head to head · open source
Open WebUI vs DeepAnalyze
Open WebUI has 157,575 GitHub stars, 22,923 forks, 294 open issues and last shipped yesterday. DeepAnalyze has 4,769 stars, 751 forks, 27 open issues and last shipped yesterday. Open WebUI leads on adoption by 3,204% (157,575 vs 4,769 stars). Open WebUI is written in Python under a custom or non-standard licence; DeepAnalyze is written in Python under MIT. Open WebUI has attracted 15% as many forks as stars, DeepAnalyze 16%. DeepAnalyze 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
| Open WebUI | DeepAnalyze | |
|---|---|---|
| GitHub stars | ★ 158K | ★ 4.8K |
| License | Custom / other | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 23K | ⑂ 751 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Open WebUI if
- You weight community size — 158K stars and counting
- You want the Custom / other 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 Open WebUI
Open WebUI 👋 Open WebUI is a home for AI , a self hosted AI platform that's extensible , feature rich , user friendly, and built to run entirely offline . With support for Ollama and OpenAI compatible APIs , it gives you a powerful, provider agnostic interface for both local and cloud based models. Passionate about open source AI? Join our team → [!TIP] Looking for an Enterprise Plan? – Speak with Our Sales Team Today! For more information, be sure to check out our Open WebUI Documentation. Key Features of Open WebUI ⭐ 🚀 Effortless Setup : Install seamlessly via pip, uv, Docker, or Kubernetes (kubectl…
read the full Open WebUI 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 Open WebUI or DeepAnalyze more popular?
Open WebUI has 157,575 GitHub stars and DeepAnalyze has 4,769. Open WebUI has the larger community by that measure.
Are Open WebUI and DeepAnalyze free?
Both are open source. Open WebUI has no licence declared in this registry, and DeepAnalyze is licensed under MIT. Both are free to self-host.
What is the difference between Open WebUI and DeepAnalyze?
Open WebUI 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, Open WebUI or DeepAnalyze?
Choose Open WebUI if you want the larger community (157,575 stars) or its Custom / other licence terms. Choose DeepAnalyze if its feature set, stack or MIT licence fits better. Both are self-hostable.