head to head · open source
headroom vs JeecgBoot
headroom has 78,773 GitHub stars, 6,155 forks, 643 open issues and last shipped yesterday. JeecgBoot has 48,367 stars, 16,223 forks, 44 open issues and last shipped yesterday. headroom leads on adoption by 63% (78,773 vs 48,367 stars). headroom is written in Python under Apache-2.0; JeecgBoot is written in Java under Apache-2.0. headroom has attracted 8% as many forks as stars, JeecgBoot 34%. headroom was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 4 topic tags (agent, ai, claude-code, llm), 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
| headroom | JeecgBoot | |
|---|---|---|
| GitHub stars | ★ 79K | ★ 48K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Java |
| Last push | 2026-11-04 | 2026-11-04 |
| Forks | ⑂ 6.2K | ⑂ 16K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick headroom if
- You weight community size — 79K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick JeecgBoot if
- You want the JeecgBoot feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Java
- You evaluated both and JeecgBoot fits your workflow better
About headroom
Quickstart · Install · Proof · Agents · Docs · Discord · llms.txt AI agents / LLMs: read /llms.txt here, or fetch the live index · full docs blob . Headroom compresses everything your AI agent reads — tool outputs, logs, RAG chunks, files, and conversation history — before it reaches the LLM. Same answers, fraction of the tokens. Compression runs on your machine; no prompt or file content is sent anywhere to be compressed. 10,144 → 1,260 tokens. The same FATAL found. What it does Library — compress(messages) in Python or TypeScript, inline in any app. Proxy — headroom proxy port 8787 , zero code changes, any…
read the full headroom overview →
About JeecgBoot
中文 English 日本語 JeecgBoot AI低代码平台 =============== 当前最新版本： 3.9.5（2026 08 27） 项目介绍 企业级 AI 低代码开发平台 JeecgBoot 是一款 AI 低代码开发平台，以 低代码开发、AI 应用平台和 AI 知识库 为核心能力。随着 AI Skills 自然语言编程的发布，平台迈入低代码 v2.0：开发者可用一句话生成完整系统或业务模块，由 AI 自动完成前后端代码、建表 SQL 和菜单权限，生成即可运行；也可快速构建企业 AI 应用和智能知识库，将更多精力投入核心业务。 平台内置完整的 AI 应用开发能力，包括 AI 聊天助手、知识库、流程编排、MCP 和插件，并兼容 ChatGPT、DeepSeek、Ollama 等主流大模型。 JeecgBoot 引领 “AI 生成 → 在线配置 → 代码生成 → 手工合并” 的 AI 低代码开发模式，帮助解决 Java 项目中 80% 的重复工作，在大幅提升开发效率的同时保留源码级扩展能力，兼顾效率与灵活性。 平台采用主流前后端分离技术栈，前端基于 Ant Design Vue、Vue3、TypeScript 和 Vite，后端基于 Spring Boot 4、Spring Cloud Alibaba 和 MyBatis
read the full JeecgBoot overview →
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Frequently asked questions
Is headroom or JeecgBoot more popular?
headroom has 78,773 GitHub stars and JeecgBoot has 48,367. headroom has the larger community by that measure.
Are headroom and JeecgBoot free?
Both are open source. headroom is licensed under Apache-2.0 and JeecgBoot under Apache-2.0. Neither carries a licence fee.
What is the difference between headroom and JeecgBoot?
headroom is written in Python and JeecgBoot in Java. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, headroom or JeecgBoot?
Choose headroom if you want the larger community (78,773 stars) or its Apache-2.0 licence terms. Choose JeecgBoot if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.