head to head · open source

ComfyUI vs Pearl

ComfyUI has 133,963 GitHub stars, 15,874 forks, 4,894 open issues and last shipped today. Pearl has 1,095 stars, 181 forks, 40 open issues and last shipped 5 months ago. ComfyUI leads on adoption by 12,134% (133,963 vs 1,095 stars). ComfyUI is written in Python under GPL-3.0; Pearl is written in TypeScript under Apache-2.0. ComfyUI has attracted 12% as many forks as stars, Pearl 17%. 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 Pearl ★ 1.1K category AI & Machine Learning

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Side by side

ComfyUI Pearl
GitHub stars ★ 134K ★ 1.1K
License GPL-3.0 Apache-2.0
Written in Python TypeScript
Last push 2026-09-20 2026-04-30
Forks ⑂ 16K ⑂ 181
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 Pearl if

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

full Pearl 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 Pearl

Bubble Lab is an open core, TypeScript workflow engine that powers the Slack native Bubble Lab platform and its AI assistant Pearl, and it is aimed at teams that want operational work automated inside Slack as well as at developers and organisations that want to host that same execution engine on their own infrastructure.

read the full Pearl 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 Pearl more popular?

ComfyUI has 133,963 GitHub stars and Pearl has 1,095. ComfyUI has the larger community by that measure.

Are ComfyUI and Pearl free?

Both are open source. ComfyUI is licensed under GPL-3.0 and Pearl under Apache-2.0. Neither carries a licence fee.

What is the difference between ComfyUI and Pearl?

ComfyUI is written in Python and Pearl 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 Pearl?

Choose ComfyUI if you want the larger community (133,963 stars) or its GPL-3.0 licence terms. Choose Pearl if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.