Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Financial Machine Learning | 5,277 | 3 months ago | 5 | Python | ||||||
A curated list of practical financial machine learning tools and applications. | ||||||||||
Pyportfolioopt | 3,936 | 2 | 10 | 3 months ago | 41 | May 22, 2022 | 50 | mit | Jupyter Notebook | |
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity | ||||||||||
Quantstats | 3,932 | 26 | 3 months ago | 62 | July 05, 2022 | 77 | apache-2.0 | Python | ||
Portfolio analytics for quants, written in Python | ||||||||||
Mlfinlab | 3,567 | 2 | 4 | 7 months ago | 55 | August 18, 2021 | 36 | other | Python | |
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools. | ||||||||||
Riskfolio Lib | 2,508 | 5 | 3 months ago | 43 | October 04, 2023 | bsd-3-clause | C++ | |||
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python | ||||||||||
Stock_analysis_for_quant | 1,483 | 3 months ago | 1 | mit | Jupyter Notebook | |||||
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau | ||||||||||
Quantresearch | 1,410 | 8 months ago | mit | Jupyter Notebook | ||||||
Quantitative analysis, strategies and backtests | ||||||||||
Machine Learning Asset Management | 1,159 | 2 years ago | 2 | Jupyter Notebook | ||||||
Machine Learning in Asset Management (by @firmai) | ||||||||||
Skfolio | 699 | 3 months ago | 7 | bsd-3-clause | Python | |||||
Python library for portfolio optimization built on top of scikit-learn | ||||||||||
Open Quant Live Book | 278 | 3 years ago | 4 | other | TeX | |||||
An open source, hands-on and fully reproducible book in quantitative finance, data science and econophysics. Join us and help Make Wall Street Great Again! |