sagemaker-python-sdk Mattral · COMPLETED
A library for training and deploying machine learning models on Amazon SageMaker.
github.com/Mattral/sagemaker-python-sdk · ★ 2 · Forks 0 · Size 172.8 MB
SUMMARY
Technologies 20
Scored 20
Observed 20
Practices 6
Evidence 21
Skips 0
COVERAGE
Analyzed 1644 files · 4523 commits · 0 API calls
TECHNOLOGIES & DEPTH
Shell LANGUAGE Depth 70
2 files · PRODUCTION
JavaScript LANGUAGE Depth 70
1 files · PRODUCTION
JSON LANGUAGE Depth 70
126 files · PRODUCTION
Markdown LANGUAGE Depth 70
21 files · PRODUCTION
TOML LANGUAGE Depth 70
6 files · PRODUCTION
YAML LANGUAGE Depth 70
28 files · PRODUCTION
Python LANGUAGE Depth 70
1264 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
AWS SDK CLOUD Depth 100
114 files · CONFIGURATION, PRODUCTION, TEST
FastAPI FRAMEWORK Depth 58
1 files · PRODUCTION
Jinja2 LIBRARY Depth 70
4 files · PRODUCTION, TEST
Laravel Pint QUALITY Depth 58
1 files · PRODUCTION
NumPy LIBRARY Depth 85
28 files · PRODUCTION, TEST
Pydantic LIBRARY Depth 85
36 files · PRODUCTION, TEST
Requests LIBRARY Depth 81
18 files · PRODUCTION, TEST
TypeScript LANGUAGE Depth 85
15 files · PRODUCTION
Uvicorn LIBRARY Depth 58
1 files · PRODUCTION
pandas LIBRARY Depth 85
36 files · PRODUCTION, TEST
pytest TESTING Depth 100
390 files · CONFIGURATION, PRODUCTION, TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · absentlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2017-11-30
Last commit 2026-09-04
Active months 104
Commits 4523