--- title: "moby vs llamafile" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/moby-moby-vs-mozilla-ai-llamafile" tools: ["moby-moby", "mozilla-ai-llamafile"] --- # moby vs llamafile *GraphCanon updated Jul 11, 2026* ## Verdict Pick moby when moby is primarily Go; llamafile is C++; pick llamafile when llamafile is primarily C++; moby is Go. [moby](https://mobyproject.org/) reports 72k GitHub stars, 19k forks, and 3.8k open issues, last pushed Jul 10, 2026. [llamafile](https://docs.mozilla.ai/llamafile) has 25k stars, 1.6k forks, and 212 open issues, last pushed Jul 2, 2026. Figures are from public GitHub metadata via [moby's repository](https://github.com/moby/moby) and [llamafile's repository](https://github.com/mozilla-ai/llamafile). | | [moby](/tools/moby-moby.md) | [llamafile](/tools/mozilla-ai-llamafile.md) | | --- | --- | --- | | Tagline | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | Distribute and run LLMs with a single file. | | Stars | 71,899 | 25,361 | | Forks | 19,126 | 1,586 | | Open issues | 3,821 | 212 | | Language | Go | C++ | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | LLM Frameworks, Inference & Serving, Developer Tools | LLM Frameworks, Speech & Audio, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [moby](/tools/moby-moby.md) | [llamafile](/tools/mozilla-ai-llamafile.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 1d | 8d | | Open issues (now) | 3.8k | 212 | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/moby-moby/trust.md) | [trust report](/tools/mozilla-ai-llamafile/trust.md) | ## Choose when ### Choose moby if… - moby is primarily Go; llamafile is C++. - License: moby is Apache-2.0, llamafile is Other. - Tags unique to moby: go, docker, golang, containers. - Also covers Developer Tools. - moby ships Docker support for self-hosted deployment. ### Choose llamafile if… - llamafile is primarily C++; moby is Go. - License: llamafile is Other, moby is Apache-2.0. - Tags unique to llamafile: local-inference, cross-platform, open-source-ai, local-ai. - Also covers Speech & Audio. ## 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 llamafile - 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 llamafile? moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. llamafile: Distribute and run LLMs with a single file.. See the comparison table for live GitHub stats and shared categories. ### When should I choose moby over llamafile? Choose moby over llamafile when moby is primarily Go; llamafile is C++; License: moby is Apache-2.0, llamafile is Other; Tags unique to moby: go, docker, golang, containers; Also covers Developer Tools; moby ships Docker support for self-hosted deployment. ### When should I choose llamafile over moby? Choose llamafile over moby when llamafile is primarily C++; moby is Go; License: llamafile is Other, moby is Apache-2.0; Tags unique to llamafile: local-inference, cross-platform, open-source-ai, local-ai; Also covers Speech & Audio. ### 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 llamafile? 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 llamafile more popular on GitHub? moby has more GitHub stars (71,899 vs 25,361). Stars measure visibility, not whether either tool fits your constraints. ### Are moby and llamafile open source? Yes - both are open-source projects on GitHub (moby: Apache-2.0, llamafile: Other). ### Where can I find alternatives to moby or llamafile? GraphCanon lists graph-backed alternatives at [moby alternatives](/tools/moby-moby/alternatives) and [llamafile alternatives](/tools/mozilla-ai-llamafile/alternatives) ([moby markdown twin](/tools/moby-moby/alternatives.md), [llamafile markdown twin](/tools/mozilla-ai-llamafile/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-mozilla-ai-llamafile.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, moby or llamafile? moby: Very active. llamafile: 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 llamafile? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [moby trust report](/tools/moby-moby/trust); [llamafile trust report](/tools/mozilla-ai-llamafile/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/_