Kubeflow
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Overview
HEALTH SCORE
Healthy
79out of 100
Solid maintainer coverage and development cadence. Security posture keeps the score from reaching Excellent.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Healthy(79/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 6 days.
Bus factor
55 active maintainers currently have merge rights.
Organization Diversity
Contributors span 174 organizations.
Archived repositories are excluded from Health Score.
Project Achievements
Leaderboards
About
Kubeflow project is an extendable Machine Learning (ML) platform made of multiple distinct components to address specific stages of the ML lifecycle, including: Mode Development, Model Training, Pipelines, and Multi-framework supports.
First commit
Software value
$454M
Maturity
Graduated
Tags
machine learning
kubernetes
mlops
data science
cloud native
License(s)
Apache-2.0
MIT
CC-BY-4.0
Data sources
GitHub
Git
Hacker News
Reddit