--- title: "moby vs farfalle" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/moby-moby-vs-rashadphz-farfalle" tools: ["moby-moby", "rashadphz-farfalle"] --- # moby vs farfalle *GraphCanon updated Jul 15, 2026* ## Verdict Pick moby when moby is primarily Go; farfalle is TypeScript; pick farfalle when farfalle 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. [farfalle](https://www.farfalle.dev/) has 3.5k stars, 320 forks, and 53 open issues, last pushed Sep 27, 2024. Figures are from public GitHub metadata via [moby's repository](https://github.com/moby/moby) and [farfalle's repository](https://github.com/rashadphz/farfalle). | | [moby](/tools/moby-moby.md) | [farfalle](/tools/rashadphz-farfalle.md) | | --- | --- | --- | | Tagline | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | 🔍 AI search engine - self-host with local or cloud LLMs | | Stars | 71,899 | 3,533 | | Forks | 19,126 | 320 | | Open issues | 3,821 | 53 | | Language | Go | TypeScript | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | 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) | [farfalle](/tools/rashadphz-farfalle.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 1d | 656d | | Open issues (now) | 3.8k | 53 | | Owner type | Organization | User | | Full report | [trust report](/tools/moby-moby/trust.md) | [trust report](/tools/rashadphz-farfalle/trust.md) | ## Choose when ### Choose moby if… - moby is primarily Go; farfalle is TypeScript. - Tags unique to moby: containers, docker, go, golang. - Also covers Developer Tools. - moby ships Docker support for self-hosted deployment. ### Choose farfalle if… - farfalle is primarily TypeScript; moby is Go. - Tags unique to farfalle: fastapi, generative-ui, gpt-4o, groq. - Leaner open-issue backlog (53). ## 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 farfalle - Last GitHub push was 656 days ago (dormant maintenance, Sep 27, 2024). Validate activity before betting a new project on farfalle. - 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 farfalle? moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. farfalle: 🔍 AI search engine - self-host with local or cloud LLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose moby over farfalle? Choose moby over farfalle when moby is primarily Go; farfalle 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 farfalle over moby? Choose farfalle over moby when farfalle is primarily TypeScript; moby is Go; Tags unique to farfalle: fastapi, generative-ui, gpt-4o, groq; Leaner open-issue backlog (53). ### 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 farfalle? Last GitHub push was 656 days ago (dormant maintenance, Sep 27, 2024). Validate activity before betting a new project on farfalle. 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 farfalle more popular on GitHub? moby has more GitHub stars (71,899 vs 3,533). Stars measure visibility, not whether either tool fits your constraints. ### Are moby and farfalle open source? Yes - both are open-source projects on GitHub (moby: Apache-2.0, farfalle: Apache-2.0). ### Where can I find alternatives to moby or farfalle? GraphCanon lists graph-backed alternatives at [moby alternatives](/tools/moby-moby/alternatives) and [farfalle alternatives](/tools/rashadphz-farfalle/alternatives) ([moby markdown twin](/tools/moby-moby/alternatives.md), [farfalle markdown twin](/tools/rashadphz-farfalle/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-rashadphz-farfalle.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, moby or farfalle? moby: Very active. farfalle: Dormant. 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 farfalle? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [moby trust report](/tools/moby-moby/trust); [farfalle trust report](/tools/rashadphz-farfalle/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/_