--- title: "mlrun vs primehub" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mlrun-mlrun-vs-myelintek-primehub" tools: ["mlrun-mlrun", "myelintek-primehub"] --- # mlrun vs primehub *GraphCanon updated Aug 3, 2026* ## Verdict Pick mlrun if mLRun: Open-source MLOps platform for rapid ML application development integrated into CI/CD pipelines using Python; pick primehub if suitable for teams needing an open-source MLOps platform with robust support for distributed systems and Docker environments. [mlrun](https://mlrun.org) reports 1.7k GitHub stars, 315 forks, and 110 open issues, last pushed Aug 2, 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 [mlrun's repository](https://github.com/mlrun/mlrun) and [primehub's repository](https://github.com/myelintek/primehub). | | [mlrun](/tools/mlrun-mlrun.md) | [primehub](/tools/myelintek-primehub.md) | | --- | --- | --- | | Tagline | MLOps Platform for Building and Managing Continuous ML Applications | open-source MLOps platform | | Stars | 1,690 | 410 | | Forks | 315 | 40 | | Open issues | 110 | 28 | | Language | Python | Shell | | Adopt for | MLRun: Open-source MLOps platform for rapid ML application development integrated into CI/CD pipelines using Python. | 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, Inference & Serving, Model Training | Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [mlrun](/tools/mlrun-mlrun.md) | [primehub](/tools/myelintek-primehub.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 201d | | Open issues (now) | 110 | 28 | | Full report | [trust report](/tools/mlrun-mlrun/trust.md) | [trust report](/tools/myelintek-primehub/trust.md) | ## Decision facts: mlrun - **Adopt for:** MLRun: Open-source MLOps platform for rapid ML application development integrated into CI/CD pipelines using Python. ## 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 mlrun if… - mlrun is primarily Python; primehub is Shell. - Tags unique to mlrun: ci-cd, machine learning pipelines, mlops, serverless functions. - Also covers Inference & Serving. - Requires seamless integration of ML workflows into existing CI/CD environments ### Choose primehub if… - primehub is primarily Shell; mlrun is Python. - Tags unique to primehub: data-science, distributed-systems, docker, jupyter. - Utilize PrimeHub if your project requires integration of Kubernetes, as it supports orchestration within this framework. ## When NOT to use mlrun - Lacks requirement for serverless function deployment with auto-scaling capabilities - CI/CD integration is not a priority or already fully catered to by alternative tools ## 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 mlrun and primehub? mlrun: MLOps Platform for Building and Managing Continuous ML Applications. primehub: open-source MLOps platform. See the comparison table for live GitHub stats and shared categories. ### When should I choose mlrun over primehub? Choose mlrun over primehub when mlrun is primarily Python; primehub is Shell; Tags unique to mlrun: ci-cd, machine learning pipelines, mlops, serverless functions; Also covers Inference & Serving; Requires seamless integration of ML workflows into existing CI/CD environments. ### When should I choose primehub over mlrun? Choose primehub over mlrun when primehub is primarily Shell; mlrun is Python; Tags unique to primehub: data-science, distributed-systems, docker, jupyter; Utilize PrimeHub if your project requires integration of Kubernetes, as it supports orchestration within this framework. ### When should I avoid mlrun? Lacks requirement for serverless function deployment with auto-scaling capabilities CI/CD integration is not a priority or already fully catered to by alternative tools ### 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 mlrun or primehub more popular on GitHub? mlrun has more GitHub stars (1,690 vs 410). Stars measure visibility, not whether either tool fits your constraints. ### Are mlrun and primehub open source? Yes - both are open-source projects on GitHub (mlrun: Apache-2.0, primehub: Apache-2.0). ### Where can I find alternatives to mlrun or primehub? GraphCanon lists graph-backed alternatives at [mlrun alternatives](/tools/mlrun-mlrun/alternatives) and [primehub alternatives](/tools/myelintek-primehub/alternatives) ([mlrun markdown twin](/tools/mlrun-mlrun/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/mlrun-mlrun-vs-myelintek-primehub.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, mlrun or primehub? mlrun: Very 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 mlrun and primehub? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [mlrun trust report](/tools/mlrun-mlrun/trust); [primehub trust report](/tools/myelintek-primehub/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mlrun-mlrun`](/api/graphcanon/graph?tool=mlrun-mlrun) - 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/_