fraudguard emanuellcs · COMPLETED
A Machine Learning system designed to detect fraudulent credit card transactions in real time.
github.com/emanuellcs/fraudguard · ★ 0 · Forks 0 · Size 323 KB
SUMMARY
Technologies 21
Scored 21
Observed 21
Practices 6
Evidence 21
Skips 0
COVERAGE
Analyzed 38 files · 14 commits · 0 API calls
TECHNOLOGIES & DEPTH
TypeScript LANGUAGE Depth 70
7 files · PRODUCTION
Dockerfile LANGUAGE Depth 70
2 files · PRODUCTION
JavaScript LANGUAGE Depth 70
2 files · PRODUCTION
JSON LANGUAGE Depth 70
2 files · PRODUCTION
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
3 files · PRODUCTION
Python LANGUAGE Depth 70
6 files · PRODUCTION
SQL LANGUAGE Depth 70
1 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
npm BUILD_TOOL Depth 80
1 files · CONFIGURATION
pnpm BUILD_TOOL Depth 80
1 files · CONFIGURATION
Axios LIBRARY Depth 43
1 files · PRODUCTION
ESLint QUALITY Depth 69
2 files · CONFIGURATION
FastAPI FRAMEWORK Depth 62
2 files · PRODUCTION
Next.js FRAMEWORK Depth 55
2 files · PRODUCTION
PostgreSQL DATABASE Depth 81
2 files · CONFIGURATION, PRODUCTION
Pydantic LIBRARY Depth 42
1 files · PRODUCTION
RabbitMQ MESSAGE_BROKER Depth 61
1 files · CONFIGURATION
React FRAMEWORK Depth 58
1 files · PRODUCTION
Redis CACHE Depth 61
1 files · CONFIGURATION
pandas LIBRARY Depth 49
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · observedlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-02-12
Last commit 2026-02-13
Active months 1
Commits 14