--- title: "moby vs TurboLLM" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/moby-moby-vs-mohitsoni48-turbollm" tools: ["moby-moby", "mohitsoni48-turbollm"] --- # moby vs TurboLLM *GraphCanon updated Jul 15, 2026* ## Verdict Pick moby when moby is primarily Go; TurboLLM is TypeScript; pick TurboLLM when turboLLM is primarily TypeScript; moby is Go. [moby](https://mobyproject.org/) reports 72k GitHub stars, 19k forks, and 3.8k open issues, last pushed Jul 10, 2026. [TurboLLM](https://turbollm.dev) has 171 stars, 27 forks, and 2 open issues, last pushed Jul 15, 2026. Figures are from public GitHub metadata via [moby's repository](https://github.com/moby/moby) and [TurboLLM's repository](https://github.com/mohitsoni48/TurboLLM). | | [moby](/tools/moby-moby.md) | [TurboLLM](/tools/mohitsoni48-turbollm.md) | | --- | --- | --- | | Tagline | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | Run any local LLM engine, auto-tuned to your GPU, polished web UI + OpenAI/Anthropic-compatible API. Point Claude Code at your own machine in one command. No Electron, no Python, offline-first. | | Stars | 71,899 | 171 | | Forks | 19,126 | 27 | | Open issues | 3,821 | 2 | | Language | Go | TypeScript | | 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) | [TurboLLM](/tools/mohitsoni48-turbollm.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 3.8k | 2 | | Owner type | Organization | User | | Full report | [trust report](/tools/moby-moby/trust.md) | [trust report](/tools/mohitsoni48-turbollm/trust.md) | ## Choose when ### Choose moby if… - moby is primarily Go; TurboLLM is TypeScript. - Tags unique to moby: containers, docker, go, golang. - Also covers Developer Tools. - moby ships Docker support for self-hosted deployment. ### Choose TurboLLM if… - TurboLLM is primarily TypeScript; moby is Go. - Tags unique to TurboLLM: ai, anthropic-api, claude code, gguf. - More recently updated (last pushed Jul 15, 2026). ## 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 TurboLLM - 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 TurboLLM? moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. TurboLLM: Run any local LLM engine, auto-tuned to your GPU, polished web UI + OpenAI/Anthropic-compatible API. Point Claude Code at your own machine in one command. No Electron, no Python, offline-first.. See the comparison table for live GitHub stats and shared categories. ### When should I choose moby over TurboLLM? Choose moby over TurboLLM when moby is primarily Go; TurboLLM is TypeScript; Tags unique to moby: containers, docker, go, golang; Also covers Developer Tools; moby ships Docker support for self-hosted deployment. ### When should I choose TurboLLM over moby? Choose TurboLLM over moby when TurboLLM is primarily TypeScript; moby is Go; Tags unique to TurboLLM: ai, anthropic-api, claude code, gguf; More recently updated (last pushed Jul 15, 2026). ### 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 TurboLLM? 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 TurboLLM more popular on GitHub? moby has more GitHub stars (71,899 vs 171). Stars measure visibility, not whether either tool fits your constraints. ### Are moby and TurboLLM open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to moby or TurboLLM? GraphCanon lists graph-backed alternatives at [moby alternatives](/tools/moby-moby/alternatives) and [TurboLLM alternatives](/tools/mohitsoni48-turbollm/alternatives) ([moby markdown twin](/tools/moby-moby/alternatives.md), [TurboLLM markdown twin](/tools/mohitsoni48-turbollm/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-mohitsoni48-turbollm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, moby or TurboLLM? moby: Very active. TurboLLM: 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 moby and TurboLLM? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [moby trust report](/tools/moby-moby/trust); [TurboLLM trust report](/tools/mohitsoni48-turbollm/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/_