head to head · open source
ComfyUI vs Dive
ComfyUI has 144,907 GitHub stars, 17,244 forks, 4,894 open issues and last shipped today. Dive has 1,823 stars, 172 forks, 34 open issues and last shipped 3 months ago. ComfyUI leads on adoption by 7,849% (144,907 vs 1,823 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 9%. 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.
← all 20902 open source comparisons
Side by side
| ComfyUI | Dive | |
|---|---|---|
| GitHub stars | ★ 145K | ★ 1.8K |
| License | GPL-3.0 | MIT |
| Written in | Python | TypeScript |
| Last push | 2026-11-04 | 2026-07-31 |
| Forks | ⑂ 17K | ⑂ 172 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick ComfyUI if
- You weight community size — 145K 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 The most powerful and modular AI engine for content creation. [![Website][website shield]][website url] [![Dynamic JSON Badge][discord shield]][discord url] [![Twitter][twitter shield]][twitter url] [![Matrix][matrix shield]][matrix url] [![][github release shield]][github release link] [![][github release date shield]][github release link] [![][github downloads shield]][github downloads link] [![][github downloads latest shield]][github downloads link] [matrix shield]: [matrix url]: [website shield]: [website url]: [discord shield]: [discord url]: [twitter shield]: [twitter url]: [github release…
read the full ComfyUI overview →
About Dive
Dive AI Agent Dive is an open source MCP Host Desktop Application that seamlessly integrates with any LLMs supporting function calling capabilities. ✨ Features 🎯 🌐 Universal LLM Support : Compatible with ChatGPT, Anthropic, Ollama and OpenAI compatible models 💻 Cross Platform : Available for Windows, MacOS, and Linux 🔄 Model Context Protocol : Enabling seamless MCP AI agent integration on both stdio and SSE mode ☁️ OAP Cloud Integration : One click access to managed MCP servers via OAPHub.ai eliminates complex local deployments 🏗️ Dual Architecture : Modern Tauri version alongside traditional Electron…
More in AI & Machine Learning
Related comparisons
More AI Interaction & Interfaces projects
Compare either of these against the rest of the AI Interaction & Interfaces field.
Frequently asked questions
Is ComfyUI or Dive more popular?
ComfyUI has 144,907 GitHub stars and Dive has 1,823. 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 (144,907 stars) or its GPL-3.0 licence terms. Choose Dive if its feature set, stack or MIT licence fits better. Both are self-hostable.