head to head · open source
Dify vs generative-ai-for-beginners
Dify has 160,251 GitHub stars, 25,336 forks, 1,067 open issues and last shipped yesterday. generative-ai-for-beginners has 122,853 stars, 65,741 forks, 23 open issues and last shipped yesterday. Dify leads on adoption by 30% (160,251 vs 122,853 stars). Dify is written in Python 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 54%. 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 | ★ 160K | ★ 123K |
| License | Custom / other | MIT |
| Written in | Python | Jupyter Notebook |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 25K | ⑂ 66K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Dify if
- You weight community size — 160K stars and counting
- You want the Custom / other license terms
- Your stack matches Python
- 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 Cloud · Self hosting · Documentation · Dify edition overview Dify is an open source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features (including Opik, Langfuse, and Arize Phoenix) and more, letting you quickly go from prototype to production. Here's a list of the core features: Quick start Before installing Dify, make sure your machine meets the following minimum system requirements: CPU = 2 Core RAM = 4 GiB The easiest way to start the Dify server is through Docker Compose. Before running Dify with the…
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 →
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Frequently asked questions
Is Dify or generative-ai-for-beginners more popular?
Dify has 160,251 GitHub stars and generative-ai-for-beginners has 122,853. 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 Python 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 (160,251 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.