head to head · open source
generative-ai-for-beginners vs graphify
generative-ai-for-beginners has 119,956 GitHub stars, 63,149 forks, 23 open issues and last shipped yesterday. graphify has 118,991 stars, 11,505 forks, 1,350 open issues and last shipped 2 days ago. generative-ai-for-beginners leads on adoption by 1% (119,956 vs 118,991 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; graphify is written in Python under Apache-2.0. generative-ai-for-beginners has attracted 53% as many forks as stars, graphify 10%. generative-ai-for-beginners 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.
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Side by side
| generative-ai-for-beginners | graphify | |
|---|---|---|
| GitHub stars | ★ 120K | ★ 119K |
| License | MIT | Apache-2.0 |
| Written in | Jupyter Notebook | Python |
| Last push | 2026-09-17 | 2026-09-16 |
| Forks | ⑂ 63K | ⑂ 12K |
| 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 graphify if
- You want the graphify feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and graphify 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 graphify
graphify is an Apache 2.0 Python CLI and /graphify skill that turns a whole project — code, docs, SQL schemas, configs, PDFs, images, and video — into a queryable knowledge graph, built for developers and AI agent users in Claude Code, Cursor, Codex, and Gemini CLI who want to query a codebase instead of grepping through files.
read the full graphify overview →
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Frequently asked questions
Is generative-ai-for-beginners or graphify more popular?
generative-ai-for-beginners has 119,956 GitHub stars and graphify has 118,991. generative-ai-for-beginners has the larger community by that measure.
Are generative-ai-for-beginners and graphify free?
Both are open source. generative-ai-for-beginners is licensed under MIT and graphify under Apache-2.0. Neither carries a licence fee.
What is the difference between generative-ai-for-beginners and graphify?
generative-ai-for-beginners is written in Jupyter Notebook and graphify in Python. 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 graphify?
Choose generative-ai-for-beginners if you want the larger community (119,956 stars) or its MIT licence terms. Choose graphify if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.