Comparison
primehub vs awesome-AutoML
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.
Markdown twin · primehub alternatives · awesome-AutoML alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | primehub | awesome-AutoML |
|---|---|---|
| Maintenance | Slowing (201d since push) As of 2w · github_public_v1 | Slowing (133d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 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
- primehub
- open-source MLOps platform
- awesome-AutoML
- Curating AutoML research and resources
Stars
- primehub
- 410
- awesome-AutoML
- 941
Forks
- primehub
- 40
- awesome-AutoML
- 156
Open issues
- primehub
- 28
- awesome-AutoML
- 1
Language
- primehub
- Shell
- awesome-AutoML
- -
Adopt for
- primehub
- Suitable for teams needing an open-source MLOps platform with robust support for distributed systems and Docker environments.
- awesome-AutoML
- Curates AutoML research across neural architecture search, hyperparameter optimization, and meta-learning.
Persona
- primehub
- -
- awesome-AutoML
- -
Runtime
- primehub
- -
- awesome-AutoML
- -
License
- primehub
- Apache-2.0
- awesome-AutoML
- GPL-3.0
Last pushed
- primehub
- Jan 13, 2026
- awesome-AutoML
- Mar 24, 2026
Categories
- primehub
- Developer Tools, Model Training
- awesome-AutoML
- Model Training
Trust and health
Days since push
- primehub
- 201d
- awesome-AutoML
- 133d
Open issues (now)
- primehub
- 28
- awesome-AutoML
- 1
Owner type
- primehub
- Organization
- awesome-AutoML
- User
OSV dependency advisories
- primehub
- No published findings from this source as of 2026-07-11
- awesome-AutoML
- No lockfile (source not queried)
Full report
- primehub
- Trust report
- awesome-AutoML
- Trust report
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (myelintek/primehub) · observed Aug 3, 2026
- GitHub forks (myelintek/primehub) · observed Aug 3, 2026
- Last push (myelintek/primehub) · observed Jan 13, 2026
- License file (Apache-2.0) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (windmaple/awesome-AutoML) · observed Aug 4, 2026
- GitHub forks (windmaple/awesome-AutoML) · observed Aug 4, 2026
- Last push (windmaple/awesome-AutoML) · observed Mar 24, 2026
- License file (GPL-3.0) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: primehub 410 · awesome-AutoML 941 (synced Aug 3, 2026).
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 and awesome-AutoML alternatives (primehub markdown twin, awesome-AutoML 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, 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; awesome-AutoML trust report.