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<td class="col-num">3</td>
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<a href="https://pandas.pydata.org" target="_blank" rel="noopener">pandas</a>
<span class="mobile-category">Numerical Libraries &amp; Data Structures</span>
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<td class="col-stars"><span class="stars" title="49,536 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 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>
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<td class="col-num">4</td>
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<a href="https://docs.pola.rs/" target="_blank" rel="noopener">polars</a>
<span class="mobile-category">Numerical Libraries &amp; Data Structures</span>
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<td class="col-stars"><span class="stars" title="39,355 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 39.4k</span></td>
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<td class="col-stars"><span class="stars" title="14,867 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 14.9k</span></td>
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<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="2474">
<tr class="row" data-languages="Python" data-category="Numerical Libraries &amp; Data Structures" data-sources="github" data-stars="2475">
<td class="col-num">10</td>
<td class="col-name">
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<span class="mobile-category">Numerical Libraries &amp; Data Structures</span>
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<td class="col-stars"><span class="stars" title="2,474 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> 2.5k</span></td>
<td class="col-stars"><span class="stars" title="2,475 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 2.5k</span></td>
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<td class="col-stars"><span class="stars" title="43 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 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</span></td>
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<tr class="row" data-languages="Python" data-category="Financial Instruments &amp; Pricing" data-sources="github" data-stars="11998">
<tr class="row" data-languages="Python" data-category="Financial Instruments &amp; Pricing" data-sources="github" data-stars="12000">
<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>
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<td class="col-stars"><span class="stars" title="11,998 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 12k</span></td>
<td class="col-stars"><span class="stars" title="12,000 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 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>
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<tr class="row" data-languages="Python" data-category="Financial Instruments &amp; Pricing" data-sources="github" data-stars="5473">
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<td class="col-num">43</td>
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<a href="https://github.com/google/tf-quant-finance" target="_blank" rel="noopener">tf-quant-finance</a>
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<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>
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<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="30858">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="30861">
<td class="col-num">154</td>
<td class="col-name">
<a href="https://github.com/HKUDS/Vibe-Trading" target="_blank" rel="noopener">Vibe-Trading</a>
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<td class="col-stars"><span class="stars" title="30,858 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 30.9k</span></td>
<td class="col-stars"><span class="stars" title="30,861 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 30.9k</span></td>
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<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
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<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="1664">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="1669">
<td class="col-num">158</td>
<td class="col-name">
<a href="https://github.com/coding-kitties/investing-algorithm-framework" target="_blank" rel="noopener">Investing algorithm framework</a>
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<td class="col-stars"><span class="stars" title="1,664 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 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="1,669 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 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>
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</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="53275">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="53282">
<td class="col-num">197</td>
<td class="col-name">
<a href="https://github.com/freqtrade/freqtrade" target="_blank" rel="noopener">freqtrade</a>
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</td>
<td class="col-stars"><span class="stars" title="53,275 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 53.3k</span></td>
<td class="col-stars"><span class="stars" title="53,282 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 53.3k</span></td>
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<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
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<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="47409">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="47413">
<td class="col-num">199</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>
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<td class="col-stars"><span class="stars" title="47,409 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 47.4k</span></td>
<td class="col-stars"><span class="stars" title="47,413 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 47.4k</span></td>
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<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
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<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="20445">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="20447">
<td class="col-num">201</td>
<td class="col-name">
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</td>
<td class="col-stars"><span class="stars" title="20,445 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 20.4k</span></td>
<td class="col-stars"><span class="stars" title="20,447 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 20.4k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-14">2026-08-14</span></td>
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<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
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<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="6693">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="6694">
