--- title: "moby vs ray-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/moby-moby-vs-ray-project-ray-llm" tools: ["moby-moby", "ray-project-ray-llm"] --- # moby vs ray-llm *GraphCanon updated Jul 12, 2026* ## Verdict Pick moby when tags unique to moby: containers, docker, go, golang; pick ray-llm when tags unique to ray-llm: llm, llm-serving, ray. [moby](https://mobyproject.org/) reports 72k GitHub stars, 19k forks, and 3.8k open issues, last pushed Jul 10, 2026. [ray-llm](https://docs.ray.io/en/latest/) has 1.3k stars, 90 forks, and 0 open issues, last pushed Mar 13, 2025. Figures are from public GitHub metadata via [moby's repository](https://github.com/moby/moby) and [ray-llm's repository](https://github.com/ray-project/ray-llm). | | [moby](/tools/moby-moby.md) | [ray-llm](/tools/ray-project-ray-llm.md) | | --- | --- | --- | | Tagline | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | RayLLM - LLMs on Ray (Archived). Read README for more info. | | Stars | 71,899 | 1,263 | | Forks | 19,126 | 90 | | Open issues | 3,821 | 0 | | Language | Go | - | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | - | | Categories | Developer Tools, Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [moby](/tools/moby-moby.md) | [ray-llm](/tools/ray-project-ray-llm.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Archived (8%) | | Days since push | 1d | 485d | | Archived on GitHub | No | Yes | | Open issues (now) | 3.8k | 0 | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/moby-moby/trust.md) | [trust report](/tools/ray-project-ray-llm/trust.md) | ## Choose when ### Choose moby if… - Tags unique to moby: containers, docker, go, golang. - Also covers Developer Tools. - moby ships Docker support for self-hosted deployment. ### Choose ray-llm if… - Tags unique to ray-llm: llm, llm-serving, ray. - Leaner open-issue backlog (0). ## 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 ray-llm - ray-llm is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. - 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 ray-llm? moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. ray-llm: RayLLM - LLMs on Ray (Archived). Read README for more info.. See the comparison table for live GitHub stats and shared categories. ### When should I choose moby over ray-llm? Choose moby over ray-llm when Tags unique to moby: containers, docker, go, golang; Also covers Developer Tools; moby ships Docker support for self-hosted deployment. ### When should I choose ray-llm over moby? Choose ray-llm over moby when Tags unique to ray-llm: llm, llm-serving, ray; Leaner open-issue backlog (0). ### 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 ray-llm? ray-llm is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. 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 ray-llm more popular on GitHub? moby has more GitHub stars (71,899 vs 1,263). Stars measure visibility, not whether either tool fits your constraints. ### Are moby and ray-llm open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to moby or ray-llm? GraphCanon lists graph-backed alternatives at [moby alternatives](/tools/moby-moby/alternatives) and [ray-llm alternatives](/tools/ray-project-ray-llm/alternatives) ([moby markdown twin](/tools/moby-moby/alternatives.md), [ray-llm markdown twin](/tools/ray-project-ray-llm/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-ray-project-ray-llm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, moby or ray-llm? moby: Very active. ray-llm: Archived. 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 ray-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [moby trust report](/tools/moby-moby/trust); [ray-llm trust report](/tools/ray-project-ray-llm/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/_