PyTorchFastAPISession Anindyadeep · PARTIAL
This is the official repository for tutorial session Deploying ML Powered applications using FastAPI and Docker
github.com/Anindyadeep/PyTorchFastAPISession · ★ 3 · Forks 1 · Size 1.6 MB
SUMMARY
Technologies 12
Scored 9
Observed 9
Practices 6
Evidence 13
Skips 3
COVERAGE
Analyzed 19 files · 6 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
Shell LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
6 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
FastAPI FRAMEWORK Depth 62
2 files · PRODUCTION
Gunicorn LIBRARY Depth —
0 files · config only
NumPy LIBRARY Depth 58
1 files · PRODUCTION
Pydantic LIBRARY Depth 49
1 files · PRODUCTION
Uvicorn LIBRARY Depth 58
1 files · PRODUCTION
pandas LIBRARY Depth —
0 files · config only
pytest TESTING Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · observedlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2023-01-21
Last commit 2023-01-21
Active months 1
Commits 6