head to head · open source
LobeChat vs DeepAnalyze
LobeChat has 83,687 GitHub stars, 16,028 forks, 922 open issues and last shipped yesterday. DeepAnalyze has 4,769 stars, 751 forks, 27 open issues and last shipped yesterday. LobeChat leads on adoption by 1,655% (83,687 vs 4,769 stars). LobeChat is written in TypeScript under a custom or non-standard licence; DeepAnalyze is written in Python under MIT. LobeChat has attracted 19% 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 2 topic tags (agent, 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
| LobeChat | DeepAnalyze | |
|---|---|---|
| GitHub stars | ★ 84K | ★ 4.8K |
| License | Custom / other | MIT |
| Written in | TypeScript | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 16K | ⑂ 751 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick LobeChat if
- You weight community size — 84K stars and counting
- You want the Custom / other license terms
- Your stack matches TypeScript
- 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 LobeChat
[![][image banner]][vercel link] LobeHub LobeHub organizes your agents into 7×24 operation. It hires, schedules, reports on your entire AI team. You stay in charge — without staying online. English · 简体中文 · [Official Site][official site] · [Changelog][changelog] · [Documents][docs] · [Blog][blog] · [Feedback][github issues link] [![][github release shield]][github release link] [![][docker release shield]][docker release link] [![][vercel shield]][vercel link] [![][discord shield]][discord link] [![][codecov shield]][codecov link] [![][github action test shield]][github action test link] [![][github action…
read the full LobeChat 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 LobeChat or DeepAnalyze more popular?
LobeChat has 83,687 GitHub stars and DeepAnalyze has 4,769. LobeChat has the larger community by that measure.
Are LobeChat and DeepAnalyze free?
Both are open source. LobeChat has no licence declared in this registry, and DeepAnalyze is licensed under MIT. Both are free to self-host.
What is the difference between LobeChat and DeepAnalyze?
LobeChat is written in TypeScript 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, LobeChat or DeepAnalyze?
Choose LobeChat if you want the larger community (83,687 stars) or its Custom / other licence terms. Choose DeepAnalyze if its feature set, stack or MIT licence fits better. Both are self-hostable.