--- title: "moby vs ome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/moby-moby-vs-ome-projects-ome" tools: ["moby-moby", "ome-projects-ome"] --- # moby vs ome *GraphCanon updated Jul 11, 2026* ## Verdict Pick moby when tags unique to moby: go, docker, golang, containers; pick ome when tags unique to ome: llama, deepseek, llm, model-serving. [moby](https://mobyproject.org/) reports 72k GitHub stars, 19k forks, and 3.8k open issues, last pushed Jul 10, 2026. [ome](http://ome-projects.github.io/ome/) has 479 stars, 84 forks, and 117 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [moby's repository](https://github.com/moby/moby) and [ome's repository](https://github.com/ome-projects/ome). | | [moby](/tools/moby-moby.md) | [ome](/tools/ome-projects-ome.md) | | --- | --- | --- | | Tagline | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | Open Model Engine (OME) — Kubernetes operator for LLM serving, GPU scheduling, and model lifecycle management. Works with SGLang, vLLM, TensorRT-LLM, and Triton | | Stars | 71,899 | 479 | | Forks | 19,126 | 84 | | Open issues | 3,821 | 117 | | Language | Go | Go | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | LLM Frameworks, Inference & Serving, Developer Tools | LLM Frameworks, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [moby](/tools/moby-moby.md) | [ome](/tools/ome-projects-ome.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 3.8k | 117 | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/moby-moby/trust.md) | [trust report](/tools/ome-projects-ome/trust.md) | ## Choose when ### Choose moby if… - Tags unique to moby: go, docker, golang, containers. - Also covers Developer Tools. - moby ships Docker support for self-hosted deployment. ### Choose ome if… - Tags unique to ome: llama, deepseek, llm, model-serving. - More recently updated (last pushed Jul 11, 2026). ## When NOT to use moby - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## When NOT to use ome - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## Common questions ### What is the difference between moby and ome? moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. ome: Open Model Engine (OME) — Kubernetes operator for LLM serving, GPU scheduling, and model lifecycle management. Works with SGLang, vLLM, TensorRT-LLM, and Triton. See the comparison table for live GitHub stats and shared categories. ### When should I choose moby over ome? Choose moby over ome when Tags unique to moby: go, docker, golang, containers; Also covers Developer Tools; moby ships Docker support for self-hosted deployment. ### When should I choose ome over moby? Choose ome over moby when Tags unique to ome: llama, deepseek, llm, model-serving; More recently updated (last pushed Jul 11, 2026). ### When should I avoid moby? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### When should I avoid ome? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### Is moby or ome more popular on GitHub? moby has more GitHub stars (71,899 vs 479). Stars measure visibility, not whether either tool fits your constraints. ### Are moby and ome open source? Yes - both are open-source projects on GitHub (moby: Apache-2.0, ome: Apache-2.0). ### Where can I find alternatives to moby or ome? GraphCanon lists graph-backed alternatives at [moby alternatives](/tools/moby-moby/alternatives) and [ome alternatives](/tools/ome-projects-ome/alternatives) ([moby markdown twin](/tools/moby-moby/alternatives.md), [ome markdown twin](/tools/ome-projects-ome/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-ome-projects-ome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, moby or ome? moby: Very active. ome: Very active. 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 ome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [moby trust report](/tools/moby-moby/trust); [ome trust report](/tools/ome-projects-ome/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/_