head to head · open source
langchain vs wonderful-prompts
langchain has 148,892 GitHub stars, 25,031 forks, 492 open issues and last shipped yesterday. wonderful-prompts has 6,383 stars, 540 forks, 0 open issues and last shipped 2 months ago. langchain leads on adoption by 2,233% (148,892 vs 6,383 stars). langchain is written in Python under MIT; wonderful-prompts is written in various languages under MIT. langchain has attracted 17% as many forks as stars, wonderful-prompts 8%. langchain was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (chatgpt), 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
| langchain | wonderful-prompts | |
|---|---|---|
| GitHub stars | ★ 149K | ★ 6.4K |
| License | MIT | 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 langchain if
- You weight community size — 149K stars and counting
- You want the MIT 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 langchain
The agent engineering platform. LangChain is a framework for building agents and LLM powered applications. It helps you chain together interoperable components and third party integrations to simplify AI application development — all while future proofing decisions as the underlying technology evolves. [!TIP] Just getting started? Check out Deep Agents — a higher level package built on LangChain for agents that have built in capabilities for common usage patterns such as planning, subagents, file system usage, and more. Quickstart If you're looking for more advanced customization or agent orchestration, check…
read the full langchain overview →
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 →
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Frequently asked questions
Is langchain or wonderful-prompts more popular?
langchain has 148,892 GitHub stars and wonderful-prompts has 6,383. langchain has the larger community by that measure.
Are langchain and wonderful-prompts free?
Both are open source. langchain is licensed under MIT and wonderful-prompts under MIT. Neither carries a licence fee.
What is the difference between langchain and wonderful-prompts?
langchain 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, langchain or wonderful-prompts?
Choose langchain if you want the larger community (148,892 stars) or its MIT licence terms. Choose wonderful-prompts if its feature set, stack or MIT licence fits better. Both are self-hostable.