head to head · open source
AnythingLLM vs DeepAnalyze
AnythingLLM has 67,862 GitHub stars, 7,658 forks, 311 open issues and last shipped 4 days ago. DeepAnalyze has 4,769 stars, 751 forks, 27 open issues and last shipped yesterday. AnythingLLM leads on adoption by 1,323% (67,862 vs 4,769 stars). AnythingLLM is written in JavaScript under MIT; DeepAnalyze is written in Python under MIT. AnythingLLM has attracted 11% 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 (agentic-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
| AnythingLLM | DeepAnalyze | |
|---|---|---|
| GitHub stars | ★ 68K | ★ 4.8K |
| License | MIT | MIT |
| Written in | JavaScript | Python |
| Last push | 2026-10-30 | 2026-11-02 |
| Forks | ⑂ 7.7K | ⑂ 751 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick AnythingLLM if
- You weight community size — 68K stars and counting
- You want the MIT license terms
- Your stack matches JavaScript
- 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 AnythingLLM
[!NOTE] We are also working on Open Computer which gives an entire computer environment for AI Agents to use. This will bring AnythingLLM's agent capabilities to a new level and a novel UX paradigm for AI Agent use. ⭐ Star the repo to stay updated! AnythingLLM: The all in one AI app you were looking for. Chat with your docs, use AI Agents, hyper configurable, multi user, & no frustrating setup required. Docs Hosted Instance English · 简体中文 · 日本語 👉 AnythingLLM for desktop (Mac, Windows, & Linux)! Download Now Chat with your docs. Automate complex workflows with AI Agents. Hyper configurable, multi user ready…
read the full AnythingLLM 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 AnythingLLM or DeepAnalyze more popular?
AnythingLLM has 67,862 GitHub stars and DeepAnalyze has 4,769. AnythingLLM has the larger community by that measure.
Are AnythingLLM and DeepAnalyze free?
Both are open source. AnythingLLM is licensed under MIT and DeepAnalyze under MIT. Neither carries a licence fee.
What is the difference between AnythingLLM and DeepAnalyze?
AnythingLLM is written in JavaScript 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, AnythingLLM or DeepAnalyze?
Choose AnythingLLM if you want the larger community (67,862 stars) or its MIT licence terms. Choose DeepAnalyze if its feature set, stack or MIT licence fits better. Both are self-hostable.