mlops-fraud-detection jmac052002 · PARTIAL
End-to-end MLOps pipeline on AWS that automatically trains, evaluates, deploys, and monitors a fraud detection model fully defined in Infrastructure as Code.
github.com/jmac052002/mlops-fraud-detection · ★ 3 · Forks 0 · Size 418 KB
SUMMARY
Technologies 29
Scored 10
Observed 10
Practices 6
Evidence 30
Skips 19
COVERAGE
Analyzed 36 files · 44 commits · 0 API calls
TECHNOLOGIES & DEPTH
Shell LANGUAGE Depth 70
1 files · PRODUCTION
JSON LANGUAGE Depth 70
3 files · PRODUCTION
Markdown LANGUAGE Depth 70
9 files · PRODUCTION
YAML LANGUAGE Depth 70
5 files · PRODUCTION
Python LANGUAGE Depth 70
13 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
AWS SDK CLOUD Depth 70
4 files · PRODUCTION
Alembic DATABASE Depth —
0 files · config only
Blinker LIBRARY Depth —
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Click LIBRARY Depth —
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FastAPI FRAMEWORK Depth —
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Flask FRAMEWORK Depth —
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Gunicorn LIBRARY Depth —
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HTTPX LIBRARY Depth —
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Jinja2 LIBRARY Depth —
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MarkupSafe LIBRARY Depth —
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NumPy LIBRARY Depth 70
4 files · PRODUCTION
Pydantic LIBRARY Depth —
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RabbitMQ MESSAGE_BROKER Depth 65
1 files · CONFIGURATION
Requests LIBRARY Depth —
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SQLAlchemy LIBRARY Depth —
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Starlette FRAMEWORK Depth —
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Uvicorn LIBRARY Depth —
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Werkzeug LIBRARY Depth —
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itsdangerous LIBRARY Depth —
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pandas LIBRARY Depth 66
3 files · PRODUCTION
pytest TESTING Depth —
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python-dotenv LIBRARY Depth —
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typing_extensions LIBRARY Depth —
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PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-02-24
Last commit 2026-07-20
Active months 3
Commits 44