 1.11 Sharpe and the audit says so. True False False False xuxingjiankr-cpu/perception-xalpha-lite
336 StockKit TypeScript TypeScript Sentiment Analysis & Alternative Data Sentiment Analysis & Alternative Data sentiment-analysis-alternative-data 2026-05-07 2 https://stockkit.net/ Free AI-powered stock research reports for US, China & HK using Claude Opus and multi-model AI with 20+ technical indicators. [GitHub](https://github.com/kentmswood-ui/stockkit) True False False False kentmswood-ui/stockkit
337 AlphaAI Python Python Sentiment Analysis & Alternative Data Sentiment Analysis & Alternative Data sentiment-analysis-alternative-data 2026-08-15 2 https://alphai.io/developers Pre-analyzed financial news via REST API and MCP for AI agents: per-ticker impact and sentiment, a category, and a 1-10 relevance score on every story, plus structured SEC Form 4 insider data. Free tier, no card. [GitHub](https://github.com/makeev/alphai-mcp) True False False False makeev/alphai-mcp
338 ARCH Python Python Time Series Analysis Time Series Analysis time-series-analysis 2026-08-10 1550 https://github.com/bashtage/arch ARCH models in Python. True False False False bashtage/arch
339 statsmodels Python Python Time Series Analysis Time Series Analysis time-series-analysis 2026-08-15 11576 11577 http://statsmodels.sourceforge.net Python module that allows users to explore data, estimate statistical models, and perform statistical tests. [GitHub](https://github.com/statsmodels/statsmodels) True False False False statsmodels/statsmodels
340 dynts Python Python Time Series Analysis Time Series Analysis time-series-analysis 2016-11-02 87 https://github.com/quantmind/dynts Python package for timeseries analysis and manipulation. True False False False quantmind/dynts
341 PyFlux Python Python Time Series Analysis Time Series Analysis time-series-analysis 2018-12-16 2135 https://github.com/RJT1990/pyflux Python library for timeseries modelling and inference (frequentist and Bayesian) on models. True False False False RJT1990/pyflux
342 tsfresh Python Python Time Series Analysis Time Series Analysis time-series-analysis 2026-07-06 9289 https://github.com/blue-yonder/tsfresh Automatic extraction of relevant features from time series. True False False False blue-yonder/tsfresh
364 PineForge C++ C++ Time Series Analysis Time Series Analysis time-series-analysis 2026-08-13 171 https://github.com/pineforge-4pass/pineforge-engine Deterministic offline PineScript v6 → C++ backtest runtime, validated trade-for-trade against TradingView (245/246 strict, 0 engine bugs). Runs locally via Docker and is drivable by AI agents through a bundled MCP server. True False False False pineforge-4pass/pineforge-engine
365 Korea Stock Data Data Data Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-08-14 4 https://github.com/na77tech-creator/aikstockdata Free Korean equity data: KOSPI/KOSDAQ settled closes with 250 trading days of per-stock history, DART regulatory filings and earnings, published every trading day as JSON/CSV. No signup or API key, CORS open. OpenAPI 3.1 spec and MCP server included. True False False False na77tech-creator/aikstockdata
366 BTC Orderbook Microstructure Research Jupyter Notebook Jupyter Notebook Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-04-21 7 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
367 OpenBB Terminal Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-07-20 71921 71923 https://github.com/OpenBB-finance/OpenBBTerminal Terminal for investment research for everyone. True False False False OpenBB-finance/OpenBBTerminal
368 Fincept Terminal Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-08-11 30293 30297 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
369 yfinance Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-08-13 24994 24995 https://github.com/ranaroussi/yfinance Yahoo! Finance market data downloader (+faster Pandas Datareader). True False False False ranaroussi/yfinance
370 treasurydirect TypeScript TypeScript Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-07-11 0 https://github.com/moshejs/treasurydirect Zero-dependency client for the US TreasuryDirect API: auction results, upcoming auctions, CUSIP lookups, and Debt to the Penny; no API key required. True False False False moshejs/treasurydirect
