head to head · open source
Dify vs GenerativeAIExamples
Dify has 156,215 GitHub stars, 24,668 forks, 1,067 open issues and last shipped today. GenerativeAIExamples has 4,183 stars, 1,098 forks, 84 open issues and last shipped 9 days ago. Dify leads on adoption by 3,635% (156,215 vs 4,183 stars). Dify is written in TypeScript under a custom or non-standard licence; GenerativeAIExamples is written in Jupyter Notebook under Apache-2.0. Dify has attracted 16% as many forks as stars, GenerativeAIExamples 26%. Dify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), 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 | GenerativeAIExamples | |
|---|---|---|
| GitHub stars | ★ 156K | ★ 4.2K |
| License | Custom / other | Apache-2.0 |
| Written in | TypeScript | Jupyter Notebook |
| Last push | 2026-09-18 | 2026-09-09 |
| Forks | ⑂ 25K | ⑂ 1.1K |
| 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 GenerativeAIExamples if
- You want the GenerativeAIExamples feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Jupyter Notebook
- You evaluated both and GenerativeAIExamples 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 GenerativeAIExamples
NVIDIA Generative AI Examples This repository is a starting point for developers looking to integrate with the NVIDIA software ecosystem to speed up their generative AI systems. Whether you are building RAG pipelines, agentic workflows, or fine tuning models, this repository will help you integrate NVIDIA, seamlessly and natively, with your development stack. Table of Contents What's New? Data Flywheel Safer Agentic AI Knowledge Graph RAG Agentic Workflows with Llama 3.1 RAG with Local NIM Deployment and LangChain Vision NIM Workflows Try it Now! Data Flywheel Tool Calling Notebooks RAG RAG Notebooks RAG Examples…
read the full GenerativeAIExamples overview →
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Frequently asked questions
Is Dify or GenerativeAIExamples more popular?
Dify has 156,215 GitHub stars and GenerativeAIExamples has 4,183. Dify has the larger community by that measure.
Are Dify and GenerativeAIExamples free?
Both are open source. Dify has no licence declared in this registry, and GenerativeAIExamples is licensed under Apache-2.0. Both are free to self-host.
What is the difference between Dify and GenerativeAIExamples?
Dify is written in TypeScript and GenerativeAIExamples 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 GenerativeAIExamples?
Choose Dify if you want the larger community (156,215 stars) or its Custom / other licence terms. Choose GenerativeAIExamples if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.