head to head · open source
Dify vs wonderful-prompts
Dify has 160,251 GitHub stars, 25,336 forks, 1,067 open issues and last shipped yesterday. wonderful-prompts has 6,383 stars, 540 forks, 0 open issues and last shipped 2 months ago. Dify leads on adoption by 2,411% (160,251 vs 6,383 stars). Dify is written in Python under a custom or non-standard licence; wonderful-prompts is written in various languages under MIT. Dify has attracted 16% as many forks as stars, wonderful-prompts 8%. Dify 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.
← all 20902 open source comparisons
Side by side
| Dify | wonderful-prompts | |
|---|---|---|
| GitHub stars | ★ 160K | ★ 6.4K |
| License | Custom / other | MIT |
| Written in | Python | — |
| Last push | 2026-11-02 | 2026-08-25 |
| Forks | ⑂ 25K | ⑂ 540 |
| 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
pick wonderful-prompts if
- You want the wonderful-prompts feature set and don't need the biggest community
- You prefer the MIT license terms
- You evaluated both and wonderful-prompts fits your workflow better
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…
About wonderful-prompts
Prompts 精选 🚀 🔥中文 prompts 精选,提升 ChatGPT 可玩性和可用性!上百个高质量 prompt 让你得心应手的驾驭 AI 🚀。 本项目是 ChatGPT 中文指南作者 优化、精选的系列中文 ChatGPT Prompts,并提供图文使用示例,让大家能够更好的学习使用 ChatGPT。 ChatGPT 使用教程、精选开源项目、AI 工具等可查看:ChatGPT 中文指南 🔥 如何编写高质量 ChatGPT 咒语可使用:LangGPT 🔥 项目持续更新中,欢迎通过 issue 提交有趣的 Prompt 更多精彩提示词:Prompt 飞书知识库 🆕 2026 提示:本仓库的提示词对 GPT 5、Claude、DeepSeek V4、Gemini 等当代模型通用。面向思考模型(DeepSeek V4 / Claude 扩展思考 / GPT 5 推理模式)写提示时,重点是说清目标与验收标准、少用 few shot、不必再写"一步一步思考"——详见 DeepSeek V4 思考模式提示技巧 与 awesome deepseek prompts、awesome claude prompts。 目录 Prompts 精选 🚀 目录 Prompt 生成优化 Prompt 工程师 Prompt 工程专家 Stable Audio 音乐提示词生成器 Stable Diffusion 提示词生成…
read the full wonderful-prompts overview →
More in AI & Machine Learning
Related comparisons
More AI Development Platforms projects
Compare either of these against the rest of the AI Development Platforms field.
Frequently asked questions
Is Dify or wonderful-prompts more popular?
Dify has 160,251 GitHub stars and wonderful-prompts has 6,383. Dify has the larger community by that measure.
Are Dify and wonderful-prompts free?
Both are open source. Dify has no licence declared in this registry, and wonderful-prompts is licensed under MIT. Both are free to self-host.
What is the difference between Dify and wonderful-prompts?
Dify is written in Python and wonderful-prompts in various languages. 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 wonderful-prompts?
Choose Dify if you want the larger community (160,251 stars) or its Custom / other licence terms. Choose wonderful-prompts if its feature set, stack or MIT licence fits better. Both are self-hostable.