SwanLab kuishou68 · PARTIAL
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.
github.com/kuishou68/SwanLab · ★ 0 · Forks 0 · Size 47.8 MB
SUMMARY
Technologies 17
Scored 16
Observed 16
Practices 6
Evidence 18
Skips 1
COVERAGE
Analyzed 322 files · 948 commits · 0 API calls
TECHNOLOGIES & DEPTH
Shell LANGUAGE Depth 70
1 files · PRODUCTION
Go LANGUAGE Depth 70
14 files · PRODUCTION
JSON LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
9 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
7 files · PRODUCTION
Python LANGUAGE Depth 70
244 files · PRODUCTION
uv BUILD_TOOL Depth 80
1 files · CONFIGURATION
npm BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
AWS SDK CLOUD Depth —
0 files · config only
Click LIBRARY Depth 74
8 files · PRODUCTION
NumPy LIBRARY Depth 53
5 files · TEST
Pydantic LIBRARY Depth 78
8 files · PRODUCTION, TEST
Requests LIBRARY Depth 78
7 files · PRODUCTION, TEST
TypeScript LANGUAGE Depth 57
1 files · PRODUCTION
pytest TESTING Depth 74
42 files · PRODUCTION, TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · absentlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2023-11-24
Last commit 2026-04-22
Active months 30
Commits 948