Made-With-ML satya00089 · PARTIAL
Learn how to design, develop, deploy and iterate on production-grade ML applications.
github.com/satya00089/Made-With-ML · ★ 0 · Forks 0 · Size 3.9 MB
SUMMARY
Technologies 16
Scored 13
Observed 13
Practices 6
Evidence 18
Skips 3
COVERAGE
Analyzed 52 files · 18 commits · 0 API calls
TECHNOLOGIES & DEPTH
Shell LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
10 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
9 files · PRODUCTION
Python LANGUAGE Depth 70
25 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
Black QUALITY Depth —
0 files · config only
FastAPI FRAMEWORK Depth 58
1 files · PRODUCTION
NumPy LIBRARY Depth 78
6 files · PRODUCTION, TEST
SQLAlchemy LIBRARY Depth —
0 files · config only
Starlette FRAMEWORK Depth 58
1 files · PRODUCTION
TypeScript LANGUAGE Depth 62
2 files · PRODUCTION
pandas LIBRARY Depth 70
3 files · PRODUCTION, TEST
pytest TESTING Depth 74
8 files · PRODUCTION, TEST
python-dotenv LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · absentlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2023-07-26
Last commit 2023-12-07
Active months 4
Commits 18