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.
Provides layered, selective unpacking of AI artifacts stored natively in OCI registries, enabling teams to pull only needed components (model weights, datasets, etc.) rather than entire packages. Built on OCI standards with Cosign signing support, immutable SHA-256 digests, and transparent compatibility with both ModelKit and CNCF ModelPack formats. Integrates with CI/CD pipelines, container registries, HuggingFace, and Python workflows via the PyKitOps SDK for full lifecycle versioning from development through production deployment.
1,313 stars. Actively maintained with 37 commits in the last 30 days.
Stars
1,313
Forks
170
Language
Go
License
Apache-2.0
Category
Last pushed
Mar 17, 2026
Commits (30d)
37
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mlops/kitops-ml/kitops"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
mlflow/mlflow
The open source AI engineering platform. MLflow enables teams of all sizes to debug, evaluate,...
Tandemn-Labs/tandemn-tuna
A hybrid router that uses Spot GPU instances to reduce costs and Serverless GPUs for making Cold...
techiescamp/mlops-for-devops
MLOps for DevOps Engineers - A hands-on, project-based guide to Machine Learning Operations
aws-samples/mlops-e2e
MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK
tensorchord/envd
🏕️ Reproducible development environment for humans and agents