ChurnIQ jozef-javorsky-dodo · PARTIAL
Full-stack, ML-powered churn prediction app using FastAPI, React/TypeScript, and scikit-learn. Predicts churn probability with logistic regression and serves results via a REST API and interactive UI.
github.com/jozef-javorsky-dodo/ChurnIQ · ★ 0 · Forks 0 · Size 756 KB
SUMMARY
Technologies 16
Scored 15
Observed 15
Practices 6
Evidence 17
Skips 1
COVERAGE
Analyzed 30 files · 6 commits · 0 API calls
TECHNOLOGIES & DEPTH
TypeScript LANGUAGE Depth 70
6 files · PRODUCTION
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
JSON LANGUAGE Depth 70
4 files · PRODUCTION
Markdown LANGUAGE Depth 70
2 files · PRODUCTION
Python LANGUAGE Depth 70
2 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
npm BUILD_TOOL Depth 80
1 files · CONFIGURATION
ESLint QUALITY Depth 69
2 files · CONFIGURATION
FastAPI FRAMEWORK Depth 47
1 files · PRODUCTION
NumPy LIBRARY Depth 47
1 files · PRODUCTION
PostgreSQL DATABASE Depth 41
1 files · CONFIGURATION
Prettier QUALITY Depth 65
1 files · CONFIGURATION
Pydantic LIBRARY Depth 47
1 files · PRODUCTION
React FRAMEWORK Depth 66
3 files · PRODUCTION, TEST
Uvicorn LIBRARY Depth —
0 files · config only
pandas LIBRARY Depth 43
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · observedlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-04-22
Last commit 2026-05-06
Active months 3
Commits 6