What are the top Python finance libraries?

This page summarizes the projects mentioned and recommended in the original post on /r/quant

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  • quantstats

    Portfolio analytics for quants, written in Python

  • Quantstats for generating backtest reports: https://github.com/ranaroussi/quantstats

  • alphalens

    Performance analysis of predictive (alpha) stock factors

  • alphalens for factor analysis: https://github.com/quantopian/alphalens

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • Empyrial

    AI and data-driven quantitative portfolio management library for portfolio risk and performance analysis 投资组合管理

  • I created a python library called Trafalgar which has for goal to help to make quantitative and portfolio analysis. You can check it out here : https://github.com/ssantoshp/trafalgar

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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