--- title: "ramalama vs moby" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/containers-ramalama-vs-moby-moby" tools: ["containers-ramalama", "moby-moby"] --- # ramalama vs moby *GraphCanon updated Jul 15, 2026* ## Verdict Pick ramalama when ramalama is primarily Python; moby is Go; pick moby when moby is primarily Go; ramalama is Python. [ramalama](https://ramalama.ai) reports 3.0k GitHub stars, 348 forks, and 103 open issues, last pushed Jul 14, 2026. [moby](https://mobyproject.org/) has 72k stars, 19k forks, and 3.8k open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [ramalama's repository](https://github.com/containers/ramalama) and [moby's repository](https://github.com/moby/moby). | | [ramalama](/tools/containers-ramalama.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Tagline | RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in production, all through the familiar language of con | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | | Stars | 2,957 | 71,899 | | Forks | 348 | 19,126 | | Open issues | 103 | 3,821 | | Language | Python | Go | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Developer Tools, Inference & Serving, LLM Frameworks | Developer Tools, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ramalama](/tools/containers-ramalama.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 103 | 3.8k | | Full report | [trust report](/tools/containers-ramalama/trust.md) | [trust report](/tools/moby-moby/trust.md) | ## Choose when ### Choose ramalama if… - ramalama is primarily Python; moby is Go. - License: ramalama is MIT, moby is Apache-2.0. - Tags unique to ramalama: ai, cuda, hacktoberfest, hip. ### Choose moby if… - moby is primarily Go; ramalama is Python. - License: moby is Apache-2.0, ramalama is MIT. - Tags unique to moby: docker, go, golang. - moby ships Docker support for self-hosted deployment. ## When NOT to use ramalama - 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 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. ## Common questions ### What is the difference between ramalama and moby? ramalama: RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in production, all through the familiar language of con. moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. See the comparison table for live GitHub stats and shared categories. ### When should I choose ramalama over moby? Choose ramalama over moby when ramalama is primarily Python; moby is Go; License: ramalama is MIT, moby is Apache-2.0; Tags unique to ramalama: ai, cuda, hacktoberfest, hip. ### When should I choose moby over ramalama? Choose moby over ramalama when moby is primarily Go; ramalama is Python; License: moby is Apache-2.0, ramalama is MIT; Tags unique to moby: docker, go, golang; moby ships Docker support for self-hosted deployment. ### When should I avoid ramalama? 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 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. ### Is ramalama or moby more popular on GitHub? moby has more GitHub stars (71,899 vs 2,957). Stars measure visibility, not whether either tool fits your constraints. ### Are ramalama and moby open source? Yes - both are open-source projects on GitHub (ramalama: MIT, moby: Apache-2.0). ### Where can I find alternatives to ramalama or moby? GraphCanon lists graph-backed alternatives at [ramalama alternatives](/tools/containers-ramalama/alternatives) and [moby alternatives](/tools/moby-moby/alternatives) ([ramalama markdown twin](/tools/containers-ramalama/alternatives.md), [moby markdown twin](/tools/moby-moby/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/containers-ramalama-vs-moby-moby.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ramalama or moby? ramalama: Very active. moby: 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 ramalama and moby? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ramalama trust report](/tools/containers-ramalama/trust); [moby trust report](/tools/moby-moby/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=containers-ramalama`](/api/graphcanon/graph?tool=containers-ramalama) - 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/_