Kubernetes AI Toolchain Operator (KAITO)
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Overview
HEALTH SCORE
Fair
66out of 100
Development cadence drags the score down. Security posture and maintainer coverage help keep it from falling further.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Fair(66/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 8 days.
Bus factor
15 active maintainers currently have merge rights.
Organization Diversity
Contributors span 125 organizations.
Project Achievements
LeaderboardsAbout
The mission of the Project is to develop a cloud-native Kubernetes operator that automates the deployment of language models in a cluster across available CPU and GPU resources.
First commit
Software value
$16M
Maturity
Sandbox
Tags
ai
gpu
kubernetes
operator
License(s)
MIT
Apache-2.0
Other
Links
Data sources
Git
GitHub