kitops-ml/kitops
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
This tool helps machine learning engineers and DevOps teams package, version, and share AI/ML models, datasets, code, and configurations consistently. It takes various project assets as input and produces a secure, versioned, and shareable "ModelKit" artifact, which can be stored in existing container registries. This is designed for professionals managing the lifecycle and deployment of AI/ML projects, especially in regulated or security-conscious environments.
1,313 stars. Actively maintained with 30 commits in the last 30 days.
Use this if you need a standardized, secure, and traceable way to manage and deploy your AI/ML models across development, staging, and production environments.
Not ideal if you are a data scientist primarily focused on experimentation and model training, and do not need to package or deploy models at scale.
Stars
1,313
Forks
170
Language
Go
License
Apache-2.0
Category
Last pushed
Mar 17, 2026
Commits (30d)
30
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