head to head · open source
generative-ai-for-beginners vs REA-Prompts
generative-ai-for-beginners has 122,172 GitHub stars, 64,870 forks, 23 open issues and last shipped 3 days ago. REA-Prompts has 2,507 stars, 453 forks, 0 open issues and last shipped yesterday. generative-ai-for-beginners leads on adoption by 4,773% (122,172 vs 2,507 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; REA-Prompts is written in Batchfile under MIT. generative-ai-for-beginners has attracted 53% as many forks as stars, REA-Prompts 18%. REA-Prompts was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (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 | REA-Prompts | |
|---|---|---|
| GitHub stars | ★ 122K | ★ 2.5K |
| License | MIT | MIT |
| Written in | Jupyter Notebook | Batchfile |
| Last push | 2026-10-24 | 2026-10-26 |
| Forks | ⑂ 65K | ⑂ 453 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick generative-ai-for-beginners if
- You weight community size — 122K 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 REA-Prompts if
- You want the REA-Prompts feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Batchfile
- You evaluated both and REA-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 REA-Prompts
REA Investigation Prompts (REAP) — Reverse Engineering with your Coding Agent A curated collection of prompts for REA (Reverse Engineer Anything) — the toolset that lets your AI coding agent inspect how software works, from native binaries, firmware and kernels to games, Electron apps, APKs and websites. Prompts are ready to paste into your agent. Replace everything in and keep each request focused on one feature — narrow questions get evidence backed answers. Star History Install as agent skills (recommended) setup.sh (macOS/Linux) or setup.bat (Windows) copies every prompt section into your coding agent's…
read the full REA-Prompts overview →
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Frequently asked questions
Is generative-ai-for-beginners or REA-Prompts more popular?
generative-ai-for-beginners has 122,172 GitHub stars and REA-Prompts has 2,507. generative-ai-for-beginners has the larger community by that measure.
Are generative-ai-for-beginners and REA-Prompts free?
Both are open source. generative-ai-for-beginners is licensed under MIT and REA-Prompts under MIT. Neither carries a licence fee.
What is the difference between generative-ai-for-beginners and REA-Prompts?
generative-ai-for-beginners is written in Jupyter Notebook and REA-Prompts in Batchfile. 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 REA-Prompts?
Choose generative-ai-for-beginners if you want the larger community (122,172 stars) or its MIT licence terms. Choose REA-Prompts if its feature set, stack or MIT licence fits better. Both are self-hostable.