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Stars gained: From Apr 26, 2026 to Nov 3, 2026, each from zeroStars gainedFrom Apr 26, 2026 to Nov 3, 2026, each from zero05KApr 26Nov 3, 2026microsoft/qlibfirmai/financial-machine-learning
Stars: The star count at the end of each dayStarsThe star count at the end of each day20K40KApr 26Nov 3, 2026microsoft/qlibfirmai/financial-machine-learning

Facts

Factmicrosoft/qlib

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

firmai/financial-machine-learning

A curated list of practical financial machine learning tools and applications.

Stars49,9758,833
Net stars, last 30 days+901+34
Largest star day+147 on Aug 16, 2026+20 on Jun 6, 2026
Milestone reached in the recordNoneNone
Forks7,8911,410
LanguagePythonPython
LicenseMITNo license
CreatedAug 14, 2020Mar 21, 2019
Last pushOct 30, 2026Jan 3, 2025
ArchivedNoNo
Health facts: Maintenance3 of 4 checks1 of 4 checks (2 without data)
Health facts: Releases3 of 3 checks0 of 3 checks (2 without data)
Health facts: Security practice1 of 1 check0 of 1 check (1 without data)
Health facts: Community files2 of 3 checks0 of 3 checks (2 without data)
Commits, last 13 weeks4No data
Weeks with commits, last 5217 of 52No data
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: quantitative-finance, finance, algorithmic-trading, investment, quant. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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