head to head · open source
Dify vs generative-ai-for-beginners
Dify has 156,167 GitHub stars, 24,658 forks, 1,067 open issues and last shipped yesterday. generative-ai-for-beginners has 119,956 stars, 63,149 forks, 23 open issues and last shipped yesterday. Dify leads on adoption by 30% (156,167 vs 119,956 stars). Dify is written in TypeScript under a custom or non-standard licence; generative-ai-for-beginners is written in Jupyter Notebook under MIT. Dify has attracted 16% as many forks as stars, generative-ai-for-beginners 53%. Dify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai, gpt), 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
| Dify | generative-ai-for-beginners | |
|---|---|---|
| GitHub stars | ★ 156K | ★ 120K |
| License | Custom / other | MIT |
| Written in | TypeScript | Jupyter Notebook |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 25K | ⑂ 63K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Dify if
- You weight community size — 156K stars and counting
- You want the Custom / other license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick generative-ai-for-beginners if
- You want the generative-ai-for-beginners feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Jupyter Notebook
- You evaluated both and generative-ai-for-beginners fits your workflow better
About Dify
Dify is an open source LLM application development platform built in TypeScript. It provides a visual interface for designing, testing, and deploying AI workflows, RAG pipelines, and agentic systems without writing extensive code. The platform lives in the generative AI development ecosystem and targets teams needing to move from prototype to production using consistent tooling across environments.
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 →
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Frequently asked questions
Is Dify or generative-ai-for-beginners more popular?
Dify has 156,167 GitHub stars and generative-ai-for-beginners has 119,956. Dify has the larger community by that measure.
Are Dify and generative-ai-for-beginners free?
Both are open source. Dify has no licence declared in this registry, and generative-ai-for-beginners is licensed under MIT. Both are free to self-host.
What is the difference between Dify and generative-ai-for-beginners?
Dify is written in TypeScript and generative-ai-for-beginners in Jupyter Notebook. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Dify or generative-ai-for-beginners?
Choose Dify if you want the larger community (156,167 stars) or its Custom / other licence terms. Choose generative-ai-for-beginners if its feature set, stack or MIT licence fits better. Both are self-hostable.