qlib
Qlib is an AI-oriented quantitative investment platform supporting multiple machine learning paradigms.
- Region
- Overseas
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 44.0k
- Views
- 8
- Source
- GitHub
- Added
- 2026-06-05
- Last verified
- 2026-06-05
Overview
Qlib is an AI-driven quantitative investment platform designed to empower quantitative research through AI technologies, from idea exploration to production deployment. It supports various machine learning paradigms including supervised learning, market dynamics modeling, and reinforcement learning, and integrates RD-Agent to automate the R&D process. The platform is suitable for researchers and developers aiming to leverage advanced AI techniques to enhance the efficiency of investment strategies.
Key features
- ▪Supports multiple machine learning paradigms
- ▪Integrated RD-Agent for automated R&D
- ▪Empowers the entire quantitative research workflow
- ▪Provides tools for quantitative factor mining
Use cases
Pros
- ＋Diverse machine learning support
- ＋Automated R&D workflow
- ＋Strong factor mining capabilities
- ＋Flexible application scenarios
Limitations / notes
- －Requires some programming background
- －Has certain hardware requirements
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
Which operating systems does Qlib support?
Qlib supports Linux, Windows, and macOS.
How do I use RD-Agent?
Visit the RD-Agent project page on GitHub for detailed information.
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