371 treasury-fiscaldata TypeScript TypeScript Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-07-11 1 https://github.com/moshejs/treasury-fiscaldata Typed client for the US Treasury FiscalData API (debt, average interest rates, exchange rates) with pagination and filtering; no API key required. True False False False moshejs/treasury-fiscaldata
372 newyorkfed TypeScript TypeScript Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-07-11 0 https://github.com/moshejs/newyorkfed Client for the NY Fed Markets Data API: SOFR/EFFR/OBFR reference rates, SOFR averages and index, and SOMA holdings; no API key required. True False False False moshejs/newyorkfed
389 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
390 yql-finance Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2015-08-29 16 https://github.com/slawek87/yql-finance yql-finance is simple and fast. API returns stock closing prices for current period of time and current stock ticker (i.e. APPL, GOOGL). True False False False slawek87/yql-finance
391 ystockquote Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2017-03-10 536 https://github.com/cgoldberg/ystockquote Retrieve stock quote data from Yahoo Finance. True False False False cgoldberg/ystockquote
392 jugaad-data Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-08-07 553 554 https://github.com/jugaad-py/jugaad-data Download historical and live stock data from NSE (National Stock Exchange of India), BSE, and RBI. True False False False jugaad-py/jugaad-data
393 nsetools Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2025-03-18 904 https://github.com/vsjha18/nsetools Python library for extracting real-time data from National Stock Exchange (India). True False False False vsjha18/nsetools
394 wallstreet Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2024-03-09 1688 https://github.com/mcdallas/wallstreet Real time stock and option data. True False False False mcdallas/wallstreet
395 stock_extractor Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2016-09-10 51 https://github.com/ZachLiuGIS/stock_extractor General Purpose Stock Extractors from Online Resources. True False False False ZachLiuGIS/stock_extractor
427 pyEX Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2024-02-05 408 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
428 alpaca-trade-api Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2024-01-12 1883 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
429 metatrader5 Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-08-01 0 https://pypi.org/project/MetaTrader5/ API Connector to MetaTrader 5 Terminal. (Last updated: 2026-02-20). False False True False
430 akshare Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-08-13 22059 22061 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
431 yahooquery Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2025-05-15 916 https://github.com/dpguthrie/yahooquery Python interface for retrieving data through unofficial Yahoo Finance API. True False False False dpguthrie/yahooquery
432 investpy Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2022-10-02 1849 https://github.com/alvarobartt/investpy Financial Data Extraction from Investing.com with Python! <https://investpy.readthedocs.io/>. True False False False alvarobartt/investpy
433 yliveticker Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-03-28 172 https://github.com/yahoofinancelive/yliveticker Live stream of market data from Yahoo Finance websocket. True False False False yahoofinancelive/yliveticker
434 bbgbridge Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2020-01-07 2 https://github.com/ran404/bbgbridge Easy to use Bloomberg Desktop API wrapper for Python. True False False False ran404/bbgbridge
435 polygon.io Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-07-09 1496 https://github.com/polygon-io/client-python A python library for Polygon.io financial data APIs. True False False False polygon-io/client-python
436 SiftingIO Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-08-02 1 https://github.com/SiftingIO/sdk-python A python library for Sifting.io financial market data APIs & Websocket. True False False False SiftingIO/sdk-python
437 alpha_vantage Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-07-26 4895 4894 https://github.com/RomelTorres/alpha_vantage A python wrapper for Alpha Vantage API for financial data. True False False False RomelTorres/alpha_vantage
