kubeflow/katib
Automated Machine Learning on Kubernetes
Supports hyperparameter tuning, neural architecture search, and early stopping across any ML framework and language via pluggable search algorithms (Bayesian optimization, TPE, CMA-ES, HyperBand, etc.). Integrates natively with Kubeflow Training Operator, Argo Workflows, and Tekton Pipelines through Kubernetes Custom Resources, allowing training jobs to run on any distributed compute backend. Provides a Python SDK for simplified experiment creation alongside REST/gRPC APIs for programmatic access.
1,666 stars. Actively maintained with 1 commit in the last 30 days.
Stars
1,666
Forks
515
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 10, 2026
Commits (30d)
1
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