head to head · open source
mkdocs-material vs Yuxi
mkdocs-material has 27,596 GitHub stars, 4,154 forks, 1 open issues and last shipped 6 days ago. Yuxi has 7,587 stars, 1,243 forks, 90 open issues and last shipped yesterday. mkdocs-material leads on adoption by 264% (27,596 vs 7,587 stars). mkdocs-material is written in Python under MIT; Yuxi is written in Python under MIT. mkdocs-material has attracted 15% as many forks as stars, Yuxi 16%. Yuxi was the more recently maintained of the two, and both are self-hostable with no licence fee.
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 | Yuxi | |
|---|---|---|
| GitHub stars | ★ 28K | ★ 7.6K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-10-30 | 2026-11-04 |
| Forks | ⑂ 4.2K | ⑂ 1.2K |
| 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 Yuxi if
- You want the Yuxi feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and Yuxi 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 Yuxi
Yuxi 是一个可私有部署的多租户知识智能体平台。它把知识库检索、知识图谱、LangGraph 多智能体编排、MCP/Skills、沙盒工具和权限管理放进同一个工作区。 项目主页 · 快速开始 · 演示视频 · 版本记录 · English Yuxi 能做什么 Yuxi 面向需要自己掌握数据、模型和权限的团队： 构建知识问答 ：上传文档，经过解析、分块和向量索引后，让智能体结合检索内容回答问题。 执行多步骤任务 ：组合工具、MCP、Skills、子智能体和沙盒，产出可预览、可下载的文件。 连接知识图谱 ：从 Milvus 知识库的文档块中抽取实体和关系，写入 Neo4j 并参与检索。 管理团队使用范围 ：按用户、部门和共享范围管理知识库、智能体、Skills 和模型。 对比运行质量 ：评估知识库的检索结果，也可以用 Langfuse Dataset 评估完整智能体任务。 技术栈 快速启动 前置条件 安装 Docker Engine 和 Docker Compose，并准备一个可用的大模型 API。当前仓库默认配置对应 v0.7.3 。 1. 获取代码并初始化 初始化脚本会创建 .env 、读取 SiliconFlow API Key，并为 JWT、API Key 派生和 Sandbox provisioner 生成独立的安全密钥。也可以手动复制 .env.template 并填写这些值。 2. 启动开发环境…
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Frequently asked questions
Is mkdocs-material or Yuxi more popular?
mkdocs-material has 27,596 GitHub stars and Yuxi has 7,587. mkdocs-material has the larger community by that measure.
Are mkdocs-material and Yuxi free?
Both are open source. mkdocs-material is licensed under MIT and Yuxi under MIT. Neither carries a licence fee.
What is the difference between mkdocs-material and Yuxi?
mkdocs-material is written in Python and Yuxi 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 Yuxi?
Choose mkdocs-material if you want the larger community (27,596 stars) or its MIT licence terms. Choose Yuxi if its feature set, stack or MIT licence fits better. Both are self-hostable.