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Qlib

Microsoft's AI-oriented quant investment platform, from data to backtest to execution

By Microsoft

Live GitHub metrics

Live GitHub data · Oct 11, 2026
Stars
49,274
Stars · 7d
+163
Stars · 30d
+911
30d momentum
+1.9%
Forks
7,782
Open issues
489
Language
Python
Last push
3 days ago

Latest release v0.9.8 on Oct 8, 2026. Repository created Aug 14, 2020.

29.7k30.4k31.0kJun 14Oct 11
Cumulative GitHub stars, Jun 14, 2026 to Oct 11, 2026. Source: OSSInsight star history.

What it is

Qlib covers the full quant workflow: a fast data store, feature engineering, a model zoo of ML baselines, portfolio construction and backtesting. It is the substrate that RD-Agent's finance scenario builds on and a frequent reference implementation in academic papers.

In the maintainers' words: “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.”

Markets

  • China A-shares
  • US equities

Tags

  • Quant platform
  • Model zoo
  • Backtesting
  • #algorithmic-trading
  • #auto-quant
  • #deep-learning
  • #finance
  • #fintech
  • #investment
  • #machine-learning
  • #paper