real-time-fraud-detection Ahmedelgaafary · PARTIAL
Real-time fraud and anomaly detection platform using XGBoost, autoencoders, SHAP explainability, and MLOps with low-latency FastAPI streaming inference.
github.com/Ahmedelgaafary/real-time-fraud-detection · ★ 0 · Forks 0 · Size 39 KB
SUMMARY
Technologies 17
Scored 11
Observed 11
Practices 6
Evidence 19
Skips 6
COVERAGE
Analyzed 87 files · 7 commits · 0 API calls
TECHNOLOGIES & DEPTH
TOML LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
2 files · PRODUCTION
YAML LANGUAGE Depth 70
6 files · PRODUCTION
Python LANGUAGE Depth 70
66 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
Apache Kafka MESSAGE_BROKER Depth 69
3 files · CONFIGURATION
FastAPI FRAMEWORK Depth —
0 files · config only
HTTPX LIBRARY Depth —
0 files · config only
NumPy LIBRARY Depth 78
6 files · PRODUCTION, TEST
Pydantic LIBRARY Depth —
0 files · config only
Redis CACHE Depth 69
3 files · CONFIGURATION
Ruff QUALITY Depth —
0 files · config only
Uvicorn LIBRARY Depth —
0 files · config only
mypy QUALITY Depth —
0 files · config only
pandas LIBRARY Depth 81
17 files · PRODUCTION, TEST
pytest TESTING Depth 53
8 files · TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · observedlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-08-24
Last commit 2026-08-26
Active months 1
Commits 7