head to head · open source

ComfyUI vs Dive

ComfyUI has 133,963 GitHub stars, 15,874 forks, 4,894 open issues and last shipped today. Dive has 1,829 stars, 176 forks, 34 open issues and last shipped 2 months ago. ComfyUI leads on adoption by 7,224% (133,963 vs 1,829 stars). ComfyUI is written in Python under GPL-3.0; Dive is written in TypeScript under MIT. ComfyUI has attracted 12% as many forks as stars, Dive 10%. ComfyUI was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai), 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.

ComfyUI ★ 134K Dive ★ 1.8K category AI & Machine Learning

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Side by side

ComfyUI Dive
GitHub stars ★ 134K ★ 1.8K
License GPL-3.0 MIT
Written in Python TypeScript
Last push 2026-09-20 2026-07-31
Forks ⑂ 16K ⑂ 176
Self-hosting Yes Yes
Data ownership Your server Your server

pick ComfyUI if

  • You weight community size — 134K stars and counting
  • You want the GPL-3.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full ComfyUI profile →

pick Dive if

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

full Dive profile →

About ComfyUI

ComfyUI is a GPL 3.0 licensed Python and PyTorch node graph application, local API, and backend for running diffusion models across image, video, audio, 3D, and text workflows, built for visual professionals who want control over every model, parameter, and output, and for developers who embed those workflows into production pipelines.

read the full ComfyUI overview →

About Dive

Dive is an open source desktop application that acts as a Model Context Protocol host for large language models that support function calling. It lives in the AI and machine learning ecosystem for AI interaction interfaces, and it is a TypeScript project under the MIT license. It connects users to ChatGPT, Anthropic, Ollama, and OpenAI compatible models while supporting MCP servers through stdio and SSE modes.

read the full Dive overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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More AI Interaction & Interfaces projects

Compare either of these against the rest of the AI Interaction & Interfaces field.

ComfyUI vs OpenClaw ComfyUI vs Hermes Agent ComfyUI vs Open WebUI ComfyUI vs odysseus ComfyUI vs LobeChat ComfyUI vs AnythingLLM ComfyUI vs Cherry Studio ComfyUI vs nanobot ComfyUI vs Jan ComfyUI vs LibreChat ComfyUI vs chatbox ComfyUI vs AstrBot

Frequently asked questions

Is ComfyUI or Dive more popular?

ComfyUI has 133,963 GitHub stars and Dive has 1,829. ComfyUI has the larger community by that measure.

Are ComfyUI and Dive free?

Both are open source. ComfyUI is licensed under GPL-3.0 and Dive under MIT. Neither carries a licence fee.

What is the difference between ComfyUI and Dive?

ComfyUI is written in Python and Dive in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, ComfyUI or Dive?

Choose ComfyUI if you want the larger community (133,963 stars) or its GPL-3.0 licence terms. Choose Dive if its feature set, stack or MIT licence fits better. Both are self-hostable.