<td class="col-num">204</td>
<td class="col-name">
<a href="https://github.com/ricequant/rqalpha" target="_blank" rel="noopener">rqalpha</a>
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</td>
<td class="col-stars"><span class="stars" title="6,693 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> 6.7k</span></td>
<td class="col-stars"><span class="stars" title="6,694 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 6.7k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-07-23">2026-07-23</span></td>
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<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
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<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="16009">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="16010">
<td class="col-num">205</td>
<td class="col-name">
<a href="https://github.com/AI4Finance-LLC/FinRL-Library" target="_blank" rel="noopener">FinRL-Library</a>
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<td class="col-stars"><span class="stars" title="16,009 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 16k</span></td>
<td class="col-stars"><span class="stars" title="16,010 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 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>
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<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
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<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="8676">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="8677">
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<td class="col-stars"><span class="stars" title="8,676 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 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="8,677 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 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>
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<tr class="row" data-languages="Python C#" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="21211">
<tr class="row" data-languages="Python C#" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="21214">
<td class="col-num">216</td>
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<td class="col-stars"><span class="stars" title="21,211 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 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="21,214 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> 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>
@@ -5891,13 +5891,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="44467">
<tr class="row" data-languages="Python" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="44469">
<td class="col-num">224</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="44,467 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 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="44,469 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 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>
@@ -5969,14 +5969,14 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python Rust" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="25495">
<tr class="row" data-languages="Python Rust" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="25498">
<td class="col-num">227</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="25,495 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 25.5k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-14">2026-08-14</span></td>
<td class="col-stars"><span class="stars" title="25,498 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 25.5k</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>
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Rust">rust</button>
@@ -6621,13 +6621,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="JavaScript Python PHP" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="43626">
<tr class="row" data-languages="JavaScript Python PHP" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="43628">
<td class="col-num">252</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="43,626 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 43.6k</span></td>
<td class="col-stars"><span class="stars" title="43,628 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 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: 2026-08-14">2026-08-14</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="JavaScript">javascript</button>
@@ -6962,13 +6962,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="21211">
<tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="21214">
<td class="col-num">265</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="21,211 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 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="21,214 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> 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>
@@ -6988,13 +6988,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="10563">
<tr class="row" data-languages="CSharp" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="10565">
<td class="col-num">266</td>
<td class="col-name">
<a href="https://github.com/StockSharp/StockSharp" target="_blank" rel="noopener">StockSharp</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="10,563 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> 10.6k</span></td>
<td class="col-stars"><span class="stars" title="10,565 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 10.6k</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>
@@ -7040,13 +7040,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Rust" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="2227">
<tr class="row" data-languages="Rust" data-category="Trading &amp; Backtesting" data-sources="github" data-stars="2228">
<td class="col-num">268</td>
<td class="col-name">
<a href="https://github.com/barter-rs/barter-rs" target="_blank" rel="noopener">Barter</a>
<span class="mobile-category">Trading &amp; Backtesting</span>
</td>
<td class="col-stars"><span class="stars" title="2,227 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 2.2k</span></td>
<td class="col-stars"><span class="stars" title="2,228 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 2.2k</span></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-05-09">2026-05-09</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Rust">rust</button>
@@ -8290,13 +8290,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="JavaScript" data-category="Portfolio Optimization &amp; Risk Analysis" data-sources="github" data-stars="9126">
<tr class="row" data-languages="JavaScript" data-category="Portfolio Optimization &amp; Risk Analysis" data-sources="github" data-stars="9127">
<td class="col-num">316</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="9,126 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 9.1k</span></td>
<td class="col-stars"><span class="stars" title="9,127 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 9.1k</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="JavaScript">javascript</button>
