kedro patcon · PARTIAL
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
github.com/patcon/kedro · ★ 0 · Forks 0 · Size 237.6 MB
SUMMARY
Technologies 20
Scored 18
Observed 18
Practices 6
Evidence 21
Skips 2
COVERAGE
Analyzed 636 files · 4433 commits · 0 API calls
TECHNOLOGIES & DEPTH
Shell LANGUAGE Depth 70
3 files · PRODUCTION
JavaScript LANGUAGE Depth 70
3 files · PRODUCTION
JSON LANGUAGE Depth 70
5 files · PRODUCTION
Markdown LANGUAGE Depth 70
154 files · PRODUCTION
TOML LANGUAGE Depth 70
4 files · PRODUCTION
YAML LANGUAGE Depth 70
59 files · PRODUCTION
Python LANGUAGE Depth 70
169 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
Apache Kafka MESSAGE_BROKER Depth 65
1 files · CONFIGURATION
Click LIBRARY Depth 78
20 files · PRODUCTION, TEST
NumPy LIBRARY Depth 81
5 files · PRODUCTION, TEST
Prettier QUALITY Depth 61
1 files · CONFIGURATION
Redis CACHE Depth 69
2 files · CONFIGURATION, TOOLING
Requests LIBRARY Depth 66
2 files · PRODUCTION
TypeScript LANGUAGE Depth 66
2 files · PRODUCTION
mypy QUALITY Depth —
0 files · config only
pandas LIBRARY Depth 85
17 files · PRODUCTION, TEST
pytest TESTING Depth 81
53 files · PRODUCTION, TEST
typing_extensions LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · absentlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2019-05-16
Last commit 2025-07-24
Active months 75
Commits 4433