--- title: "ragtune vs moby" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/metawake-ragtune-vs-moby-moby" tools: ["metawake-ragtune", "moby-moby"] --- # ragtune vs moby *GraphCanon updated Jul 11, 2026* ## Verdict Pick ragtune when license: ragtune is MIT, moby is Apache-2.0; pick moby when license: moby is Apache-2.0, ragtune is MIT. [ragtune](https://github.com/metawake/ragtune) reports 13 GitHub stars, 1 forks, and 0 open issues, last pushed Mar 25, 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 [ragtune's repository](https://github.com/metawake/ragtune) and [moby's repository](https://github.com/moby/moby). | | [ragtune](/tools/metawake-ragtune.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Tagline | EXPLAIN ANALYZE for RAG retrieval — inspect, debug, benchmark, and tune your retrieval layer | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | | Stars | 13 | 71,899 | | Forks | 1 | 19,126 | | Open issues | 0 | 3,821 | | Language | Go | Go | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Developer Tools, LLM Frameworks, Vector Databases | Developer Tools, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ragtune](/tools/metawake-ragtune.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 108d | 1d | | Open issues (now) | 0 | 3.8k | | Owner type | User | Organization | | Security scan | 62 low (62 low) | No criticals | | Full report | [trust report](/tools/metawake-ragtune/trust.md) | [trust report](/tools/moby-moby/trust.md) | ## Choose when ### Choose ragtune if… - License: ragtune is MIT, moby is Apache-2.0. - Tags unique to ragtune: benchmarking, chroma, cli, developer-tools. - Also covers Vector Databases. ### Choose moby if… - License: moby is Apache-2.0, ragtune is MIT. - Tags unique to moby: containers, docker, go, golang. - Also covers Inference & Serving. - moby ships Docker support for self-hosted deployment. ## When NOT to use ragtune - Last GitHub push was 108 days ago (slowing maintenance, Mar 25, 2026). Validate activity before betting a new project on ragtune. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## 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 ragtune and moby? ragtune: EXPLAIN ANALYZE for RAG retrieval — inspect, debug, benchmark, and tune your retrieval layer. 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 ragtune over moby? Choose ragtune over moby when License: ragtune is MIT, moby is Apache-2.0; Tags unique to ragtune: benchmarking, chroma, cli, developer-tools; Also covers Vector Databases. ### When should I choose moby over ragtune? Choose moby over ragtune when License: moby is Apache-2.0, ragtune is MIT; Tags unique to moby: containers, docker, go, golang; Also covers Inference & Serving; moby ships Docker support for self-hosted deployment. ### When should I avoid ragtune? Last GitHub push was 108 days ago (slowing maintenance, Mar 25, 2026). Validate activity before betting a new project on ragtune. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### 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 ragtune or moby more popular on GitHub? moby has more GitHub stars (71,899 vs 13). Stars measure visibility, not whether either tool fits your constraints. ### Are ragtune and moby open source? Yes - both are open-source projects on GitHub (ragtune: MIT, moby: Apache-2.0). ### Where can I find alternatives to ragtune or moby? GraphCanon lists graph-backed alternatives at [ragtune alternatives](/tools/metawake-ragtune/alternatives) and [moby alternatives](/tools/moby-moby/alternatives) ([ragtune markdown twin](/tools/metawake-ragtune/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/metawake-ragtune-vs-moby-moby.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ragtune or moby? ragtune: Slowing. 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 ragtune and moby? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ragtune trust report](/tools/metawake-ragtune/trust); [moby trust report](/tools/moby-moby/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=metawake-ragtune`](/api/graphcanon/graph?tool=metawake-ragtune) - 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/_