head to head · open source
ComfyUI vs DeepAnalyze
ComfyUI has 144,907 GitHub stars, 17,244 forks, 4,894 open issues and last shipped yesterday. DeepAnalyze has 4,781 stars, 750 forks, 27 open issues and last shipped 3 days ago. ComfyUI leads on adoption by 2,931% (144,907 vs 4,781 stars). ComfyUI is written in Python under GPL-3.0; DeepAnalyze is written in Python under MIT. ComfyUI has attracted 12% as many forks as stars, DeepAnalyze 16%. 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 | DeepAnalyze | |
|---|---|---|
| GitHub stars | ★ 145K | ★ 4.8K |
| License | GPL-3.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-11-04 | 2026-11-02 |
| Forks | ⑂ 17K | ⑂ 750 |
| 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 DeepAnalyze if
- You want the DeepAnalyze feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and DeepAnalyze 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 DeepAnalyze
DeepAnalyze: Agentic Large Language Models for Autonomous Data Science Authors : Shaolei Zhang, Ju Fan , Meihao Fan, Guoliang Li, Xiaoyong Du Renmin University of China, Tsinghua University DeepAnalyze is the first agentic LLM for autonomous data science. It can autonomously complete a wide range of data centric tasks without human intervention, supporting: 🛠 Entire data science pipeline : Automatically perform any data science tasks such as data preparation, analysis, modeling, visualization, and report generation. 🔍 Open ended data research : Conduct deep research on diverse data sources, including…
read the full DeepAnalyze overview →
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Frequently asked questions
Is ComfyUI or DeepAnalyze more popular?
ComfyUI has 144,907 GitHub stars and DeepAnalyze has 4,781. ComfyUI has the larger community by that measure.
Are ComfyUI and DeepAnalyze free?
Both are open source. ComfyUI is licensed under GPL-3.0 and DeepAnalyze under MIT. Neither carries a licence fee.
What is the difference between ComfyUI and DeepAnalyze?
ComfyUI is written in Python and DeepAnalyze 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, ComfyUI or DeepAnalyze?
Choose ComfyUI if you want the larger community (144,907 stars) or its GPL-3.0 licence terms. Choose DeepAnalyze if its feature set, stack or MIT licence fits better. Both are self-hostable.