head to head · open source

Dify vs Langflow

Dify has 156,215 GitHub stars, 24,668 forks, 1,067 open issues and last shipped today. Langflow has 154,959 stars, 10,109 forks, 1,056 open issues and last shipped today. Dify leads on adoption by 1% (156,215 vs 154,959 stars). Dify is written in TypeScript under a custom or non-standard licence; Langflow is written in Python under MIT. Dify has attracted 16% as many forks as stars, Langflow 7%. 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 Langflow ★ 155K category AI & Machine Learning

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Side by side

Dify Langflow
GitHub stars ★ 156K ★ 155K
License Custom / other MIT
Written in TypeScript Python
Last push 2026-09-18 2026-09-18
Forks ⑂ 25K ⑂ 10K
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 Langflow if

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

full Langflow 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 Langflow

Langflow is a visual builder platform for designing, testing, and deploying AI agents and retrieval augmented generation (RAG) pipelines. It lives in the Python based generative AI ecosystem and targets developers building intelligent applications. The project provides a low code interface to assemble components—such as LLMs, vector stores, memory modules, and tools—into executable workflows, while also exposing those workflows as APIs or MCP servers for integration into external applications.

read the full Langflow overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K 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 graphify 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

Frequently asked questions

Is Dify or Langflow more popular?

Dify has 156,215 GitHub stars and Langflow has 154,959. Dify has the larger community by that measure.

Are Dify and Langflow free?

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

What is the difference between Dify and Langflow?

Dify is written in TypeScript and Langflow 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 Langflow?

Choose Dify if you want the larger community (156,215 stars) or its Custom / other licence terms. Choose Langflow if its feature set, stack or MIT licence fits better. Both are self-hostable.