tf-recommender-lightweight-system Yonatankinfe · PARTIAL
A lightweight content-based recommendation system built with Python and TensorFlow/Keras, exposed via a simple REST API with automatic API key generation.
github.com/Yonatankinfe/tf-recommender-lightweight-system · ★ 1 · Forks 0 · Size 841 KB
SUMMARY
Technologies 16
Scored 8
Observed 8
Practices 6
Evidence 17
Skips 8
COVERAGE
Analyzed 20 files · 32 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
5 files · PRODUCTION
YAML LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
8 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Click LIBRARY Depth —
0 files · config only
FastAPI FRAMEWORK Depth 62
2 files · PRODUCTION
MarkupSafe LIBRARY Depth —
0 files · config only
NumPy LIBRARY Depth 66
3 files · PRODUCTION
Pydantic LIBRARY Depth —
0 files · config only
Requests LIBRARY Depth —
0 files · config only
Starlette FRAMEWORK Depth —
0 files · config only
Uvicorn LIBRARY Depth 58
1 files · PRODUCTION
Werkzeug LIBRARY Depth —
0 files · config only
pandas LIBRARY Depth 62
2 files · PRODUCTION
python-dotenv LIBRARY Depth —
0 files · config only
typing_extensions LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-04-29
Last commit 2025-06-19
Active months 3
Commits 32