qlib hondrytravis · COMPLETED
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.
github.com/hondrytravis/qlib · ★ 0 · Forks 0 · Size 14.1 MB
SUMMARY
Technologies 12
Scored 12
Observed 12
Practices 6
Evidence 12
Skips 0
COVERAGE
Analyzed 400 files · 1554 commits · 0 API calls
TECHNOLOGIES & DEPTH
Shell LANGUAGE Depth 70
3 files · PRODUCTION
Markdown LANGUAGE Depth 70
33 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
48 files · PRODUCTION
Python LANGUAGE Depth 70
214 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 85
80 files · PRODUCTION, TEST
Redis CACHE Depth 58
1 files · PRODUCTION
Requests LIBRARY Depth 78
7 files · PRODUCTION
TypeScript LANGUAGE Depth 78
21 files · PRODUCTION
lxml LIBRARY Depth 62
2 files · PRODUCTION
pandas LIBRARY Depth 85
114 files · PRODUCTION, TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2020-08-14
Last commit 2021-10-19
Active months 15
Commits 1554