--- title: "deepwiki-open vs moby" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/asyncfuncai-deepwiki-open-vs-moby-moby" tools: ["asyncfuncai-deepwiki-open", "moby-moby"] --- # deepwiki-open vs moby *GraphCanon updated Jul 15, 2026* ## Verdict Pick deepwiki-open when deepwiki-open is primarily Python; moby is Go; pick moby when moby is primarily Go; deepwiki-open is Python. [deepwiki-open](https://grok-wiki.com/) reports 17k GitHub stars, 1.9k forks, and 264 open issues, last pushed Jun 3, 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 [deepwiki-open's repository](https://github.com/AsyncFuncAI/deepwiki-open) and [moby's repository](https://github.com/moby/moby). | | [deepwiki-open](/tools/asyncfuncai-deepwiki-open.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Tagline | Open Source DeepWiki: AI-Powered Wiki Generator for GitHub/Gitlab/Bitbucket Repositories. Join the discord: https://discord.gg/gMwThUMeme | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | | Stars | 17,302 | 71,899 | | Forks | 1,939 | 19,126 | | Open issues | 264 | 3,821 | | Language | Python | Go | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Developer Tools, Inference & Serving | Developer Tools, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [deepwiki-open](/tools/asyncfuncai-deepwiki-open.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 42d | 1d | | Open issues (now) | 264 | 3.8k | | Full report | [trust report](/tools/asyncfuncai-deepwiki-open/trust.md) | [trust report](/tools/moby-moby/trust.md) | ## Choose when ### Choose deepwiki-open if… - deepwiki-open is primarily Python; moby is Go. - License: deepwiki-open is MIT, moby is Apache-2.0. - Tags unique to deepwiki-open: ai, codex, gemini, github. ### Choose moby if… - moby is primarily Go; deepwiki-open is Python. - License: moby is Apache-2.0, deepwiki-open is MIT. - Tags unique to moby: containers, docker, go, golang. - Also covers LLM Frameworks. ## When NOT to use deepwiki-open - 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. ## 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 deepwiki-open and moby? deepwiki-open: Open Source DeepWiki: AI-Powered Wiki Generator for GitHub/Gitlab/Bitbucket Repositories. Join the discord: https://discord.gg/gMwThUMeme. 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 deepwiki-open over moby? Choose deepwiki-open over moby when deepwiki-open is primarily Python; moby is Go; License: deepwiki-open is MIT, moby is Apache-2.0; Tags unique to deepwiki-open: ai, codex, gemini, github. ### When should I choose moby over deepwiki-open? Choose moby over deepwiki-open when moby is primarily Go; deepwiki-open is Python; License: moby is Apache-2.0, deepwiki-open is MIT; Tags unique to moby: containers, docker, go, golang; Also covers LLM Frameworks. ### When should I avoid deepwiki-open? 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. ### 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 deepwiki-open or moby more popular on GitHub? moby has more GitHub stars (71,899 vs 17,302). Stars measure visibility, not whether either tool fits your constraints. ### Are deepwiki-open and moby open source? Yes - both are open-source projects on GitHub (deepwiki-open: MIT, moby: Apache-2.0). ### Where can I find alternatives to deepwiki-open or moby? GraphCanon lists graph-backed alternatives at [deepwiki-open alternatives](/tools/asyncfuncai-deepwiki-open/alternatives) and [moby alternatives](/tools/moby-moby/alternatives) ([deepwiki-open markdown twin](/tools/asyncfuncai-deepwiki-open/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/asyncfuncai-deepwiki-open-vs-moby-moby.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, deepwiki-open or moby? deepwiki-open: Steady. 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 deepwiki-open and moby? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [deepwiki-open trust report](/tools/asyncfuncai-deepwiki-open/trust); [moby trust report](/tools/moby-moby/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=asyncfuncai-deepwiki-open`](/api/graphcanon/graph?tool=asyncfuncai-deepwiki-open) - 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/_