GraphCanon updated Sep 29, 2026 · GitHub synced Sep 29, 2026
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Decision brief
Suitable for teams needing an open-source MLOps platform with robust support for distributed systems and Docker environments.
Good fit when
- Utilize PrimeHub if your project requires integration of Kubernetes, as it supports orchestration within this framework.
- Choose this tool when Jupyter or JupyterHub integration is a requirement for data science tasks within your operations.
Avoid when
- 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.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (258d since push)
- As of Sep 29, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 29, 2026
- Security (OSV)
- No criticals
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/myelintek/primehubSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
An open-source platform focusing on Machine Learning Operations with support for distributed systems and Docker environments.
Capability facts
- Languages
- shell
Source: github.language · Sep 29, 2026
Categories
Tags
README
Installation Please see the installation guide↗.
For agents
This page has a .md twin and JSON over the API.