KitOps
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Overview
HEALTH SCORE
Healthy
75out 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(75/100)
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, but most repositories have response times over 90 days.
Bus factor
10 active maintainers currently have merge rights.
Organization Diversity
Contributors span 95 organizations.
Project Achievements
Leaderboards
About
KitOps is an open-source packaging and versioning solution for AI/ML projects, designed for enterprise speed, security, and consistency in cloud-native environments. By offering an OCI artifact called ModelKit, KitOps leverages the widely adopted OCI standard to ensure seamless integration with existing tools and infrastructures. This enables organizations to manage, secure, and audit AI/ML projects effectively. KitOps has already been downloaded tens of thousands of times and is in use in private and public sector organizations.
First commit
Software value
$1.1M
Maturity
Sandbox
Tags
machine-learning
model-packaging
mlops
artifact-management
model-deployment
License(s)
Apache-2.0
Links
Data sources
Git
GitHub