head to head · open source
generative-ai-for-beginners vs code2prompt
generative-ai-for-beginners has 119,980 GitHub stars, 63,157 forks, 23 open issues and last shipped yesterday. code2prompt has 7,657 stars, 438 forks, 16 open issues and last shipped 7 days ago. generative-ai-for-beginners leads on adoption by 1,467% (119,980 vs 7,657 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; code2prompt is written in Rust under MIT. generative-ai-for-beginners has attracted 53% as many forks as stars, code2prompt 6%. generative-ai-for-beginners was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 4 topic tags (ai, chatgpt, gpt, 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 | code2prompt | |
|---|---|---|
| GitHub stars | ★ 120K | ★ 7.7K |
| License | MIT | MIT |
| Written in | Jupyter Notebook | Rust |
| Last push | 2026-09-17 | 2026-09-11 |
| Forks | ⑂ 63K | ⑂ 438 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick generative-ai-for-beginners if
- You weight community size — 120K 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 code2prompt if
- You want the code2prompt feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Rust
- You evaluated both and code2prompt fits your workflow better
About generative-ai-for-beginners
Generative AI for Beginners is Microsoft's free, MIT licensed curriculum of 21 Jupyter Notebook lessons that teaches developers how to start building generative AI applications, aimed at newcomers who want a structured, self paced path instead of scattered documentation.
read the full generative-ai-for-beginners overview →
About code2prompt
code2prompt is a Rust command line tool, also shipped as a Python SDK and an MCP server, that ingests a codebase and formats it into a single LLM prompt with a source tree, prompt templating, and token counting, for developers and agent builders who need to hand repository context to ChatGPT, Claude, or GPT.
read the full code2prompt overview →
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Frequently asked questions
Is generative-ai-for-beginners or code2prompt more popular?
generative-ai-for-beginners has 119,980 GitHub stars and code2prompt has 7,657. generative-ai-for-beginners has the larger community by that measure.
Are generative-ai-for-beginners and code2prompt free?
Both are open source. generative-ai-for-beginners is licensed under MIT and code2prompt under MIT. Neither carries a licence fee.
What is the difference between generative-ai-for-beginners and code2prompt?
generative-ai-for-beginners is written in Jupyter Notebook and code2prompt in Rust. 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 code2prompt?
Choose generative-ai-for-beginners if you want the larger community (119,980 stars) or its MIT licence terms. Choose code2prompt if its feature set, stack or MIT licence fits better. Both are self-hostable.