--- title: "moby vs code2prompt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/moby-moby-vs-mufeedvh-code2prompt" tools: ["moby-moby", "mufeedvh-code2prompt"] --- # moby vs code2prompt *GraphCanon updated Jul 11, 2026* ## Verdict Pick moby when moby is primarily Go; code2prompt is Rust; pick code2prompt when code2prompt is primarily Rust; moby is Go. [moby](https://mobyproject.org/) reports 72k GitHub stars, 19k forks, and 3.8k open issues, last pushed Jul 10, 2026. [code2prompt](https://code2prompt.dev) has 7.5k stars, 426 forks, and 18 open issues, last pushed Jun 29, 2026. Figures are from public GitHub metadata via [moby's repository](https://github.com/moby/moby) and [code2prompt's repository](https://github.com/mufeedvh/code2prompt). | | [moby](/tools/moby-moby.md) | [code2prompt](/tools/mufeedvh-code2prompt.md) | | --- | --- | --- | | Tagline | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt templating, and token counting. | | Stars | 71,899 | 7,467 | | Forks | 19,126 | 426 | | Open issues | 3,821 | 18 | | Language | Go | Rust | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Developer Tools, Inference & Serving, LLM Frameworks | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [moby](/tools/moby-moby.md) | [code2prompt](/tools/mufeedvh-code2prompt.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 1d | 11d | | Open issues (now) | 3.8k | 18 | | Owner type | Organization | User | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/moby-moby/trust.md) | [trust report](/tools/mufeedvh-code2prompt/trust.md) | ## Choose when ### Choose moby if… - moby is primarily Go; code2prompt is Rust. - License: moby is Apache-2.0, code2prompt is MIT. - Tags unique to moby: containers, docker, go, golang. - Also covers Inference & Serving. - moby ships Docker support for self-hosted deployment. ### Choose code2prompt if… - code2prompt is primarily Rust; moby is Go. - License: code2prompt is MIT, moby is Apache-2.0. - Tags unique to code2prompt: ai, chatgpt, claude, cli. ## 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 code2prompt - 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. ## Common questions ### What is the difference between moby and code2prompt? moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. code2prompt: A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt templating, and token counting.. See the comparison table for live GitHub stats and shared categories. ### When should I choose moby over code2prompt? Choose moby over code2prompt when moby is primarily Go; code2prompt is Rust; License: moby is Apache-2.0, code2prompt 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 choose code2prompt over moby? Choose code2prompt over moby when code2prompt is primarily Rust; moby is Go; License: code2prompt is MIT, moby is Apache-2.0; Tags unique to code2prompt: ai, chatgpt, claude, cli. ### 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 code2prompt? 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. ### Is moby or code2prompt more popular on GitHub? moby has more GitHub stars (71,899 vs 7,467). Stars measure visibility, not whether either tool fits your constraints. ### Are moby and code2prompt open source? Yes - both are open-source projects on GitHub (moby: Apache-2.0, code2prompt: MIT). ### Where can I find alternatives to moby or code2prompt? GraphCanon lists graph-backed alternatives at [moby alternatives](/tools/moby-moby/alternatives) and [code2prompt alternatives](/tools/mufeedvh-code2prompt/alternatives) ([moby markdown twin](/tools/moby-moby/alternatives.md), [code2prompt markdown twin](/tools/mufeedvh-code2prompt/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-mufeedvh-code2prompt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, moby or code2prompt? moby: Very active. code2prompt: 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 code2prompt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [moby trust report](/tools/moby-moby/trust); [code2prompt trust report](/tools/mufeedvh-code2prompt/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/_