head to head · open source
deepwiki-open vs readme-ai
deepwiki-open has 18,015 GitHub stars, 2,004 forks, 269 open issues and last shipped 17 days ago. readme-ai has 2,988 stars, 296 forks, 57 open issues and last shipped 4 days ago. deepwiki-open leads on adoption by 503% (18,015 vs 2,988 stars). deepwiki-open is written in Python under MIT; readme-ai is written in Python under MIT. deepwiki-open has attracted 11% as many forks as stars, readme-ai 10%. readme-ai was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai, gemini), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| deepwiki-open | readme-ai | |
|---|---|---|
| GitHub stars | ★ 18K | ★ 3.0K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-09-03 | 2026-09-16 |
| Forks | ⑂ 2.0K | ⑂ 296 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick deepwiki-open if
- You weight community size — 18K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick readme-ai if
- You want the readme-ai feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and readme-ai fits your workflow better
About deepwiki-open
DeepWiki Open, also published as Grok Wiki, is an open source wiki generator for source code repositories. It takes a GitHub, GitLab, or Bitbucket repository name as input and produces a navigable documentation site for that codebase. The project is written in Python and released under the MIT License, and the author describes it plainly as a personal implementation attempt at DeepWiki. It lives in the AI developer tooling ecosystem alongside the model providers and coding agents its topic list names, including OpenAI, Gemini, OpenRouter, Ollama, Codex, and grok cli.
read the full deepwiki-open overview →
About readme-ai
ReadmeAI is a Python command line tool that automatically generates README files for a codebase by pairing a repository processing engine with large language models, and it is built for developers and maintainers who want structured project documentation without writing it by hand.
read the full readme-ai overview →
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Frequently asked questions
Is deepwiki-open or readme-ai more popular?
deepwiki-open has 18,015 GitHub stars and readme-ai has 2,988. deepwiki-open has the larger community by that measure.
Are deepwiki-open and readme-ai free?
Both are open source. deepwiki-open is licensed under MIT and readme-ai under MIT. Neither carries a licence fee.
What is the difference between deepwiki-open and readme-ai?
deepwiki-open is written in Python and readme-ai in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, deepwiki-open or readme-ai?
Choose deepwiki-open if you want the larger community (18,015 stars) or its MIT licence terms. Choose readme-ai if its feature set, stack or MIT licence fits better. Both are self-hostable.