--- title: "moby vs openmodelz" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/moby-moby-vs-tensorchord-openmodelz" tools: ["moby-moby", "tensorchord-openmodelz"] --- # moby vs openmodelz *GraphCanon updated Jul 11, 2026* ## Verdict Pick moby when tags unique to moby: containers, docker, golang; pick openmodelz when tags unique to openmodelz: cluster-manager, hacktoberfest, inference, llm. [moby](https://mobyproject.org/) reports 72k GitHub stars, 19k forks, and 3.8k open issues, last pushed Jul 10, 2026. [openmodelz](https://docs.open.modelz.ai) has 281 stars, 26 forks, and 23 open issues, last pushed Nov 3, 2023. Figures are from public GitHub metadata via [moby's repository](https://github.com/moby/moby) and [openmodelz's repository](https://github.com/tensorchord/openmodelz). | | [moby](/tools/moby-moby.md) | [openmodelz](/tools/tensorchord-openmodelz.md) | | --- | --- | --- | | Tagline | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | Autoscale LLM (vLLM, SGLang, LMDeploy) inferences on Kubernetes (and others) | | Stars | 71,899 | 281 | | Forks | 19,126 | 26 | | Open issues | 3,821 | 23 | | Language | Go | Go | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Developer Tools, Inference & Serving, LLM Frameworks | Computer Vision, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [moby](/tools/moby-moby.md) | [openmodelz](/tools/tensorchord-openmodelz.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 1d | 981d | | Open issues (now) | 3.8k | 23 | | Security scan | No criticals | 106 low (106 low) | | Full report | [trust report](/tools/moby-moby/trust.md) | [trust report](/tools/tensorchord-openmodelz/trust.md) | ## Choose when ### Choose moby if… - Tags unique to moby: containers, docker, golang. - Also covers Developer Tools. - moby ships Docker support for self-hosted deployment. ### Choose openmodelz if… - Tags unique to openmodelz: cluster-manager, hacktoberfest, inference, llm. - Also covers Computer Vision. - Leaner open-issue backlog (23). ## When NOT to use moby - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use openmodelz - Last GitHub push was 982 days ago (dormant maintenance, Nov 3, 2023). Validate activity before betting a new project on openmodelz. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between moby and openmodelz? moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. openmodelz: Autoscale LLM (vLLM, SGLang, LMDeploy) inferences on Kubernetes (and others). See the comparison table for live GitHub stats and shared categories. ### When should I choose moby over openmodelz? Choose moby over openmodelz when Tags unique to moby: containers, docker, golang; Also covers Developer Tools; moby ships Docker support for self-hosted deployment. ### When should I choose openmodelz over moby? Choose openmodelz over moby when Tags unique to openmodelz: cluster-manager, hacktoberfest, inference, llm; Also covers Computer Vision; Leaner open-issue backlog (23). ### When should I avoid moby? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid openmodelz? Last GitHub push was 982 days ago (dormant maintenance, Nov 3, 2023). Validate activity before betting a new project on openmodelz. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is moby or openmodelz more popular on GitHub? moby has more GitHub stars (71,899 vs 281). Stars measure visibility, not whether either tool fits your constraints. ### Are moby and openmodelz open source? Yes - both are open-source projects on GitHub (moby: Apache-2.0, openmodelz: Apache-2.0). ### Where can I find alternatives to moby or openmodelz? GraphCanon lists graph-backed alternatives at [moby alternatives](/tools/moby-moby/alternatives) and [openmodelz alternatives](/tools/tensorchord-openmodelz/alternatives) ([moby markdown twin](/tools/moby-moby/alternatives.md), [openmodelz markdown twin](/tools/tensorchord-openmodelz/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/moby-moby-vs-tensorchord-openmodelz.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, moby or openmodelz? moby: Very active. openmodelz: Dormant. 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 moby and openmodelz? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [moby trust report](/tools/moby-moby/trust); [openmodelz trust report](/tools/tensorchord-openmodelz/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=moby-moby`](/api/graphcanon/graph?tool=moby-moby) - 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/_