@@ -9512,13 +9512,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="71860">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="71863">
<td class="col-num">363</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="71,860 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 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="71,863 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 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>
@@ -9538,13 +9538,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="30225">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="30229">
<td class="col-num">364</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="30,225 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 30.2k</span></td>
<td class="col-stars"><span class="stars" title="30,229 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 30.2k</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>
@@ -9564,13 +9564,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="24989">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="24990">
<td class="col-num">365</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="24,989 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 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="24,990 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 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>
@@ -11330,13 +11330,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="4894">
<tr class="row" data-languages="Python" data-category="Market Data &amp; Data Sources" data-sources="github" data-stars="4895">
<td class="col-num">433</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="4,894 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-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-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>
@@ -12689,7 +12689,7 @@
<span class="mobile-category">Market Data &amp; Data Sources</span>
</td>
<td class="col-stars"></td>
<td class="col-update"><span class="last-update" title="Last commit: 2026-08-14">2026-08-14</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="Data">data</button>
<button class="tag tag-section" data-filter-type="category" data-filter-value="Market Data &amp; Data Sources">market-data-data-sources</button>
@@ -12734,13 +12734,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="Python JavaScript" data-category="Prediction Markets" data-sources="github" data-stars="2082">
<tr class="row" data-languages="Python JavaScript" data-category="Prediction Markets" data-sources="github" data-stars="2083">
<td class="col-num">487</td>
<td class="col-name">
<a href="https://github.com/pmxt-dev/pmxt" target="_blank" rel="noopener">pmxt</a>
<span class="mobile-category">Prediction Markets</span>
</td>
<td class="col-stars"><span class="stars" title="2,082 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 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="2,083 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 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: 2026-07-18">2026-07-18</span></td>
<td class="col-tags">
<button class="tag tag-lang" data-filter-type="language" data-filter-value="Python">python</button>
@@ -14094,13 +14094,13 @@
</div>
</td>
</tr>
<tr class="row" data-languages="TypeScript JavaScript Pine Script" data-category="Cross-Language Frameworks" data-sources="github" data-stars="489">
<tr class="row" data-languages="TypeScript JavaScript Pine Script" data-category="Cross-Language Frameworks" data-sources="github" data-stars="490">
<td class="col-num">540</td>
<td class="col-name">
<a href="https://github.com/LuxAlgo/PineTS" target="_blank" rel="noopener">PineTS</a>
<span class="mobile-category">Cross-Language Frameworks</span>
</td>
<td class="col-stars"><span class="stars" title="489 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 489</span></td>
<td class="col-stars"><span class="stars" title="490 stars"><svg width="12" height="12" viewBox="0 0 24 24" fill="currentColor"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.56 5.82 22 7 14.14 2 9.27l6.91-1.01L12 2z"/></svg> 490</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="TypeScript">typescript</button>
@@ -16715,7 +16715,7 @@
<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: 2026-08-14">2026-08-14</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-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>
projects.csv
+32 -32
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@@ -1,14 +1,14 @@
project,language,languages,category,section,section_slug,last_commit,stars,url,description,github,cran,pypi,commercial,repo
numpy,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-08-14,32543,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
scipy,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-08-14,14921,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,2026-08-14,49536,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,2026-08-14,39355,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
scipy,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-08-15,14921,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,2026-08-14,49498,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,2026-08-14,39358,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,2026-08-13,14867,https://www.sympy.org/,SymPy is a Python library for symbolic mathematics. [GitHub](https://github.com/sympy/sympy),True,False,False,False,sympy/sympy
sympy,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-08-15,14867,https://www.sympy.org/,SymPy is a Python library for symbolic mathematics. [GitHub](https://github.com/sympy/sympy),True,False,False,False,sympy/sympy
pymc3,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-08-13,9710,https://docs.pymc.io/,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano. [GitHub](https://github.com/pymc-devs/pymc),True,False,False,False,pymc-devs/pymc
modelx,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-08-08,133,https://docs.modelx.io/,Python reimagination of spreadsheets as formula-centric objects that are interoperable with pandas. [GitHub](https://github.com/fumitoh/modelx),True,False,False,False,fumitoh/modelx
ArcticDB,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-08-14,2474,https://github.com/man-group/ArcticDB,High performance datastore for time series and tick data.,True,False,False,False,man-group/ArcticDB
ArcticDB,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-08-14,2475,https://github.com/man-group/ArcticDB,High performance datastore for time series and tick data.,True,False,False,False,man-group/ArcticDB
CRNG,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-04-12,8,https://github.com/brotto/crng,"Contingency Random Number Generator that produces random numbers with real financial market statistical signatures (fat tails, volatility clustering, kurtosis). Matches 86% of real market metrics vs 14% for NumPy.",True,False,False,False,brotto/crng
