--- title: "Medusa vs moby" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/fasterdecoding-medusa-vs-moby-moby" tools: ["fasterdecoding-medusa", "moby-moby"] --- # Medusa vs moby *GraphCanon updated Jul 11, 2026* ## Verdict Pick Medusa when medusa is primarily Jupyter Notebook; moby is Go; pick moby when moby is primarily Go; Medusa is Jupyter Notebook. [Medusa](https://sites.google.com/view/medusa-llm) reports 2.8k GitHub stars, 204 forks, and 57 open issues, last pushed Jun 25, 2024. [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 [Medusa's repository](https://github.com/FasterDecoding/Medusa) and [moby's repository](https://github.com/moby/moby). | | [Medusa](/tools/fasterdecoding-medusa.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Tagline | Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | | Stars | 2,755 | 71,899 | | Forks | 204 | 19,126 | | Open issues | 57 | 3,821 | | Language | Jupyter Notebook | Go | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Inference & Serving, LLM Frameworks | Developer Tools, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Medusa](/tools/fasterdecoding-medusa.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 745d | 1d | | Open issues (now) | 57 | 3.8k | | Security scan | No lockfile | No criticals | | Full report | [trust report](/tools/fasterdecoding-medusa/trust.md) | [trust report](/tools/moby-moby/trust.md) | ## Choose when ### Choose Medusa if… - Medusa is primarily Jupyter Notebook; moby is Go. - Tags unique to Medusa: jupyter notebook, llm, llm-inference. - Leaner open-issue backlog (57). ### Choose moby if… - moby is primarily Go; Medusa is Jupyter Notebook. - Tags unique to moby: containers, docker, go, golang. - Also covers Developer Tools. - moby ships Docker support for self-hosted deployment. ## When NOT to use Medusa - Last GitHub push was 746 days ago (dormant maintenance, Jun 25, 2024). Validate activity before betting a new project on Medusa. - 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 Medusa and moby? Medusa: Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads. 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 Medusa over moby? Choose Medusa over moby when Medusa is primarily Jupyter Notebook; moby is Go; Tags unique to Medusa: jupyter notebook, llm, llm-inference; Leaner open-issue backlog (57). ### When should I choose moby over Medusa? Choose moby over Medusa when moby is primarily Go; Medusa is Jupyter Notebook; Tags unique to moby: containers, docker, go, golang; Also covers Developer Tools; moby ships Docker support for self-hosted deployment. ### When should I avoid Medusa? Last GitHub push was 746 days ago (dormant maintenance, Jun 25, 2024). Validate activity before betting a new project on Medusa. 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 Medusa or moby more popular on GitHub? moby has more GitHub stars (71,899 vs 2,755). Stars measure visibility, not whether either tool fits your constraints. ### Are Medusa and moby open source? Yes - both are open-source projects on GitHub (Medusa: Apache-2.0, moby: Apache-2.0). ### Where can I find alternatives to Medusa or moby? GraphCanon lists graph-backed alternatives at [Medusa alternatives](/tools/fasterdecoding-medusa/alternatives) and [moby alternatives](/tools/moby-moby/alternatives) ([Medusa markdown twin](/tools/fasterdecoding-medusa/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/fasterdecoding-medusa-vs-moby-moby.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Medusa or moby? Medusa: Dormant. 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 Medusa and moby? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Medusa trust report](/tools/fasterdecoding-medusa/trust); [moby trust report](/tools/moby-moby/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=fasterdecoding-medusa`](/api/graphcanon/graph?tool=fasterdecoding-medusa) - 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/_