evals AnuarRazii · PARTIAL
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
github.com/AnuarRazii/evals · ★ 1 · Forks 0 · Size 6.5 MB
SUMMARY
Technologies 22
Scored 19
Observed 19
Practices 6
Evidence 23
Skips 3
COVERAGE
Analyzed 1058 files · 689 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
3 files · PRODUCTION
Shell LANGUAGE Depth 70
30 files · PRODUCTION
JavaScript LANGUAGE Depth 70
3 files · PRODUCTION
JSON LANGUAGE Depth 70
10 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
42 files · PRODUCTION
YAML LANGUAGE Depth 70
527 files · PRODUCTION
Python LANGUAGE Depth 70
353 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
Flask FRAMEWORK Depth 62
2 files · PRODUCTION
MongoDB DATABASE Depth 48
1 files · CONFIGURATION
NumPy LIBRARY Depth 78
79 files · PRODUCTION, TEST
Playwright LIBRARY Depth 74
6 files · PRODUCTION
Pydantic LIBRARY Depth 74
7 files · PRODUCTION, TEST
Requests LIBRARY Depth 74
7 files · PRODUCTION
Ruff QUALITY Depth —
0 files · config only
TypeScript LANGUAGE Depth 66
3 files · PRODUCTION
mypy QUALITY Depth —
0 files · config only
pandas LIBRARY Depth 74
44 files · PRODUCTION
pytest TESTING Depth 57
18 files · TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · observedlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2023-03-14
Last commit 2025-11-03
Active months 18
Commits 689