xts,R,R,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-02-27,224,https://github.com/joshuaulrich/xts,"eXtensible Time Series: Provide for uniform handling of R's different time-based data classes by extending zoo, maximizing native format information preservation and allowing for user level customization and extension, while simplifying cross-class interoperability.",True,False,False,False,joshuaulrich/xts
data.table,R,R,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-08-10,3908,https://github.com/Rdatatable/data.table,"Extension of data.frame: Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns and a fast file reader (fread). Offers a natural and flexible syntax, for faster development.",True,False,False,False,Rdatatable/data.table
@@ -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,2026-08-14,43,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,2026-08-15,43,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,2026-07-16,1334,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,2026-08-06,11998,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,2026-08-06,12000,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,2022-11-18,1630,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
@@ -152,11 +152,11 @@ 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,2026-08-14,30858,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,2026-08-14,30861,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,2026-08-13,1664,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
Investing algorithm framework,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-13,1669,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,2026-08-05,1924,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,2024-06-24,3439,https://github.com/mhallsmoore/qstrader,QSTrader backtesting simulation engine.,True,False,False,False,mhallsmoore/qstrader
Blankly,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-12-30,2465,https://github.com/Blankly-Finance/Blankly,"Fully integrated backtesting, paper trading, and live deployment.",True,False,False,False,Blankly-Finance/Blankly
@@ -195,15 +195,15 @@ quantstats,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-bac
jquantstats,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-14,42,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,2026-08-14,53275,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,2026-08-14,53282,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,2026-07-23,47409,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,2026-07-23,47413,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,2026-08-14,20445,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,2026-08-14,20447,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,2026-08-12,8317,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,2026-07-23,6693,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,2026-07-12,16009,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,2026-07-23,6694,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,2026-07-12,16010,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
@@ -213,8 +213,8 @@ 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,2026-08-02,8676,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,2026-08-14,21211,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,2026-08-02,8677,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,2026-08-14,21214,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,2026-07-18,3435,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
@@ -222,10 +222,10 @@ 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,2025-12-23,4359,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,2026-08-06,44467,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,2026-08-06,44469,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,2026-08-11,1847,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,2026-08-14,25495,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,2026-08-15,25498,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
@@ -250,7 +250,7 @@ PROJ_Option_Pricing_Matlab,Matlab,Matlab,Trading & Backtesting,Trading & Backtes
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,2026-08-14,43626,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,2026-08-14,43628,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
@@ -263,10 +263,10 @@ OrderMatchingEngine,CPP,CPP,Trading & Backtesting,Trading & Backtesting,trading-
PandoraTrader,CPP,CPP,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-07-29,1454,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,2026-08-14,21211,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,2026-08-14,10563,https://github.com/StockSharp/StockSharp,"Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).",True,False,False,False,StockSharp/StockSharp
QuantConnect,CSharp,CSharp,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-14,21214,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,2026-08-14,10565,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,2026-05-09,2227,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
Barter,Rust,Rust,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-09,2228,https://github.com/barter-rs/barter-rs,Open-source Rust framework for building event-driven live-trading & backtesting systems.,True,False,False,False,barter-rs/barter-rs
LFEST,Rust,Rust,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-22,82,https://github.com/MathisWellmann/lfest-rs,Simulated perpetual futures exchange to trade your strategy against.,True,False,False,False,MathisWellmann/lfest-rs
Sextant,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-05,2,https://github.com/raphaub-hub/SEXTANT,"Local event-driven backtesting engine with no-code strategy builder and FRED vintage, ALFRED, yFinance support.",True,False,False,False,raphaub-hub/SEXTANT
TradeClaw,Node.js,"Node.js,TypeScript",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-11,40,https://github.com/naimkatiman/tradeclaw,"Open-source self-hosted AI trading signal platform. Generates buy/sell signals using RSI, MACD, EMA, Bollinger Bands for forex, crypto and commodities. Deployable via Docker Compose. ([Demo](https://tradeclaw.win/dashboard))",True,False,False,False,naimkatiman/tradeclaw
@@ -314,7 +314,7 @@ PerformanceAnalytics,R,R,Portfolio Optimization & Risk Analysis,Portfolio Optimi
OnlinePortfolioAnalytics.jl,Julia,Julia,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-04-13,15,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,2026-08-14,9126,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,2026-08-14,9127,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,2020-04-27,4414,https://github.com/quantopian/alphalens,Performance analysis of predictive alpha factors.,True,False,False,False,quantopian/alphalens
@@ -361,9 +361,9 @@ TimeFrames.jl,Julia,Julia,Time Series Analysis,Time Series Analysis,time-series-
PineForge,C++,C++,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-08-13,172,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,2026-07-20,71860,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,2026-08-11,30225,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,2026-08-13,24989,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,2026-07-20,71863,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,2026-08-11,30229,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,2026-08-13,24990,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
