--- title: "whichllm vs moby" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/andyyyy64-whichllm-vs-moby-moby" tools: ["andyyyy64-whichllm", "moby-moby"] --- # whichllm vs moby *GraphCanon updated Jul 15, 2026* ## Verdict Pick whichllm when whichllm is primarily Python; moby is Go; pick moby when moby is primarily Go; whichllm is Python. [whichllm](https://github.com/Andyyyy64/whichllm) reports 5.8k GitHub stars, 309 forks, and 16 open issues, last pushed Jul 8, 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 [whichllm's repository](https://github.com/Andyyyy64/whichllm) and [moby's repository](https://github.com/moby/moby). | | [whichllm](/tools/andyyyy64-whichllm.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Tagline | Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly. | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | | Stars | 5,812 | 71,899 | | Forks | 309 | 19,126 | | Open issues | 16 | 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._ | | [whichllm](/tools/andyyyy64-whichllm.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Days since push | 6d | 1d | | Open issues (now) | 16 | 3.8k | | Owner type | User | Organization | | Full report | [trust report](/tools/andyyyy64-whichllm/trust.md) | [trust report](/tools/moby-moby/trust.md) | ## Choose when ### Choose whichllm if… - whichllm is primarily Python; moby is Go. - License: whichllm is MIT, moby is Apache-2.0. - Tags unique to whichllm: ai, apple-silicon, benchmarks, cli. ### Choose moby if… - moby is primarily Go; whichllm is Python. - License: moby is Apache-2.0, whichllm is MIT. - Tags unique to moby: containers, docker, go, golang. - moby ships Docker support for self-hosted deployment. ## When NOT to use whichllm - 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 whichllm and moby? whichllm: Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly.. 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 whichllm over moby? Choose whichllm over moby when whichllm is primarily Python; moby is Go; License: whichllm is MIT, moby is Apache-2.0; Tags unique to whichllm: ai, apple-silicon, benchmarks, cli. ### When should I choose moby over whichllm? Choose moby over whichllm when moby is primarily Go; whichllm is Python; License: moby is Apache-2.0, whichllm is MIT; Tags unique to moby: containers, docker, go, golang; moby ships Docker support for self-hosted deployment. ### When should I avoid whichllm? 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 whichllm or moby more popular on GitHub? moby has more GitHub stars (71,899 vs 5,812). Stars measure visibility, not whether either tool fits your constraints. ### Are whichllm and moby open source? Yes - both are open-source projects on GitHub (whichllm: MIT, moby: Apache-2.0). ### Where can I find alternatives to whichllm or moby? GraphCanon lists graph-backed alternatives at [whichllm alternatives](/tools/andyyyy64-whichllm/alternatives) and [moby alternatives](/tools/moby-moby/alternatives) ([whichllm markdown twin](/tools/andyyyy64-whichllm/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/andyyyy64-whichllm-vs-moby-moby.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, whichllm or moby? whichllm: 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 whichllm and moby? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [whichllm trust report](/tools/andyyyy64-whichllm/trust); [moby trust report](/tools/moby-moby/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=andyyyy64-whichllm`](/api/graphcanon/graph?tool=andyyyy64-whichllm) - 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/_