qlib fatwang2 · PARTIAL
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.
github.com/fatwang2/qlib · ★ 0 · Forks 0 · Size 17.3 MB
SUMMARY
Technologies 18
Scored 16
Observed 16
Practices 6
Evidence 19
Skips 2
COVERAGE
Analyzed 615 files · 2031 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
Shell LANGUAGE Depth 70
4 files · PRODUCTION
TOML LANGUAGE Depth 70
2 files · PRODUCTION
Markdown LANGUAGE Depth 70
62 files · PRODUCTION
YAML LANGUAGE Depth 70
83 files · PRODUCTION
Python LANGUAGE Depth 70
329 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
Black QUALITY Depth —
0 files · config only
Jinja2 LIBRARY Depth 58
1 files · PRODUCTION
MongoDB DATABASE Depth 61
1 files · CONFIGURATION
NumPy LIBRARY Depth 85
129 files · PRODUCTION, TEST
Redis CACHE Depth 88
3 files · CONFIGURATION, PRODUCTION
Requests LIBRARY Depth 78
7 files · PRODUCTION
TypeScript LANGUAGE Depth 78
28 files · PRODUCTION
mypy QUALITY Depth —
0 files · config only
pandas LIBRARY Depth 85
171 files · PRODUCTION, TEST
pytest TESTING Depth 53
9 files · TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · observedlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2020-08-14
Last commit 2025-07-01
Active months 55
Commits 2031