head to head · open source
Dify vs graphrag
Dify has 156,167 GitHub stars, 24,658 forks, 1,067 open issues and last shipped yesterday. graphrag has 36,016 stars, 3,794 forks, 47 open issues and last shipped 2 days ago. Dify leads on adoption by 334% (156,167 vs 36,016 stars). Dify is written in TypeScript under a custom or non-standard licence; graphrag is written in Python under MIT. Dify has attracted 16% as many forks as stars, graphrag 11%. Dify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (gpt, 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 | graphrag | |
|---|---|---|
| GitHub stars | ★ 156K | ★ 36K |
| License | Custom / other | MIT |
| Written in | TypeScript | Python |
| Last push | 2026-09-17 | 2026-09-16 |
| Forks | ⑂ 25K | ⑂ 3.8K |
| 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 graphrag if
- You want the graphrag feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and graphrag 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 graphrag
GraphRAG is a modular, Python based, MIT licensed data pipeline and transformation suite from Microsoft Research that uses large language models to extract structured data from unstructured text, then exploits the resulting knowledge graph to form targeted context for question answering over private data.
read the full graphrag overview →
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Frequently asked questions
Is Dify or graphrag more popular?
Dify has 156,167 GitHub stars and graphrag has 36,016. Dify has the larger community by that measure.
Are Dify and graphrag free?
Both are open source. Dify has no licence declared in this registry, and graphrag is licensed under MIT. Both are free to self-host.
What is the difference between Dify and graphrag?
Dify is written in TypeScript and graphrag 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, Dify or graphrag?
Choose Dify if you want the larger community (156,167 stars) or its Custom / other licence terms. Choose graphrag if its feature set, stack or MIT licence fits better. Both are self-hostable.