head to head · open source
generative-ai-for-beginners vs wonderful-prompts
generative-ai-for-beginners has 122,853 GitHub stars, 65,741 forks, 23 open issues and last shipped yesterday. wonderful-prompts has 6,383 stars, 540 forks, 0 open issues and last shipped 2 months ago. generative-ai-for-beginners leads on adoption by 1,825% (122,853 vs 6,383 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; wonderful-prompts is written in various languages under MIT. generative-ai-for-beginners has attracted 54% as many forks as stars, wonderful-prompts 8%. generative-ai-for-beginners was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (chatgpt, openai, prompt-engineering), 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
| generative-ai-for-beginners | wonderful-prompts | |
|---|---|---|
| GitHub stars | ★ 123K | ★ 6.4K |
| License | MIT | MIT |
| Written in | Jupyter Notebook | — |
| Last push | 2026-11-02 | 2026-08-25 |
| Forks | ⑂ 66K | ⑂ 540 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick generative-ai-for-beginners if
- You weight community size — 123K stars and counting
- You want the MIT license terms
- Your stack matches Jupyter Notebook
- 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 generative-ai-for-beginners
21 Lessons teaching everything you need to know to start building Generative AI applications 🌐 Multi Language Support Supported via GitHub Action (Automated & Always Up to Date) Arabic Bengali Bulgarian Burmese (Myanmar) Chinese (Simplified) Chinese (Traditional, Hong Kong) Chinese (Traditional, Macau) Chinese (Traditional, Taiwan) Croatian Czech Danish Dutch Estonian Finnish French German Greek Hebrew Hindi Hungarian Indonesian Italian Japanese Kannada Khmer Korean Lithuanian Malay Malayalam Marathi Nepali Nigerian Pidgin Norwegian Persian (Farsi) Polish Portuguese (Brazil) Portuguese (Portugal) Punjabi…
read the full generative-ai-for-beginners 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 generative-ai-for-beginners or wonderful-prompts more popular?
generative-ai-for-beginners has 122,853 GitHub stars and wonderful-prompts has 6,383. generative-ai-for-beginners has the larger community by that measure.
Are generative-ai-for-beginners and wonderful-prompts free?
Both are open source. generative-ai-for-beginners is licensed under MIT and wonderful-prompts under MIT. Neither carries a licence fee.
What is the difference between generative-ai-for-beginners and wonderful-prompts?
generative-ai-for-beginners is written in Jupyter Notebook 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, generative-ai-for-beginners or wonderful-prompts?
Choose generative-ai-for-beginners if you want the larger community (122,853 stars) or its MIT licence terms. Choose wonderful-prompts if its feature set, stack or MIT licence fits better. Both are self-hostable.