head to head · open source
mkdocs-material vs pg-aiguide
mkdocs-material has 27,596 GitHub stars, 4,154 forks, 1 open issues and last shipped 6 days ago. pg-aiguide has 1,881 stars, 120 forks, 8 open issues and last shipped 2 days ago. mkdocs-material leads on adoption by 1,367% (27,596 vs 1,881 stars). mkdocs-material is written in Python under MIT; pg-aiguide is written in Python under Apache-2.0. mkdocs-material has attracted 15% as many forks as stars, pg-aiguide 6%. pg-aiguide 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.
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Side by side
| mkdocs-material | pg-aiguide | |
|---|---|---|
| GitHub stars | ★ 28K | ★ 1.9K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-10-30 | 2026-11-03 |
| Forks | ⑂ 4.2K | ⑂ 120 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick mkdocs-material if
- You weight community size — 28K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick pg-aiguide if
- You want the pg-aiguide feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and pg-aiguide fits your workflow better
About mkdocs-material
A powerful documentation framework on top of MkDocs Write your documentation in Markdown and create a professional static site for your Open Source or commercial project in minutes – searchable, customizable, more than 60 languages, for all devices. Check out the demo – squidfunk.github.io/mkdocs material . Silver sponsors Bronze sponsors <img src=" height="58"
read the full mkdocs-material overview →
About pg-aiguide
pg aiguide AI optimized PostgreSQL expertise for coding assistants pg aiguide helps AI coding tools write dramatically better PostgreSQL code. It provides: Semantic search across the official PostgreSQL manual (version aware) AI optimized “skills” — curated, opinionated Postgres best practices used automatically by AI agents Extension ecosystem docs , starting with TimescaleDB, with more coming soon Use it as: Agent Skills via npx skills — works with Claude Code, Cursor, Codex, Gemini CLI, and 40+ other agents a public MCP server that can be used with any AI coding agent, or a Claude Code plugin optimized for…
read the full pg-aiguide overview →
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Frequently asked questions
Is mkdocs-material or pg-aiguide more popular?
mkdocs-material has 27,596 GitHub stars and pg-aiguide has 1,881. mkdocs-material has the larger community by that measure.
Are mkdocs-material and pg-aiguide free?
Both are open source. mkdocs-material is licensed under MIT and pg-aiguide under Apache-2.0. Neither carries a licence fee.
What is the difference between mkdocs-material and pg-aiguide?
mkdocs-material is written in Python and pg-aiguide 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, mkdocs-material or pg-aiguide?
Choose mkdocs-material if you want the larger community (27,596 stars) or its MIT licence terms. Choose pg-aiguide if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.