Kubeflow

Kubeflow provides a machine learning toolkit for deploying workflows on Kubernetes.

github.com/kubeflow/kubeflow
Kubeflow homepage screenshot

About Kubeflow

Kubeflow is an open source Cloud Native AI platform made of modular projects that form a Kubernetes-native stack for data and AI workloads. It supports data, AI/ML, and HPC use cases, including models, agents, and AI applications across the AI lifecycle.

This GitHub repository serves primarily as a gateway to Kubeflow subprojects and shared project metadata; development happens in the individual subproject repositories.

Key features

  • Modular open source projects for Kubernetes-native data and AI workloads
  • Use the same code on laptop, on-premises, or any cloud
  • Manage hyperscale training jobs and high-throughput AI agents
  • Mix and match tools across the AI lifecycle
  • Support for data, AI/ML, and HPC use cases
  • Deliver models, agents, and AI applications into production
Best for: AI practitioners, platform administrators, and decision-makers working with data and AI workloads on Kubernetes.
Good for
  • Open source under Apache-2.0 license
  • Portable across local laptop, on-premises, and any cloud
  • Community-led project maintained by working groups and committees
Watch out for
  • This repository is mainly a gateway; development happens in separate subproject repositories.

Kubeflow at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Yes · Source code
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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Kubeflow FAQ

What is Kubeflow?
The Cloud Native AI platform composed of modular, open source projects forming a Kubernetes-native stack for data and AI workloads.
Where does Kubeflow development take place?
In the individual subproject repositories; this repository serves as a gateway and shared project metadata.
What license does Kubeflow use?
Apache-2.0 license.
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