Comparison
awesome-mlops vs primehub
Verdict
Pick awesome-mlops if awesome MLOps is a curated list of tools encompassing AutoML to CI/CD for ML; pick primehub if suitable for teams needing an open-source MLOps platform with robust support for distributed systems and Docker environments.
Markdown twin · awesome-mlops alternatives · primehub alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | awesome-mlops | primehub |
|---|---|---|
| Maintenance | Slowing (97d since push) As of 2w · github_public_v1 | Slowing (201d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 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
- awesome-mlops
- A curated list of awesome MLOps tools.
- primehub
- open-source MLOps platform
Stars
- awesome-mlops
- 5.2k
- primehub
- 410
Forks
- awesome-mlops
- 762
- primehub
- 40
Open issues
- awesome-mlops
- 71
- primehub
- 28
Language
- awesome-mlops
- Python
- primehub
- Shell
Adopt for
- awesome-mlops
- Awesome MLOps is a curated list of tools encompassing AutoML to CI/CD for ML.
- primehub
- Suitable for teams needing an open-source MLOps platform with robust support for distributed systems and Docker environments.
Persona
- awesome-mlops
- -
- primehub
- -
Runtime
- awesome-mlops
- -
- primehub
- -
License
- awesome-mlops
- -
- primehub
- Apache-2.0
Last pushed
- awesome-mlops
- Apr 29, 2026
- primehub
- Jan 13, 2026
Categories
- awesome-mlops
- Developer Tools, Evaluation & Observability, Inference & Serving, Model Training
- primehub
- Developer Tools, Model Training
Trust and health
Days since push
- awesome-mlops
- 97d
- primehub
- 201d
Open issues (now)
- awesome-mlops
- 71
- primehub
- 28
Owner type
- awesome-mlops
- User
- primehub
- Organization
OSV dependency advisories
- awesome-mlops
- No lockfile (source not queried)
- primehub
- No published findings from this source as of 2026-07-11
Full report
- awesome-mlops
- Trust report
- primehub
- Trust report
Choose awesome-mlops if…
- awesome-mlops is primarily Python; primehub is Shell.
- Tags unique to awesome-mlops: ai, awesome, machine-learning-engineering, ml.
- Also covers Evaluation & Observability, Inference & Serving.
- You need resources across multiple facets of the machine-learning pipeline, from data validation to model serving.
When NOT to use awesome-mlops
- In search of a single comprehensive tool for end-to-end ML project management; Awesome MLOps is a repository of links rather than a standalone platform.
- Looking for proprietary solutions or detailed vendor-specific documentation as it focuses on broad, open-source offerings.
Choose primehub if…
- primehub is primarily Shell; awesome-mlops is Python.
- Tags unique to primehub: distributed-systems, docker, jupyter, jupyterhub.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (kelvins/awesome-mlops) · observed Aug 4, 2026
- GitHub forks (kelvins/awesome-mlops) · observed Aug 4, 2026
- Last push (kelvins/awesome-mlops) · observed Apr 29, 2026
- License file (unknown) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: awesome-mlops 5.2k · primehub 410 (synced Aug 4, 2026).
Common questions
- What is the difference between awesome-mlops and primehub?
- awesome-mlops: A curated list of awesome MLOps tools.. primehub: open-source MLOps platform. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-mlops over primehub?
- Choose awesome-mlops over primehub when awesome-mlops is primarily Python; primehub is Shell; Tags unique to awesome-mlops: ai, awesome, machine-learning-engineering, ml; Also covers Evaluation & Observability, Inference & Serving; You need resources across multiple facets of the machine-learning pipeline, from data validation to model serving.
- When should I choose primehub over awesome-mlops?
- Choose primehub over awesome-mlops when primehub is primarily Shell; awesome-mlops is Python; Tags unique to primehub: distributed-systems, docker, jupyter, jupyterhub; Utilize PrimeHub if your project requires integration of Kubernetes, as it supports orchestration within this framework.
- When should I avoid awesome-mlops?
- In search of a single comprehensive tool for end-to-end ML project management; Awesome MLOps is a repository of links rather than a standalone platform. Looking for proprietary solutions or detailed vendor-specific documentation as it focuses on broad, open-source offerings.
- 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 awesome-mlops or primehub more popular on GitHub?
- awesome-mlops has more GitHub stars (5,229 vs 410). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-mlops and primehub open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to awesome-mlops or primehub?
- GraphCanon lists graph-backed alternatives at awesome-mlops alternatives and primehub alternatives (awesome-mlops markdown twin, primehub 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, awesome-mlops or primehub?
- awesome-mlops: Slowing. 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 awesome-mlops and primehub?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-mlops trust report; primehub trust report.