@@ -431,7 +431,7 @@ yliveticker,Python,Python,Market Data & Data Sources,Market Data & Data Sources,
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,2026-07-26,4894,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,2026-07-26,4895,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,2026-05-13,1531,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
@@ -483,9 +483,9 @@ fin-stream,Rust,Rust,Market Data & Data Sources,Market Data & Data Sources,marke
finalytics,Rust,Rust,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-05-01,73,https://github.com/Nnamdi-sys/finalytics,A rust library for financial data analysis.,True,False,False,False,Nnamdi-sys/finalytics
Factor Weave,Python,"Python,TypeScript,R",Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-06-05,1,https://factorweave.com/,"Factor scores, similarity search, and leak-free + survivor-free forward-return labels across equities, ETFs, indices, FX, crypto, and futures; REST + MCP, Python/TypeScript/R SDKs, free tier. [GitHub](https://github.com/Blazing-Customs/factorweave-tools)",True,False,False,False,Blazing-Customs/factorweave-tools
Backtesting Arena,TypeScript,TypeScript,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-07-25,0,https://tradingstrategies.work/api,"REST + MCP API for point-in-time Bitcoin cycle scoring, 22 on-chain series since 2009 (MVRV, NUPL, SOPR, Mayer, Puell), macro-regime composites and look-ahead-aware backtest validation with Deflated-Sharpe-Ratio correction across crypto, stocks, ETFs, commodities and forex. Free tier. [GitHub](https://github.com/Schoasch/skill-backtesting-arena)",True,False,False,False,Schoasch/skill-backtesting-arena
Korean Market Data,Data,Data,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-08-14,0,https://github.com/james-brand/korea-market-data,"Daily foreign and institutional net flows for every KOSPI/KOSDAQ common stock plus all 44 KRX sector indices with returns and excess return vs market, in English CSV/JSON under CC BY 4.0 with a Zenodo DOI, rebuilt each trading day.",True,False,False,False,james-brand/korea-market-data
Korean Market Data,Data,Data,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-08-15,0,https://github.com/james-brand/korea-market-data,"Daily foreign and institutional net flows for every KOSPI/KOSDAQ common stock plus all 44 KRX sector indices with returns and excess return vs market, in English CSV/JSON under CC BY 4.0 with a Zenodo DOI, rebuilt each trading day.",True,False,False,False,james-brand/korea-market-data
AgentServices,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-08-13,1,https://agentservices.to,"x402-paid crypto and market data API platform: 54 services, 97 endpoints, 37 MCP tools. Real-time prices, technical indicators, on-chain data, and market intelligence with on-chain USDC payments on Base. [GitHub](https://github.com/vbkotecha/aiservices-api)",True,False,False,False,vbkotecha/aiservices-api
pmxt,Python,"Python,JavaScript",Prediction Markets,Prediction Markets,prediction-markets,2026-07-18,2082,https://github.com/pmxt-dev/pmxt,"The CCXT for prediction markets. A unified API for trading on Polymarket, Kalshi, and more.",True,False,False,False,pmxt-dev/pmxt
pmxt,Python,"Python,JavaScript",Prediction Markets,Prediction Markets,prediction-markets,2026-07-18,2083,https://github.com/pmxt-dev/pmxt,"The CCXT for prediction markets. A unified API for trading on Polymarket, Kalshi, and more.",True,False,False,False,pmxt-dev/pmxt
polymarket-whales,Python,Python,Prediction Markets,Prediction Markets,prediction-markets,2026-03-20,59,https://github.com/al1enjesus/polymarket-whales,Real-time whale trade tracker for Polymarket — terminal alerts + Telegram notifications when large orders hit the book.,True,False,False,False,al1enjesus/polymarket-whales
Polymarket Scanner API,Python,Python,Prediction Markets,Prediction Markets,prediction-markets,error,0,https://github.com/vesper-astrena/polymarket-scanner-api,"Real-time arbitrage detection API for Polymarket prediction markets, scanning 12,000+ markets for mispricings.",True,False,False,False,vesper-astrena/polymarket-scanner-api
SimpleFunctions,JavaScript,JavaScript,Prediction Markets,Prediction Markets,prediction-markets,error,0,https://github.com/spfunctions/simplefunctions-cli,"Prediction market intelligence CLI for Kalshi and Polymarket. Causal thesis models, edge detection, 24/7 orderbook monitoring, what-if scenarios, and trade execution. MCP server for AI agent integration.",True,False,False,False,spfunctions/simplefunctions-cli
@@ -538,7 +538,7 @@ QuantLib-Python Documentation,,,Cross-Language Frameworks,Cross-Language Framewo
TA-Lib,,,Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,2026-08-14,1656,https://ta-lib.org,perform technical analysis of financial market data. [GitHub](https://github.com/TA-Lib/ta-lib),True,False,False,False,TA-Lib/ta-lib
RunMat,,,Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,2026-08-05,248,https://github.com/runmat-org/runmat,Rust runtime for MATLAB-syntax array math with automatic CPU/GPU execution and fused kernels for quant simulations.,True,False,False,False,runmat-org/runmat
godzilla.dev,C++,"C++,Python",Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,2026-08-11,368,https://godzilla.dev,"Open-source framework for crypto quant trading, funding rate arbitrage and ultra-low-latency market making. [GitHub](https://github.com/godzilla-foundation/godzilla-community)",True,False,False,False,godzilla-foundation/godzilla-community
PineTS,TypeScript,"TypeScript,JavaScript,Pine Script",Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,2026-08-14,489,https://github.com/LuxAlgo/PineTS,"Open-source transpiler and runtime that executes Pine Script logic in Node.js and the browser with 1:1 syntax compatibility, for running indicators and strategies on your own infrastructure.",True,False,False,False,LuxAlgo/PineTS
PineTS,TypeScript,"TypeScript,JavaScript,Pine Script",Cross-Language Frameworks,Cross-Language Frameworks,cross-language-frameworks,2026-08-14,490,https://github.com/LuxAlgo/PineTS,"Open-source transpiler and runtime that executes Pine Script logic in Node.js and the browser with 1:1 syntax compatibility, for running indicators and strategies on your own infrastructure.",True,False,False,False,LuxAlgo/PineTS
Quant Sprint,Training,"Training,Interviews","Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,,0,https://lambdia.com/play,"Free timed drill of first round quant interview questions on options and the Greeks, two sided quoting, probability and mental arithmetic.",False,False,False,False,
Wyckoff Method Course,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,,0,https://arapov.trade/en/freestudying/wyckoff-method,"Free course on volume analysis and the Wyckoff method: market phases, spring/upthrust, order flow reading.",False,False,False,False,
