distilabel strickvl · PARTIAL
Distilabel is a framework for synthetic data and AI feedback for AI engineers that require high-quality outputs, full data ownership, and overall efficiency
github.com/strickvl/distilabel · ★ 0 · Forks 0 · Size 36.2 MB
SUMMARY
Technologies 10
Scored 8
Observed 8
Practices 6
Evidence 11
Skips 2
COVERAGE
Analyzed 210 files · 686 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
11 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
5 files · PRODUCTION
Python LANGUAGE Depth 70
163 files · PRODUCTION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
Black QUALITY Depth —
0 files · config only
Jinja2 LIBRARY Depth 58
1 files · PRODUCTION
Ruff QUALITY Depth —
0 files · config only
pandas LIBRARY Depth 58
1 files · PRODUCTION
pytest TESTING Depth 53
13 files · TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · absentlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2023-10-16
Last commit 2024-03-20
Active months 6
Commits 686