438 oilpriceapi Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-08-12 2 https://github.com/OilpriceAPI/python-sdk Python SDK for real-time oil and commodity prices (WTI, Brent, Urals, natural gas, coal) with OpenBB integration. True False False False OilpriceAPI/python-sdk
439 FinanceDataReader Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-05-13 1532 1531 https://github.com/FinanceData/FinanceDataReader Open Source Financial data reader for U.S, Korean, Japanese, Chinese, Vietnamese Stocks. True False False False FinanceData/FinanceDataReader
440 pystlouisfed Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2024-01-09 21 https://github.com/TomasKoutek/pystlouisfed Python client for Federal Reserve Bank of St. Louis API - FRED, ALFRED, GeoFRED and FRASER. True False False False TomasKoutek/pystlouisfed
441 python-bcb Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-07-27 124 https://github.com/wilsonfreitas/python-bcb Python interface to Brazilian Central Bank web services. True False False False wilsonfreitas/python-bcb
442 Dados B3 REST/MCP REST/MCP Market Data & Data Sources Market Data & Data Sources market-data-data-sources 0 https://dadosb3.com Fundamental data API for Brazilian listed companies and real-estate funds (FIIs) on B3: ROIC, ROE, margins, point-in-time multiples, FII P/BV and dividend yield, public methodology, free tier. False False False False
449 pandaSDMX Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2023-02-25 134 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
450 cif Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2022-06-18 66 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
451 finagg Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-03-22 539 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
452 FinanceDatabase Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-08-09 2026-08-16 8342 8343 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
453 FinanceToolkit Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-07-14 5224 https://github.com/JerBouma/FinanceToolkit Toolkit with 200+ financial metrics including 80+ financial ratios, 30+ technical indicators, 20+ risk and performance metrics and 50+ macro indicators which pulls from Financial Modeling Prep, Yahoo Finance, OECD, GMBD and more. True False False False JerBouma/FinanceToolkit
454 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
455 datamule-python Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-08-14 552 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
506 sifma-holidays TypeScript TypeScript Calendars & Market Hours Calendars & Market Hours calendars-market-hours 2026-07-11 0 https://github.com/moshejs/sifma-holidays US bond-market (SIFMA) holidays, early closes, and T+1 settlement-date math; zero dependencies. True False False False moshejs/sifma-holidays
507 us-equity-market-calendar TypeScript TypeScript Calendars & Market Hours Calendars & Market Hours calendars-market-hours 2026-07-11 0 https://github.com/moshejs/us-equity-market-calendar NYSE/NASDAQ trading calendar: holidays, 1pm early closes, trading-day navigation, and DST-aware is-market-open; zero dependencies. True False False False moshejs/us-equity-market-calendar
508 fx-value-date TypeScript TypeScript Calendars & Market Hours Calendars & Market Hours calendars-market-hours 2026-07-11 0 https://github.com/moshejs/fx-value-date FX spot/forward value-date calculation across two currency holiday calendars, with the USD-lag and end-of-month rules; zero dependencies. True False False False moshejs/fx-value-date
509 D-Tale Python Python Visualization Visualization visualization 2026-05-11 5214 5213 https://github.com/man-group/dtale Visualizer for pandas dataframes and xarray datasets. True False False False man-group/dtale
510 mplfinance Python Python Visualization Visualization visualization 2024-04-02 4422 4423 https://github.com/matplotlib/mplfinance matplotlib utilities for the visualization, and visual analysis, of financial data. True False False False matplotlib/mplfinance
511 finplot Python Python Visualization Visualization visualization 2026-03-26 1179 https://github.com/highfestiva/finplot Performant and effortless finance plotting for Python. True False False False highfestiva/finplot
512 finvizfinance Python Python Visualization Visualization visualization 2026-01-03 1552 1558 https://github.com/lit26/finvizfinance Finviz analysis python library. True False False False lit26/finvizfinance
