production-vlm-engineering Mattral · PARTIAL
Reproducible, production-grade pipelines for modern multimodal vision systems. Efficient VLM adaptation · Embedding-space drift detection · Edge inference · Robustness & safety
github.com/Mattral/production-vlm-engineering · ★ 58 · Forks 0 · Size 843 KB
SUMMARY
Technologies 14
Scored 12
Observed 12
Practices 6
Evidence 15
Skips 2
COVERAGE
Analyzed 183 files · 222 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
77 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
8 files · PRODUCTION
Python LANGUAGE Depth 70
75 files · PRODUCTION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
FastAPI FRAMEWORK Depth 58
1 files · PRODUCTION
NumPy LIBRARY Depth 85
45 files · PRODUCTION, TEST
Pydantic LIBRARY Depth 58
1 files · PRODUCTION
Ruff QUALITY Depth —
0 files · config only
TypeScript LANGUAGE Depth 58
1 files · PRODUCTION
Uvicorn LIBRARY Depth —
0 files · config only
pandas LIBRARY Depth 66
3 files · PRODUCTION
pytest TESTING Depth 53
6 files · TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · observedlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2023-10-22
Last commit 2026-08-18
Active months 10
Commits 222