Our verdict
We have not reviewed Katib yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About Katib
Katib is a Kubernetes-native automated machine learning (AutoML) system that manages hyperparameter tuning, neural architecture search, and early stopping. It runs experiments as Kubernetes jobs, leveraging custom resource definitions and a controller to orchestrate trial executions.
Best for
Teams already using Kubernetes and Kubeflow who need automated hyperparameter tuning
Use cases
- Hyperparameter optimization for models running on Kubernetes
- Neural architecture search integrated with Kubeflow pipelines
- Automated early stopping to reduce wasted compute in training jobs
Notes
1,685 stars on GitHub. Last updated 2026-05-29. Licensed Apache-2.0.
Pros
- Deep integration with the Kubernetes ecosystem and Kubeflow
- Supports multiple optimization algorithms out of the box
- Scalable to large clusters with parallel trial execution
Cons
- Requires significant Kubernetes expertise to deploy and operate
- Limited to Python-based ML workflows and Kubeflow stack
- Community-driven with slower release cadence than commercial alternatives
Key facts
What we have checked
- Latest version
- 0.19.0 (released 30 Oct 2025)
- GitHub stars
- 1,704
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How Katib is growing
1,685 to 1,704
Sources
Where this comes from
- GitHubOfficial
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
Released 0.19.0
Released 0.18.0
Released 0.18.0-rc.0
Released 0.17.0
Released 0.16.0
Released 0.15.0
Released 0.14.0
Released 0.14.0-rc.0
Released 0.13.0
Released 0.12.0
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
PyTorch
Community
Tensors and Dynamic neural networks in Python with strong GPU acceleration
scikit-learn
Community
scikit-learn: machine learning in Python
TensorFlow
Community
An Open Source Machine Learning Framework for Everyone
Get the free Developer’s Field Guide
A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.
Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.