head to head · open source
deepwiki-open vs Skill_Seekers
deepwiki-open has 17,996 GitHub stars, 2,004 forks, 269 open issues and last shipped 15 days ago. Skill_Seekers has 14,993 stars, 1,527 forks, 59 open issues and last shipped 2 days ago. deepwiki-open leads on adoption by 20% (17,996 vs 14,993 stars). deepwiki-open is written in Python under MIT; Skill_Seekers is written in Python under MIT. deepwiki-open has attracted 11% as many forks as stars, Skill_Seekers 10%. Skill_Seekers was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (github), 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 | Skill_Seekers | |
|---|---|---|
| GitHub stars | ★ 18K | ★ 15K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-09-03 | 2026-09-16 |
| Forks | ⑂ 2.0K | ⑂ 1.5K |
| 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 Skill_Seekers if
- You want the Skill_Seekers feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and Skill_Seekers 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 Skill_Seekers
Skill Seekers is a Python 3.10+ command line tool and MCP server that turns 18 source types — documentation sites, GitHub repositories, PDFs, Word and EPUB files, notebooks, OpenAPI specs, man pages, and video — into structured knowledge assets packaged for Claude AI skills, RAG pipelines such as LangChain, LlamaIndex, and Pinecone, and AI coding assistants including Cursor, Windsurf, and Cline.
read the full Skill_Seekers overview →
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Frequently asked questions
Is deepwiki-open or Skill_Seekers more popular?
deepwiki-open has 17,996 GitHub stars and Skill_Seekers has 14,993. deepwiki-open has the larger community by that measure.
Are deepwiki-open and Skill_Seekers free?
Both are open source. deepwiki-open is licensed under MIT and Skill_Seekers under MIT. Neither carries a licence fee.
What is the difference between deepwiki-open and Skill_Seekers?
deepwiki-open is written in Python and Skill_Seekers 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 Skill_Seekers?
Choose deepwiki-open if you want the larger community (17,996 stars) or its MIT licence terms. Choose Skill_Seekers if its feature set, stack or MIT licence fits better. Both are self-hostable.