head to head · open source
deepwiki-open vs readme-ai
deepwiki-open has 18,366 GitHub stars, 2,028 forks, 269 open issues and last shipped yesterday. readme-ai has 3,005 stars, 296 forks, 57 open issues and last shipped yesterday. deepwiki-open leads on adoption by 511% (18,366 vs 3,005 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 | 2026-11-04 | 2026-11-04 |
| 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 (Grok Wiki) DeepWiki is my own implementation attempt of DeepWiki, automatically creates beautiful, interactive wikis for any GitHub, GitLab, or BitBucket repository! Just enter a repo name, and DeepWiki will: 1. Analyze the code structure 2. Generate comprehensive documentation 3. Create visual diagrams to explain how everything works 4. Organize it all into an easy to navigate wiki 5. Generate codemap for code centric guided tours English 简体中文 繁體中文 日本語 Español 한국어 Tiếng Việt Português Brasileiro Français Русский Deepwiki Open 2.0 (Grok Wiki is now live) Download at 🤝 Contributing Contributions…
read the full deepwiki-open overview →
About readme-ai
Designed for simplicity, customization, and developer productivity. The metrics above are rendered with HyperWeave — an experimental SVG artifact layer for agents. Explore → Quick Links Intro Demo Features Quickstart Configuration Example Gallery Contributing Guidelines [!IMPORTANT] Explore the [Official Documentation][docs] for a complete list of features, customization options, and examples. Introduction ReadmeAI is a developer tool that automatically generates README files using a robust repository processing engine and advanced language models. Simply provide a URL or path to your codebase, and a well…
read the full readme-ai overview →
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Frequently asked questions
Is deepwiki-open or readme-ai more popular?
deepwiki-open has 18,366 GitHub stars and readme-ai has 3,005. 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 (18,366 stars) or its MIT licence terms. Choose readme-ai if its feature set, stack or MIT licence fits better. Both are self-hostable.