head to head · open source
mkdocs-material vs PandaWiki
mkdocs-material has 27,596 GitHub stars, 4,154 forks, 1 open issues and last shipped 5 days ago. PandaWiki has 10,458 stars, 1,042 forks, 324 open issues and last shipped 14 days ago. mkdocs-material leads on adoption by 164% (27,596 vs 10,458 stars). mkdocs-material is written in Python under MIT; PandaWiki is written in TypeScript under AGPL-3.0. mkdocs-material has attracted 15% as many forks as stars, PandaWiki 10%. mkdocs-material 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 | PandaWiki | |
|---|---|---|
| GitHub stars | ★ 28K | ★ 10K |
| License | MIT | AGPL-3.0 |
| Written in | Python | TypeScript |
| Last push | 2026-10-30 | 2026-10-21 |
| Forks | ⑂ 4.2K | ⑂ 1.0K |
| 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 PandaWiki if
- You want the PandaWiki feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches TypeScript
- You evaluated both and PandaWiki 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 PandaWiki
📖 官方网站 🙋♂️ 微信交流群 👋 项目介绍 PandaWiki 是一款 AI 大模型驱动的 开源知识库搭建系统 ，帮助你快速构建智能化的 产品文档、技术文档、FAQ、博客系统 ，借助大模型的力量为你提供 AI 创作、AI 问答、AI 搜索 等能力。 ⚡️ 界面展示 🔥 功能与特色 AI 驱动智能化：AI 辅助创作、AI 辅助问答、AI 辅助搜索。 强大的富文本编辑能力：兼容 Markdown 和 HTML，支持导出为 word、pdf、markdown 等多种格式。 轻松与第三方应用进行集成：支持做成网页挂件挂在其他网站上，支持做成钉钉、飞书、企业微信等聊天机器人。 通过第三方来源导入内容：根据网页 URL 导入、通过网站 Sitemap 导入、通过 RSS 订阅、通过离线文件导入等。 🚀 上手指南 安装 PandaWiki 你需要一台支持 Docker 20.x 以上版本的 Linux 系统来安装 PandaWiki。 使用 root 权限登录你的服务器，然后执行以下命令。 根据命令提示的选项进行安装，命令执行过程将会持续几分钟，请耐心等待。 关于安装与部署的更多细节请参考 安装 PandaWiki。 登录 PandaWiki 在上一步中，安装命令执行结束后，你的终端会输出以下内容。 使用浏览器打开上述内容中的 “访问地址”，你将看到 PandaWiki 的控制台登录入口，使用上述内容中的 “用户名”…
read the full PandaWiki overview →
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Frequently asked questions
Is mkdocs-material or PandaWiki more popular?
mkdocs-material has 27,596 GitHub stars and PandaWiki has 10,458. mkdocs-material has the larger community by that measure.
Are mkdocs-material and PandaWiki free?
Both are open source. mkdocs-material is licensed under MIT and PandaWiki under AGPL-3.0. Neither carries a licence fee.
What is the difference between mkdocs-material and PandaWiki?
mkdocs-material is written in Python and PandaWiki 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, mkdocs-material or PandaWiki?
Choose mkdocs-material if you want the larger community (27,596 stars) or its MIT licence terms. Choose PandaWiki if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.