--- title: "primehub vs awesome-AutoML" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/myelintek-primehub-vs-windmaple-awesome-automl" tools: ["myelintek-primehub", "windmaple-awesome-automl"] --- # primehub vs awesome-AutoML *GraphCanon updated Aug 4, 2026* ## Verdict Pick primehub if suitable for teams needing an open-source MLOps platform with robust support for distributed systems and Docker environments; pick awesome-AutoML if curates AutoML research across neural architecture search, hyperparameter optimization, and meta-learning. [primehub](https://docs.primehub.io) reports 410 GitHub stars, 40 forks, and 28 open issues, last pushed Jan 13, 2026. [awesome-AutoML](https://github.com/windmaple/awesome-AutoML) has 941 stars, 156 forks, and 1 open issues, last pushed Mar 24, 2026. Figures are from public GitHub metadata via [primehub's repository](https://github.com/myelintek/primehub) and [awesome-AutoML's repository](https://github.com/windmaple/awesome-AutoML). | | [primehub](/tools/myelintek-primehub.md) | [awesome-AutoML](/tools/windmaple-awesome-automl.md) | | --- | --- | --- | | Tagline | open-source MLOps platform | Curating AutoML research and resources | | Stars | 410 | 941 | | Forks | 40 | 156 | | Open issues | 28 | 1 | | Language | Shell | - | | Adopt for | Suitable for teams needing an open-source MLOps platform with robust support for distributed systems and Docker environments. | Curates AutoML research across neural architecture search, hyperparameter optimization, and meta-learning. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | GPL-3.0 | | Categories | Developer Tools, Model Training | Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [primehub](/tools/myelintek-primehub.md) | [awesome-AutoML](/tools/windmaple-awesome-automl.md) | | --- | --- | --- | | Days since push | 201d | 133d | | Open issues (now) | 28 | 1 | | Owner type | Organization | User | | Full report | [trust report](/tools/myelintek-primehub/trust.md) | [trust report](/tools/windmaple-awesome-automl/trust.md) | ## Decision facts: primehub - **Adopt for:** Suitable for teams needing an open-source MLOps platform with robust support for distributed systems and Docker environments. ## Decision facts: awesome-AutoML - **Adopt for:** Curates AutoML research across neural architecture search, hyperparameter optimization, and meta-learning. ## Choose when ### Choose primehub if… - License: primehub is Apache-2.0, awesome-AutoML is GPL-3.0. - Tags unique to primehub: data-science, distributed-systems, docker, jupyter. - Also covers Developer Tools. - Utilize PrimeHub if your project requires integration of Kubernetes, as it supports orchestration within this framework. ### Choose awesome-AutoML if… - License: awesome-AutoML is GPL-3.0, primehub is Apache-2.0. - Tags unique to awesome-AutoML: automl, hyperparameter-optimization, meta-learning, neural-architecture-search. - When seeking comprehensive resources on diverse AutoML topics from recent and impactful research. ## 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. ## When NOT to use awesome-AutoML - If looking for direct implementation advice as the repository focuses more on linking to resources rather than providing specific how-to guides. - When requiring real-time or interactive AutoML features, since it's a curation hub rather than an application tool. ## Common questions ### What is the difference between primehub and awesome-AutoML? primehub: open-source MLOps platform. awesome-AutoML: Curating AutoML research and resources. See the comparison table for live GitHub stats and shared categories. ### When should I choose primehub over awesome-AutoML? Choose primehub over awesome-AutoML when License: primehub is Apache-2.0, awesome-AutoML is GPL-3.0; Tags unique to primehub: data-science, distributed-systems, docker, jupyter; Also covers Developer Tools; Utilize PrimeHub if your project requires integration of Kubernetes, as it supports orchestration within this framework. ### When should I choose awesome-AutoML over primehub? Choose awesome-AutoML over primehub when License: awesome-AutoML is GPL-3.0, primehub is Apache-2.0; Tags unique to awesome-AutoML: automl, hyperparameter-optimization, meta-learning, neural-architecture-search; When seeking comprehensive resources on diverse AutoML topics from recent and impactful research. ### 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. ### When should I avoid awesome-AutoML? If looking for direct implementation advice as the repository focuses more on linking to resources rather than providing specific how-to guides. When requiring real-time or interactive AutoML features, since it's a curation hub rather than an application tool. ### Is primehub or awesome-AutoML more popular on GitHub? awesome-AutoML has more GitHub stars (941 vs 410). Stars measure visibility, not whether either tool fits your constraints. ### Are primehub and awesome-AutoML open source? Yes - both are open-source projects on GitHub (primehub: Apache-2.0, awesome-AutoML: GPL-3.0). ### Where can I find alternatives to primehub or awesome-AutoML? GraphCanon lists graph-backed alternatives at [primehub alternatives](/tools/myelintek-primehub/alternatives) and [awesome-AutoML alternatives](/tools/windmaple-awesome-automl/alternatives) ([primehub markdown twin](/tools/myelintek-primehub/alternatives.md), [awesome-AutoML markdown twin](/tools/windmaple-awesome-automl/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/myelintek-primehub-vs-windmaple-awesome-automl.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, primehub or awesome-AutoML? primehub: Slowing. awesome-AutoML: 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 primehub and awesome-AutoML? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [primehub trust report](/tools/myelintek-primehub/trust); [awesome-AutoML trust report](/tools/windmaple-awesome-automl/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=myelintek-primehub`](/api/graphcanon/graph?tool=myelintek-primehub) - 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/_