Special-Relativity-in-Financial-Modeling,,,"Reproducing Works, Training & Books","Reproducing Works, Training & Books",reproducing-works-training-books,2026-03-23,12,https://github.com/Mattbusel/Special-Relativity-in-Financial-Modeling,"C++20 implementation of special-relativistic geometry applied to OHLCV data: Lorentz factors, spacetime intervals, Christoffel symbols, and geodesic deviation signals from live market data. DOI: 10.5281/zenodo.18639919.",True,False,False,False,Mattbusel/Special-Relativity-in-Financial-Modeling
@@ -642,7 +642,7 @@ AlphaAssay,REST,REST,Commercial & Proprietary Services,Commercial & Proprietary
Market Posture Daily,,,Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,,0,https://marketpd.com,"Daily trend, regime, momentum and relative-strength data for ~90 crypto assets and US stocks/ETFs, with a cointegration pair screener. Free terminal + JSON API.",False,False,False,True,
Honest Backtest,,,Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,,0,https://whop.com/honest-backtest,"Independent manual code audits of trading bots and their backtests: catches unmodeled commission/slippage, signal-vs-fill price drift, and other gaps between backtested and live results.",False,False,False,True,
StreamXLS,,,Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,,0,https://streamxls.com,"Commercial Excel RTD server for the Interactive Brokers TWS API, streaming market data, account values, positions, and orders into Excel formulas on Windows.",False,False,False,True,
AtlasYield,,,Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,2026-08-14,0,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
AtlasYield,,,Commercial & Proprietary Services,Commercial & Proprietary Services,commercial-proprietary-services,2026-08-15,0,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,
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
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 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 2026-08-14 2026-08-15 14921 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 2026-08-14 49536 49498 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 39355 39358 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 2026-08-13 2026-08-15 14867 https://www.sympy.org/ SymPy is a Python library for symbolic mathematics. [GitHub](https://github.com/sympy/sympy) True False False False sympy/sympy
9 pymc3 Python Python Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-08-13 9710 https://docs.pymc.io/ Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano. [GitHub](https://github.com/pymc-devs/pymc) True False False False pymc-devs/pymc
10 modelx Python Python Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-08-08 133 https://docs.modelx.io/ Python reimagination of spreadsheets as formula-centric objects that are interoperable with pandas. [GitHub](https://github.com/fumitoh/modelx) True False False False fumitoh/modelx
11 ArcticDB Python Python Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-08-14 2474 2475 https://github.com/man-group/ArcticDB High performance datastore for time series and tick data. True False False False man-group/ArcticDB
12 CRNG Python Python Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-04-12 8 https://github.com/brotto/crng Contingency Random Number Generator that produces random numbers with real financial market statistical signatures (fat tails, volatility clustering, kurtosis). Matches 86% of real market metrics vs 14% for NumPy. True False False False brotto/crng
13 xts R R Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-02-27 224 https://github.com/joshuaulrich/xts eXtensible Time Series: Provide for uniform handling of R's different time-based data classes by extending zoo, maximizing native format information preservation and allowing for user level customization and extension, while simplifying cross-class interoperability. True False False False joshuaulrich/xts
14 data.table R R Numerical Libraries & Data Structures Numerical Libraries & Data Structures numerical-libraries-data-structures 2026-08-10 3908 https://github.com/Rdatatable/data.table Extension of data.frame: Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns and a fast file reader (fread). Offers a natural and flexible syntax, for faster development. True False False False Rdatatable/data.table
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 2026-08-14 2026-08-15 43 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 1334 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 11998 12000 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 1630 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
152 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
153 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
154 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
155 Vibe-Trading Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-14 30858 30861 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
156 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
157 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
158 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
159 Investing algorithm framework Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-13 1664 1669 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
160 Lumibot Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-05 1924 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
161 QSTrader Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2024-06-24 3439 https://github.com/mhallsmoore/qstrader QSTrader backtesting simulation engine. True False False False mhallsmoore/qstrader
162 Blankly Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2024-12-30 2465 https://github.com/Blankly-Finance/Blankly Fully integrated backtesting, paper trading, and live deployment. True False False False Blankly-Finance/Blankly
195 jquantstats Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-14 42 https://github.com/Jebel-Quant/jquantstats Modern variation of quantstats, with additional features and performance improvements. True False False False Jebel-Quant/jquantstats
196 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
197 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
198 freqtrade Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-14 53275 53282 https://github.com/freqtrade/freqtrade Free, open source crypto trading bot. True False False False freqtrade/freqtrade
199 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
200 Qlib Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-07-23 47409 47413 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
201 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
202 machine-learning-for-trading Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-14 20445 20447 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
203 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
204 jesse Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-12 8317 https://github.com/jesse-ai/jesse An advanced crypto trading bot written in Python. True False False False jesse-ai/jesse
205 rqalpha Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-07-23 6693 6694 https://github.com/ricequant/rqalpha A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities. True False False False ricequant/rqalpha
