head to head · open source

Skill_Seekers vs liam

Skill_Seekers has 15,009 GitHub stars, 1,530 forks, 59 open issues and last shipped 4 days ago. liam has 5,116 stars, 239 forks, 29 open issues and last shipped yesterday. Skill_Seekers leads on adoption by 193% (15,009 vs 5,116 stars). Skill_Seekers is written in Python under MIT; liam is written in TypeScript under Apache-2.0. Skill_Seekers has attracted 10% as many forks as stars, liam 5%. liam was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (documentation), 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.

Skill_Seekers ★ 15K liam ★ 5.1K category Content & Publishing

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Side by side

Skill_Seekers liam
GitHub stars ★ 15K ★ 5.1K
License MIT Apache-2.0
Written in Python TypeScript
Last push 2026-09-16 2026-09-19
Forks ⑂ 1.5K ⑂ 239
Self-hosting Yes Yes
Data ownership Your server Your server

pick Skill_Seekers if

  • You weight community size — 15K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full Skill_Seekers profile →

pick liam if

  • You want the liam feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches TypeScript
  • You evaluated both and liam fits your workflow better

full liam profile →

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 →

About liam

Liam is an open source TypeScript tool that automatically generates beautiful, interactive ER diagrams from an existing database schema, built for developers and teams who need to read, document, and share the structure of a database without drawing diagrams by hand.

read the full liam overview →

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More Documentation & Knowledge Base projects

Compare either of these against the rest of the Documentation & Knowledge Base field.

Skill_Seekers vs storybook Skill_Seekers vs Understand-Anything Skill_Seekers vs devdocs Skill_Seekers vs docsify Skill_Seekers vs wiki Skill_Seekers vs mkdocs-material Skill_Seekers vs BookStack Skill_Seekers vs deepwiki-open Skill_Seekers vs Docs Skill_Seekers vs jsdoc Skill_Seekers vs gollum Skill_Seekers vs cheat

Frequently asked questions

Is Skill_Seekers or liam more popular?

Skill_Seekers has 15,009 GitHub stars and liam has 5,116. Skill_Seekers has the larger community by that measure.

Are Skill_Seekers and liam free?

Both are open source. Skill_Seekers is licensed under MIT and liam under Apache-2.0. Neither carries a licence fee.

What is the difference between Skill_Seekers and liam?

Skill_Seekers is written in Python and liam in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, Skill_Seekers or liam?

Choose Skill_Seekers if you want the larger community (15,009 stars) or its MIT licence terms. Choose liam if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.