head to head · open source

Dify vs JeecgBoot

Dify has 160,251 GitHub stars, 25,336 forks, 1,067 open issues and last shipped yesterday. JeecgBoot has 48,363 stars, 16,225 forks, 44 open issues and last shipped yesterday. Dify leads on adoption by 231% (160,251 vs 48,363 stars). Dify is written in Python under a custom or non-standard licence; JeecgBoot is written in Java under Apache-2.0. Dify has attracted 16% as many forks as stars, JeecgBoot 34%. Dify 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, llm, low-code), 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.

Dify ★ 160K JeecgBoot ★ 48K category AI & Machine Learning

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Side by side

Dify JeecgBoot
GitHub stars ★ 160K ★ 48K
License Custom / other Apache-2.0
Written in Python Java
Last push 2026-11-02 2026-11-02
Forks ⑂ 25K ⑂ 16K
Self-hosting Yes Yes
Data ownership Your server Your server

pick Dify if

  • You weight community size — 160K stars and counting
  • You want the Custom / other license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full Dify profile →

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

full JeecgBoot profile →

About Dify

Dify Cloud · Self hosting · Documentation · Dify edition overview Dify is an open source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features (including Opik, Langfuse, and Arize Phoenix) and more, letting you quickly go from prototype to production. Here's a list of the core features: Quick start Before installing Dify, make sure your machine meets the following minimum system requirements: CPU = 2 Core RAM = 4 GiB The easiest way to start the Dify server is through Docker Compose. Before running Dify with the…

read the full Dify 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 Dify or JeecgBoot more popular?

Dify has 160,251 GitHub stars and JeecgBoot has 48,363. Dify has the larger community by that measure.

Are Dify and JeecgBoot free?

Both are open source. Dify has no licence declared in this registry, and JeecgBoot is licensed under Apache-2.0. Both are free to self-host.

What is the difference between Dify and JeecgBoot?

Dify 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, Dify or JeecgBoot?

Choose Dify if you want the larger community (160,251 stars) or its Custom / other licence terms. Choose JeecgBoot if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.