206 FinRL-Library Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-07-12 16009 16010 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
207 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
208 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
209 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
213 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
214 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
215 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
216 vectorbt Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-02 8676 8677 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
217 Lean Python Python,C# Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-14 21211 21214 https://github.com/QuantConnect/Lean Lean Algorithmic Trading Engine by QuantConnect (Python, C#). True False False False QuantConnect/Lean
218 pysystemtrade Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-07-18 3435 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
219 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
220 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
222 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
223 hftbacktest Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2025-12-23 4359 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
224 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
225 vnpy Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-06 44467 44469 https://github.com/vnpy/vnpy VeighNa is a Python-based open source quantitative trading system development framework. True False False False vnpy/vnpy
226 Intelligent Trading Bot Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-11 1847 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
227 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
228 nautilus_trader Python Python,Rust Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-14 2026-08-15 25495 25498 https://github.com/nautechsystems/nautilus_trader A high-performance algorithmic trading platform and event-driven backtester. True False False False nautechsystems/nautilus_trader
229 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
230 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
231 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
250 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
251 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
252 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
253 ccxt JavaScript JavaScript,Python,PHP Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-14 43626 43628 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
254 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
255 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
256 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
263 PandoraTrader CPP CPP Trading & Backtesting Trading & Backtesting trading-backtesting 2025-07-29 1454 https://github.com/pegasusTrader/PandoraTrader A C++ CTP trading framework, with very clear logic. True False False False pegasusTrader/PandoraTrader
264 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
265 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
266 QuantConnect CSharp CSharp Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-14 21211 21214 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
267 StockSharp CSharp CSharp Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-14 10563 10565 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
268 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
269 Barter Rust Rust Trading & Backtesting Trading & Backtesting trading-backtesting 2026-05-09 2227 2228 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
270 LFEST Rust Rust Trading & Backtesting Trading & Backtesting trading-backtesting 2026-07-22 82 https://github.com/MathisWellmann/lfest-rs Simulated perpetual futures exchange to trade your strategy against. True False False False MathisWellmann/lfest-rs
271 Sextant Python Python Trading & Backtesting Trading & Backtesting trading-backtesting 2026-04-05 2 https://github.com/raphaub-hub/SEXTANT Local event-driven backtesting engine with no-code strategy builder and FRED vintage, ALFRED, yFinance support. True False False False raphaub-hub/SEXTANT
272 TradeClaw Node.js Node.js,TypeScript Trading & Backtesting Trading & Backtesting trading-backtesting 2026-08-11 40 https://github.com/naimkatiman/tradeclaw Open-source self-hosted AI trading signal platform. Generates buy/sell signals using RSI, MACD, EMA, Bollinger Bands for forex, crypto and commodities. Deployable via Docker Compose. ([Demo](https://tradeclaw.win/dashboard)) True False False False naimkatiman/tradeclaw
314 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
315 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
316 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
317 Ghostfolio JavaScript JavaScript Portfolio Optimization & Risk Analysis Portfolio Optimization & Risk Analysis portfolio-optimization-risk-analysis 2026-08-14 9126 9127 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
318 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
319 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
320 alphalens Python Python Factor Analysis Factor Analysis factor-analysis 2020-04-27 4414 https://github.com/quantopian/alphalens Performance analysis of predictive alpha factors. True False False False quantopian/alphalens
361 PineForge C++ C++ Time Series Analysis Time Series Analysis time-series-analysis 2026-08-13 172 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
362 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
363 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
364 OpenBB Terminal Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-07-20 71860 71863 https://github.com/OpenBB-finance/OpenBBTerminal Terminal for investment research for everyone. True False False False OpenBB-finance/OpenBBTerminal
365 Fincept Terminal Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-08-11 30225 30229 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
366 yfinance Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-08-13 24989 24990 https://github.com/ranaroussi/yfinance Yahoo! Finance market data downloader (+faster Pandas Datareader). True False False False ranaroussi/yfinance
367 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
368 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
369 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
431 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
432 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
433 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
434 alpha_vantage Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-07-26 4894 4895 https://github.com/RomelTorres/alpha_vantage A python wrapper for Alpha Vantage API for financial data. True False False False RomelTorres/alpha_vantage
435 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
436 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
437 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
483 finalytics Rust Rust Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-05-01 73 https://github.com/Nnamdi-sys/finalytics A rust library for financial data analysis. True False False False Nnamdi-sys/finalytics
