head to head · open source

Dify vs graphify

Dify has 156,167 GitHub stars, 24,658 forks, 1,067 open issues and last shipped yesterday. graphify has 118,991 stars, 11,505 forks, 1,350 open issues and last shipped 2 days ago. Dify leads on adoption by 31% (156,167 vs 118,991 stars). Dify is written in TypeScript under a custom or non-standard licence; graphify is written in Python under Apache-2.0. Dify has attracted 16% as many forks as stars, graphify 10%. Dify was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

Dify ★ 156K graphify ★ 119K category AI & Machine Learning

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Side by side

Dify graphify
GitHub stars ★ 156K ★ 119K
License Custom / other Apache-2.0
Written in TypeScript Python
Last push 2026-09-17 2026-09-16
Forks ⑂ 25K ⑂ 12K
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

full Dify profile →

pick graphify if

  • You want the graphify feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and graphify fits your workflow better

full graphify profile →

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.

read the full Dify overview →

About graphify

graphify is an Apache 2.0 Python CLI and /graphify skill that turns a whole project — code, docs, SQL schemas, configs, PDFs, images, and video — into a queryable knowledge graph, built for developers and AI agent users in Claude Code, Cursor, Codex, and Gemini CLI who want to query a codebase instead of grepping through files.

read the full graphify overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 246K Ollama ★ 181K Open WebUI ★ 152K langchain ★ 147K ponytail ★ 141K

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Compare either of these against the rest of the AI Development Platforms field.

Dify vs langchain Dify vs ponytail Dify vs generative-ai-for-beginners Dify vs claude-mem Dify vs ragflow Dify vs PaddleOCR Dify vs Agent-Reach Dify vs headroom Dify vs Mem0 Dify vs daily_stock_analysis Dify vs LiteLLM Dify vs Multica

Frequently asked questions

Is Dify or graphify more popular?

Dify has 156,167 GitHub stars and graphify has 118,991. Dify has the larger community by that measure.

Are Dify and graphify free?

Both are open source. Dify has no licence declared in this registry, and graphify is licensed under Apache-2.0. Both are free to self-host.

What is the difference between Dify and graphify?

Dify is written in TypeScript and graphify 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 graphify?

Choose Dify if you want the larger community (156,167 stars) or its Custom / other licence terms. Choose graphify if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.