STACKQUADRANT

kedro-org/kedro

AI DevOps

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.

8.2
GitHub Metrics
Stars
10.8k
Forks
1.0k
Open Issues
191
Watchers
100
Contributors
278
Weekly Commits
0
Language
Python
License
Apache-2.0
Last Commit
Apr 16, 2026
Created
Apr 18, 2019
Latest Release
1.3.1
Release Date
Apr 7, 2026
Synced: Apr 16, 2026
Quality Scores
Documentation Qualityw: 20%
8.5

Has docs site (https://kedro.org). Description: 210 chars. Stars signal: 10,828. Contributors: 278. Score: 8.5/10

Community Healthw: 20%
8.4

Stars: 10,828. Contributors: 278. Watchers: 100. Forks: 1,025. Issue ratio: 1.8%. Score: 8.4/10

Maintenance Velocityw: 15%
7.7

Last commit: 0d ago. Weekly commits: 0. Latest release: 1.3.1. Maturity bonus: 7.0y old. Score: 7.7/10

API Design & DXw: 20%
7.9

Stars/issues ratio: 57. Dynamic language: Python. Has documentation site. Permissive license: Apache-2.0. Popularity signal: 10,828 stars. Score: 7.9/10

Production Readinessw: 15%
8.3

Battle-tested: 10,828 stars. Peer review: 278 contributors. Versioned: 1.3.1. Licensed: Apache-2.0. Age: 7.0 years. Maintenance: last commit 0d ago. Score: 8.3/10

Ecosystem Integrationw: 10%
8.3

Fork interest: 1,025. Major ecosystem: Python. Integration-friendly: Apache-2.0. Adoption: 10,828 stars. Has web presence. Score: 8.3/10

Tags
experiment-trackinghacktoberfestkedromachine-learningmachine-learning-engineeringmlopspipelinepython
Radar
Documentation Quality
Community Health
Maintenance Velocity
API Design & DX
Production Readiness
Ecosystem Integration