--- title: "kubeflow vs primehub" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kubeflow-kubeflow-vs-myelintek-primehub" tools: ["kubeflow-kubeflow", "myelintek-primehub"] --- # kubeflow vs primehub *GraphCanon updated Aug 3, 2026* ## Verdict Pick kubeflow if kubeflow is an extensible machine learning toolkit for Kubernetes that provides modular and scalable components; pick primehub if suitable for teams needing an open-source MLOps platform with robust support for distributed systems and Docker environments. [kubeflow](https://www.kubeflow.org/) reports 16k GitHub stars, 2.7k forks, and 0 open issues, last pushed Jul 10, 2026. [primehub](https://docs.primehub.io) has 410 stars, 40 forks, and 28 open issues, last pushed Jan 13, 2026. Figures are from public GitHub metadata via [kubeflow's repository](https://github.com/kubeflow/kubeflow) and [primehub's repository](https://github.com/myelintek/primehub). | | [kubeflow](/tools/kubeflow-kubeflow.md) | [primehub](/tools/myelintek-primehub.md) | | --- | --- | --- | | Tagline | Machine Learning Toolkit for Kubernetes | open-source MLOps platform | | Stars | 15,805 | 410 | | Forks | 2,690 | 40 | | Open issues | 0 | 28 | | Language | - | Shell | | Adopt for | Kubeflow is an extensible machine learning toolkit for Kubernetes that provides modular and scalable components. | Suitable for teams needing an open-source MLOps platform with robust support for distributed systems and Docker environments. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Developer Tools, Model Training | Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [kubeflow](/tools/kubeflow-kubeflow.md) | [primehub](/tools/myelintek-primehub.md) | | --- | --- | --- | | Maintenance | Active (82%) | Slowing (36%) | | Days since push | 24d | 201d | | Open issues (now) | 0 | 28 | | Full report | [trust report](/tools/kubeflow-kubeflow/trust.md) | [trust report](/tools/myelintek-primehub/trust.md) | ## Decision facts: kubeflow - **Requirements:** Requires Docker; Requires familiarity with Kubernetes and its ecosystem.; Primarily licensed under Apache-2.0. - **Adopt for:** Kubeflow is an extensible machine learning toolkit for Kubernetes that provides modular and scalable components. ## Decision facts: primehub - **Adopt for:** Suitable for teams needing an open-source MLOps platform with robust support for distributed systems and Docker environments. ## Choose when ### 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, kubeflow. - When you are working on a Kubernetes-based platform and aim to streamline the process of deploying, scaling, and managing machine-learning workloads. ### Choose primehub if… - Tags unique to primehub: data-science, distributed-systems, docker, jupyterhub. - Utilize PrimeHub if your project requires integration of Kubernetes, as it supports orchestration within this framework. ## 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. ## When NOT to use primehub - Avoid if your project strictly mandates proprietary MLOps solutions over open-source alternatives. - Not appropriate for teams that do not operate within Docker environments, as significant customization might be required. ## Common questions ### What is the difference between kubeflow and primehub? kubeflow: Machine Learning Toolkit for Kubernetes. primehub: open-source MLOps platform. See the comparison table for live GitHub stats and shared categories. ### When should I choose kubeflow over primehub? Choose kubeflow over primehub when Requirements: Requires Docker; Requires familiarity with Kubernetes and its ecosystem.; Primarily licensed under Apache-2.0.; Tags unique to kubeflow: google-kubernetes-engine, kubeflow; 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 primehub over kubeflow? Choose primehub over kubeflow when Tags unique to primehub: data-science, distributed-systems, docker, jupyterhub; Utilize PrimeHub if your project requires integration of Kubernetes, as it supports orchestration within this framework. ### 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 primehub? Avoid if your project strictly mandates proprietary MLOps solutions over open-source alternatives. Not appropriate for teams that do not operate within Docker environments, as significant customization might be required. ### Is kubeflow or primehub more popular on GitHub? kubeflow has more GitHub stars (15,805 vs 410). Stars measure visibility, not whether either tool fits your constraints. ### Are kubeflow and primehub open source? Yes - both are open-source projects on GitHub (kubeflow: Apache-2.0, primehub: Apache-2.0). ### Where can I find alternatives to kubeflow or primehub? GraphCanon lists graph-backed alternatives at [kubeflow alternatives](/tools/kubeflow-kubeflow/alternatives) and [primehub alternatives](/tools/myelintek-primehub/alternatives) ([kubeflow markdown twin](/tools/kubeflow-kubeflow/alternatives.md), [primehub markdown twin](/tools/myelintek-primehub/alternatives.md)), 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](/compare/kubeflow-kubeflow-vs-myelintek-primehub.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, kubeflow or primehub? kubeflow: Active. primehub: Slowing. 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 primehub? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [kubeflow trust report](/tools/kubeflow-kubeflow/trust); [primehub trust report](/tools/myelintek-primehub/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kubeflow-kubeflow`](/api/graphcanon/graph?tool=kubeflow-kubeflow) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_