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.
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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
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
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.
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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.