484 Factor Weave Python Python,TypeScript,R Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-06-05 1 https://factorweave.com/ Factor scores, similarity search, and leak-free + survivor-free forward-return labels across equities, ETFs, indices, FX, crypto, and futures; REST + MCP, Python/TypeScript/R SDKs, free tier. [GitHub](https://github.com/Blazing-Customs/factorweave-tools) True False False False Blazing-Customs/factorweave-tools
485 Backtesting Arena TypeScript TypeScript Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-07-25 0 https://tradingstrategies.work/api REST + MCP API for point-in-time Bitcoin cycle scoring, 22 on-chain series since 2009 (MVRV, NUPL, SOPR, Mayer, Puell), macro-regime composites and look-ahead-aware backtest validation with Deflated-Sharpe-Ratio correction across crypto, stocks, ETFs, commodities and forex. Free tier. [GitHub](https://github.com/Schoasch/skill-backtesting-arena) True False False False Schoasch/skill-backtesting-arena
486 Korean Market Data Data Data Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-08-14 2026-08-15 0 https://github.com/james-brand/korea-market-data Daily foreign and institutional net flows for every KOSPI/KOSDAQ common stock plus all 44 KRX sector indices with returns and excess return vs market, in English CSV/JSON under CC BY 4.0 with a Zenodo DOI, rebuilt each trading day. True False False False james-brand/korea-market-data
487 AgentServices Python Python Market Data & Data Sources Market Data & Data Sources market-data-data-sources 2026-08-13 1 https://agentservices.to x402-paid crypto and market data API platform: 54 services, 97 endpoints, 37 MCP tools. Real-time prices, technical indicators, on-chain data, and market intelligence with on-chain USDC payments on Base. [GitHub](https://github.com/vbkotecha/aiservices-api) True False False False vbkotecha/aiservices-api
488 pmxt Python Python,JavaScript Prediction Markets Prediction Markets prediction-markets 2026-07-18 2082 2083 https://github.com/pmxt-dev/pmxt The CCXT for prediction markets. A unified API for trading on Polymarket, Kalshi, and more. True False False False pmxt-dev/pmxt
489 polymarket-whales Python Python Prediction Markets Prediction Markets prediction-markets 2026-03-20 59 https://github.com/al1enjesus/polymarket-whales Real-time whale trade tracker for Polymarket — terminal alerts + Telegram notifications when large orders hit the book. True False False False al1enjesus/polymarket-whales
490 Polymarket Scanner API Python Python Prediction Markets Prediction Markets prediction-markets error 0 https://github.com/vesper-astrena/polymarket-scanner-api Real-time arbitrage detection API for Polymarket prediction markets, scanning 12,000+ markets for mispricings. True False False False vesper-astrena/polymarket-scanner-api
491 SimpleFunctions JavaScript JavaScript Prediction Markets Prediction Markets prediction-markets error 0 https://github.com/spfunctions/simplefunctions-cli Prediction market intelligence CLI for Kalshi and Polymarket. Causal thesis models, edge detection, 24/7 orderbook monitoring, what-if scenarios, and trade execution. MCP server for AI agent integration. True False False False spfunctions/simplefunctions-cli
538 TA-Lib Cross-Language Frameworks Cross-Language Frameworks cross-language-frameworks 2026-08-14 1656 https://ta-lib.org perform technical analysis of financial market data. [GitHub](https://github.com/TA-Lib/ta-lib) True False False False TA-Lib/ta-lib
539 RunMat Cross-Language Frameworks Cross-Language Frameworks cross-language-frameworks 2026-08-05 248 https://github.com/runmat-org/runmat Rust runtime for MATLAB-syntax array math with automatic CPU/GPU execution and fused kernels for quant simulations. True False False False runmat-org/runmat
540 godzilla.dev C++ C++,Python Cross-Language Frameworks Cross-Language Frameworks cross-language-frameworks 2026-08-11 368 https://godzilla.dev Open-source framework for crypto quant trading, funding rate arbitrage and ultra-low-latency market making. [GitHub](https://github.com/godzilla-foundation/godzilla-community) True False False False godzilla-foundation/godzilla-community
541 PineTS TypeScript TypeScript,JavaScript,Pine Script Cross-Language Frameworks Cross-Language Frameworks cross-language-frameworks 2026-08-14 489 490 https://github.com/LuxAlgo/PineTS Open-source transpiler and runtime that executes Pine Script logic in Node.js and the browser with 1:1 syntax compatibility, for running indicators and strategies on your own infrastructure. True False False False LuxAlgo/PineTS
542 Quant Sprint Training Training,Interviews Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 0 https://lambdia.com/play Free timed drill of first round quant interview questions on options and the Greeks, two sided quoting, probability and mental arithmetic. False False False False
543 Wyckoff Method Course Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 0 https://arapov.trade/en/freestudying/wyckoff-method Free course on volume analysis and the Wyckoff method: market phases, spring/upthrust, order flow reading. False False False False
544 Special-Relativity-in-Financial-Modeling Reproducing Works, Training & Books Reproducing Works, Training & Books reproducing-works-training-books 2026-03-23 12 https://github.com/Mattbusel/Special-Relativity-in-Financial-Modeling C++20 implementation of special-relativistic geometry applied to OHLCV data: Lorentz factors, spacetime intervals, Christoffel symbols, and geodesic deviation signals from live market data. DOI: 10.5281/zenodo.18639919. True False False False Mattbusel/Special-Relativity-in-Financial-Modeling
642 Market Posture Daily Commercial & Proprietary Services Commercial & Proprietary Services commercial-proprietary-services 0 https://marketpd.com Daily trend, regime, momentum and relative-strength data for ~90 crypto assets and US stocks/ETFs, with a cointegration pair screener. Free terminal + JSON API. False False False True
643 Honest Backtest Commercial & Proprietary Services Commercial & Proprietary Services commercial-proprietary-services 0 https://whop.com/honest-backtest Independent manual code audits of trading bots and their backtests: catches unmodeled commission/slippage, signal-vs-fill price drift, and other gaps between backtested and live results. False False False True
644 StreamXLS Commercial & Proprietary Services Commercial & Proprietary Services commercial-proprietary-services 0 https://streamxls.com Commercial Excel RTD server for the Interactive Brokers TWS API, streaming market data, account values, positions, and orders into Excel formulas on Windows. False False False True
645 AtlasYield Commercial & Proprietary Services Commercial & Proprietary Services commercial-proprietary-services 2026-08-14 2026-08-15 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
646 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
647 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
648 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