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Repositories in this selection 8 · UTC 2026-11-05
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1—Oopenbq-org / OpenBBData platform for analysts, quantitative researchers, and AI agents.PythonNOASSERTION · Restricted / unknownInsufficient rank history75,0317,842——2026-11-02
2—Aakfamily / akshareAKShare is an elegant and simple financial data interface library for Python, built for human beings! Open source financial data interface libraryPythonMIT · PermissiveInsufficient rank history23,1783,563——2026-11-02
3—Hhackerkid / Mind-Expanding-Books:books: Find your next book to read!JavaScriptUnknown · Restricted / unknownInsufficient rank history14,4931,178——2024-11-09
4—Hhoochanlon / hamuleiteAuthor description: 🌊 Deeply integrates the world's top academic, financial and educational resources: the academic section gathers papers from authoritative platforms such as JSTOR, Taylor & Francis, Cambridge University Press, and accesses massive e-books from the Z-Library Shadow Library; the education section includes Hong Kong and Singapore primary school to high school and university subject textbooks; the financial section aggregates in-depth research reports from top institutions such as Citron, Morgan, and Nomura, just to break the information island and build a universal knowledge base for knowledge equality.Jupyter NotebookUnknown · Restricted / unknownInsufficient rank history10,0291,912——2026-10-28
5—Bbrycewang-stanford / Auto-Empirical-Research-Skills🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | A curated collection of 23,000+ AI Agent skills for empirical research across 8 social science disciplines. CoPaper.AI completes a reproducible and standardized empirical paper in 20 minutes, and supports users to upload Skills. -- Maintained by CoPaper.AI from Stanford REAP.StataNOASSERTION · Restricted / unknownInsufficient rank history4,901567——2026-11-02
6—Ppy-why / EconMLALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.Jupyter NotebookNOASSERTION · Restricted / unknownInsufficient rank history4,839834——2026-11-02
7—Aantontarasenko / awesome-economicsA curated collection of links for economistsUnknownUnknown · Restricted / unknownInsufficient rank history1,766246——2023-08-26
8—Ssrbrettle / Financial-Formulas-Library-.NET-StandardA collection of methods for solving Finance/Accounting equations, implemented in C#.C#MIT · PermissiveInsufficient rank history27171——2024-03-16
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