The-Premier-League-Oracle ThomasJButler · COMPLETED
For scientific research purposes only! This is a prediction tool and online hub coded with Python, Svelte, Typescript, PostgreSQL, Javascript to predict results in the Premier League, backed purely using data and smart analysis, rather than emotion. Designed to be used as a helpful tool and prevent 'headless betting'.
github.com/ThomasJButler/The-Premier-League-Oracle · ★ 0 · Forks 0 · Size 88.6 MB
SUMMARY
Technologies 24
Scored 24
Observed 24
Practices 6
Evidence 24
Skips 0
COVERAGE
Analyzed 230 files · 793 commits · 0 API calls
TECHNOLOGIES & DEPTH
TypeScript LANGUAGE Depth 70
87 files · PRODUCTION
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
JavaScript LANGUAGE Depth 70
4 files · PRODUCTION
JSON LANGUAGE Depth 70
6 files · PRODUCTION
Svelte LANGUAGE Depth 70
43 files · PRODUCTION
Markdown LANGUAGE Depth 70
18 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
3 files · PRODUCTION
Python LANGUAGE Depth 70
16 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
npm BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
ESLint QUALITY Depth 69
2 files · CONFIGURATION
FastAPI FRAMEWORK Depth 70
4 files · PRODUCTION, TEST
NumPy LIBRARY Depth 74
8 files · PRODUCTION, TEST
Playwright TESTING Depth 74
9 files · PRODUCTION, TEST
Pydantic LIBRARY Depth 58
1 files · PRODUCTION
Redis CACHE Depth 55
1 files · CONFIGURATION
Requests LIBRARY Depth 58
1 files · PRODUCTION
Uvicorn LIBRARY Depth 58
1 files · PRODUCTION
Vite BUILD_TOOL Depth 62
2 files · PRODUCTION
Vitest TESTING Depth 74
43 files · PRODUCTION, TEST
pandas LIBRARY Depth 74
10 files · PRODUCTION, TEST
pytest TESTING Depth 53
6 files · TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · observedlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-02-15
Last commit 2026-07-19
Active months 12
Commits 793