Kubeflow
kubeflow.org
Open-source machine learning toolkit for Kubernetes.
Quick Information
- Category:
- MLOps & Infrastructure
- Pricing:
- Free
- Platforms:
- Kubernetes, Python
- Free Plan:
- Yes
- API Available:
- Yes
- Last Verified:
- October 2026
What Is Kubeflow?
Kubeflow is an open-source machine learning toolkit for Kubernetes, free to use under the Apache 2.0 licence. Its latest release line is calendar-versioned: the Kubeflow Community Distribution 26.03.1 announcement, dated April 11, 2026, says release versioning is now Year.Month.Patch, the GitHub release page marks 26.03.1 as the latest, and Wikipedia gives a stable release of 26.03 dated March 22, 2026. One docs page's June 15, 2026 date and 116-days-ago age stamp do not line up with each other. A CNCF post from July 28, 2026 describes the project as advancing toward CNCF graduation, a later third-party analysis says the CNCF graduated Kubeflow on August 17, 2026 with effect from July 24, and Wikipedia still describes it as incubating from 2023, so confirm graduation against CNCF's own records. Kubeflow Notebooks v2 is in alpha. A Tech Daily Shot article on Kubeflow v3.0 dates that release to June 2024, which I could not verify, so I left it out.
The results did not address managed-distribution pricing. Only one mentions commercial support from multiple vendors, with no prices, so any cost comes from running Kubernetes yourself or buying a vendor distribution or cloud managed offering, which needs a separate check of vendor pages. Self-hosting trades licence fees for platform engineering effort, so factor in cluster, storage and staff time.
Kubeflow suits platform and ML engineering teams already on Kubernetes that want pipelines, notebooks, training operators and serving in one open stack. Smaller teams may prefer a simpler tool. Compare ZenML, Metaflow and KServe. Browse the MLOps & Infrastructure tools directory for more.
What Can You Use Kubeflow For?
ML pipelines on Kubernetes
Orchestration.
Notebooks, training and serving
Integrated toolkit.
Kubeflow Features
- Calendar versioning — 26.03.1 latest.
- CNCF graduation — Reported August 2026; confirm.
- Notebooks v2 alpha — In testing.
Who Is Kubeflow For?
- Platform engineers — Kubernetes-native.
- Large ML teams — Standardised stack.
Kubeflow Pros & Limitations
What We Like
- Free and open source
- Kubernetes-native
- Large community
Limitations
- Needs Kubernetes expertise
- Managed pricing not found
- Graduation claim from a third party
Kubeflow Pricing
| Plan | Price | Main Features |
|---|---|---|
| Open source | Free (Apache 2.0) | Self-managed on Kubernetes |
| Managed distributions | Not covered in these results | Commercial support from multiple vendors; check vendors |
Pricing was last verified October 2026. Check the official website for the latest pricing.
AI Listing Jungle Ranking
- Global Rank:
- #1377
- Overall Score:
- 12.9/100
- Monthly Users:
- –
- Rank Change:
- ▲ 158
This ranking reflects AI Listing Jungle's own independent scoring methodology and is not an endorsement by Kubeflow or its company. How Our Rankings Work
Frequently Asked Questions
Is Kubeflow free?
Yes, Apache 2.0.
What is the latest version?
26.03.1 of the Community Distribution.
Has it graduated from CNCF?
One analysis says August 2026; confirm with CNCF.
Is there managed Kubeflow?
Via vendors; pricing not covered here.
Our Take
Kubeflow is the open standard for ML on Kubernetes.
Expect engineering effort.
Kubeflow Alternatives
Kubeflow Comparisons
Ready to try Kubeflow?
Visit the official website to get started.
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