513 market-analy Python Python Visualization Visualization visualization 2026-07-23 80 https://github.com/maread99/market_analy Analysis and interactive charting using [market-prices](https://github.com/maread99/market_prices) and bqplot. True False False False maread99/market_analy
514 QuantInvestStrats Python Python Visualization Visualization visualization 2026-08-16 601 https://github.com/ArturSepp/QuantInvestStrats Quantitative Investment Strategies (QIS) package implements Python analytics for visualisation of financial data, performance reporting, analysis of quantitative strategies. True False False False ArturSepp/QuantInvestStrats
515 LightweightCharts.jl Julia Julia Visualization Visualization visualization 2026-07-06 56 https://github.com/bhftbootcamp/LightweightCharts.jl Julia wrapper for Lightweight Charts™ by TradingView. True False False False bhftbootcamp/LightweightCharts.jl
530 RunMat Cross-Language Frameworks Cross-Language Frameworks cross-language-frameworks 2026-08-05 248 https://runmat.org High performance, Open Source, MATLAB syntax runtime. [GitHub](https://github.com/runmat-org/runmat) True False False False runmat-org/runmat
531 QuantLibRisks Cross-Language Frameworks Cross-Language Frameworks cross-language-frameworks 2026-05-13 42 https://github.com/auto-differentiation/QuantLib-Risks-Cpp Fast risks with QuantLib in C++. True False False False auto-differentiation/QuantLib-Risks-Cpp
532 XAD Cross-Language Frameworks Cross-Language Frameworks cross-language-frameworks 2026-07-05 426 https://github.com/auto-differentiation/xad Automatic Differentation (AAD) Library. True False False False auto-differentiation/xad
533 QuantLib Cross-Language Frameworks Cross-Language Frameworks cross-language-frameworks 2026-08-14 7515 7516 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
534 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
535 RQuantLib Cross-Language Frameworks Cross-Language Frameworks cross-language-frameworks 2026-07-26 136 https://github.com/eddelbuettel/rquantlib R port. True False False False eddelbuettel/rquantlib
536 QuantLibAddin Cross-Language Frameworks Cross-Language Frameworks cross-language-frameworks 0 https://www.quantlib.org/quantlibaddin/ Excel support. False False False False
649 AtlasYield Commercial & Proprietary Services Commercial & Proprietary Services commercial-proprietary-services 2026-08-16 0 https://atlasyield.club Independent rating and allocation layer for on-chain yield: scores every DeFi vault 0-100 across 16 factors, with a public read-only scores API. [GitHub](https://github.com/gveshk/atlasyield-score-history) True False False True gveshk/atlasyield-score-history
650 Katana Commercial & Proprietary Services Commercial & Proprietary Services commercial-proprietary-services 0 https://katanascreener.com Free Japan stock screener built on EDINET filings. 160+ fundamentals, custom formula metrics, Graham/Piotroski/Kiyohara presets. No sign-up. False False False True
651 Disclosed Capitol Commercial & Proprietary Services Commercial & Proprietary Services commercial-proprietary-services 0 https://www.disclosedcapitol.com/data-files/api US congressional and executive-branch stock trade disclosures API. STOCK Act filings plus OGE executive data (~6,743 transactions across 106 officials), with trade-level returns and alpha. Free tier: 500 credits, no card. False False False True
652 Wealthville REST REST,MCP Commercial & Proprietary Services Commercial & Proprietary Services commercial-proprietary-services 2026-07-28 0 https://wealthville.net Liquidity-pool scoring for DeFi market making: a 0-100 score and an Enter/Hold/Exit/Reduce/Avoid verdict, with confidence calibrated per protocol, across ~68,800 Solana pools (Meteora DLMM, Orca Whirlpool, Raydium AMM/CLMM/CPMM) and 575 EVM pools on Ethereum, Arbitrum, Base, Optimism, Polygon and BSC. Outcomes are graded after impermanent loss and published as a miss-inclusive 30-day track record. Free keyless API, OpenAPI spec, and a hosted MCP server. [GitHub](https://github.com/amitesh-m/wealthville-integrations) True False False True amitesh-m/wealthville-integrations
653 awesome-sec-filings Related Lists Related Lists related-lists 2026-07-04 38 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
654 CONVEXFI Related Lists Related Lists related-lists 0 https://github.com/convexfi Official GitHub organization for the convex research group at the Hong Kong University of Science and Technology (HKUST). True False False False