head to head · open source
Dify vs graphrag
Dify has 160,251 GitHub stars, 25,336 forks, 1,067 open issues and last shipped yesterday. graphrag has 36,531 stars, 3,867 forks, 47 open issues and last shipped yesterday. Dify leads on adoption by 339% (160,251 vs 36,531 stars). Dify is written in Python 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 | ★ 160K | ★ 37K |
| License | Custom / other | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 25K | ⑂ 3.9K |
| 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 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 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 graphrag
GraphRAG [!WARNING] GraphRAG is a research project that explores the functional use of graphs to form a targeted context for question answering. Since our first release in July 2024 the capabilities of frontier models have changed dramatically, and our portfolio of research projects has diversified to match. This project is largely in maintenance mode, and won't be accepting new PRs or implementing new features. We'll perform bug fixes and dependency updates as appropriate, particularly to address CVEs as they arise. 👉 Microsoft Research Blog Post 👉 Read the docs 👉 GraphRAG Arxiv Overview The GraphRAG project…
read the full graphrag overview →
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Frequently asked questions
Is Dify or graphrag more popular?
Dify has 160,251 GitHub stars and graphrag has 36,531. 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 Python 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 (160,251 stars) or its Custom / other licence terms. Choose graphrag if its feature set, stack or MIT licence fits better. Both are self-hostable.