Comparison
kubeflow vs metaflow
Verdict
Pick kubeflow if kubeflow is an extensible machine learning toolkit for Kubernetes that provides modular and scalable components; pick metaflow if metaflow is a comprehensive Python framework for building, managing, and deploying AI/ML systems that stands out with its support for distributed training, cost optimization, and seamless integration across various cloud.
Markdown twin · kubeflow alternatives · metaflow alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | kubeflow | metaflow |
|---|---|---|
| Maintenance | Active (24d since push) As of 2w · github_public_v1 | Very active (0d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 4w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- kubeflow
- Machine Learning Toolkit for Kubernetes
- metaflow
- Build, Manage and Deploy AI/ML Systems
Stars
- kubeflow
- 16k
- metaflow
- 10k
Forks
- kubeflow
- 2.7k
- metaflow
- 1.3k
Open issues
- kubeflow
- 0
- metaflow
- 472
Language
- kubeflow
- -
- metaflow
- Python
Adopt for
- kubeflow
- Kubeflow is an extensible machine learning toolkit for Kubernetes that provides modular and scalable components.
- metaflow
- Metaflow is a comprehensive Python framework for building, managing, and deploying AI/ML systems that stands out with its support for distributed training, cost optimization, and seamless integration across various cloud
Persona
- kubeflow
- -
- metaflow
- -
Runtime
- kubeflow
- -
- metaflow
- -
License
- kubeflow
- Apache-2.0
- metaflow
- Apache-2.0
Last pushed
- kubeflow
- Jul 10, 2026
- metaflow
- Jul 20, 2026
Categories
- kubeflow
- Developer Tools, Model Training
- metaflow
- Inference & Serving, Model Training
Trust and health
Maintenance
- kubeflow
- Active (82%)
- metaflow
- Very active (96%)
Days since push
- kubeflow
- 24d
- metaflow
- 0d
Open issues (now)
- kubeflow
- 0
- metaflow
- 472
Full report
- kubeflow
- Trust report
- metaflow
- Trust report
Choose kubeflow if…
- Requirements: Requires Docker; Requires familiarity with Kubernetes and its ecosystem.; Primarily licensed under Apache-2.0..
- Tags unique to kubeflow: google-kubernetes-engine, jupyter, kubeflow, kubernetes.
- Also covers Developer Tools.
- When you are working on a Kubernetes-based platform and aim to streamline the process of deploying, scaling, and managing machine-learning workloads.
When NOT to use kubeflow
- If your organization does not use or plan to leverage Kubernetes infrastructure in its operations as Kubeflow tightly integrates with it.
- When you seek a low-code solution for machine learning or have minimal Kubernetes expertise, as Kubeflow requires advanced Kubernetes skills and management capability.
Choose metaflow if…
- Tags unique to metaflow: agents, ai, aws, azure.
- Also covers Inference & Serving.
- - Your project requires scalable solutions that can extend to external compute clusters to handle complex ML tasks efficiently.
When NOT to use metaflow
- - If your team prefers working with a low-level infrastructure setup without integrated scaling and cost optimization tools.
- - When prioritizing lightweight frameworks that don't require external compute clusters or sophisticated orchestration services for deployment.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (kubeflow/kubeflow) · observed Aug 3, 2026
- GitHub forks (kubeflow/kubeflow) · observed Aug 3, 2026
- Last push (kubeflow/kubeflow) · observed Jul 10, 2026
- License file (Apache-2.0) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Netflix/metaflow) · observed Jul 21, 2026
- GitHub forks (Netflix/metaflow) · observed Jul 21, 2026
- Last push (Netflix/metaflow) · observed Jul 20, 2026
- License file (Apache-2.0) · observed Jul 21, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: kubeflow 16k · metaflow 10k (synced Aug 3, 2026).
Common questions
- What is the difference between kubeflow and metaflow?
- kubeflow: Machine Learning Toolkit for Kubernetes. metaflow: Build, Manage and Deploy AI/ML Systems. See the comparison table for live GitHub stats and shared categories.
- When should I choose kubeflow over metaflow?
- Choose kubeflow over metaflow when Requirements: Requires Docker; Requires familiarity with Kubernetes and its ecosystem.; Primarily licensed under Apache-2.0.; Tags unique to kubeflow: google-kubernetes-engine, jupyter, kubeflow, kubernetes; Also covers Developer Tools; When you are working on a Kubernetes-based platform and aim to streamline the process of deploying, scaling, and managing machine-learning workloads.
- When should I choose metaflow over kubeflow?
- Choose metaflow over kubeflow when Tags unique to metaflow: agents, ai, aws, azure; Also covers Inference & Serving; - Your project requires scalable solutions that can extend to external compute clusters to handle complex ML tasks efficiently.
- When should I avoid kubeflow?
- If your organization does not use or plan to leverage Kubernetes infrastructure in its operations as Kubeflow tightly integrates with it. When you seek a low-code solution for machine learning or have minimal Kubernetes expertise, as Kubeflow requires advanced Kubernetes skills and management capability.
- When should I avoid metaflow?
- - If your team prefers working with a low-level infrastructure setup without integrated scaling and cost optimization tools. - When prioritizing lightweight frameworks that don't require external compute clusters or sophisticated orchestration services for deployment.
- Is kubeflow or metaflow more popular on GitHub?
- kubeflow has more GitHub stars (15,805 vs 10,190). Stars measure visibility, not whether either tool fits your constraints.
- Are kubeflow and metaflow open source?
- Yes - both are open-source projects on GitHub (kubeflow: Apache-2.0, metaflow: Apache-2.0).
- Where can I find alternatives to kubeflow or metaflow?
- GraphCanon lists graph-backed alternatives at kubeflow alternatives and metaflow alternatives (kubeflow markdown twin, metaflow markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, kubeflow or metaflow?
- kubeflow: Active. metaflow: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for kubeflow and metaflow?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: kubeflow trust report; metaflow trust report.