head to head · open source
nanobot vs DeepAnalyze
nanobot has 49,806 GitHub stars, 8,711 forks, 775 open issues and last shipped yesterday. DeepAnalyze has 4,781 stars, 750 forks, 27 open issues and last shipped 3 days ago. nanobot leads on adoption by 942% (49,806 vs 4,781 stars). nanobot is written in Python under MIT; DeepAnalyze is written in Python under MIT. nanobot has attracted 17% as many forks as stars, DeepAnalyze 16%. nanobot was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (chatbot), 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
| nanobot | DeepAnalyze | |
|---|---|---|
| GitHub stars | ★ 50K | ★ 4.8K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-11-04 | 2026-11-02 |
| Forks | ⑂ 8.7K | ⑂ 750 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick nanobot if
- You weight community size — 50K stars and counting
- You want the MIT 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 nanobot
English 简体中文 繁體中文 Español Français Bahasa Indonesia 日本語 한국어 Русский Tiếng Việt Discord · X · WeChat / Feishu nanobot 🐈 nanobot is an ultra lightweight, open source, self hosted personal AI agent framework written in Python. It runs in a WebUI, terminal, or chat apps and combines tools, long term memory, MCP integrations, model routing, multi agent delegation, scheduled automation, and an OpenAI compatible API in a small, readable core. Start Here What can nanobot do? nanobot is a self hosted personal AI agent runtime. It can: run in a browser WebUI or terminal connect to Telegram, Discord, Slack, WeChat, Email…
read the full nanobot 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 nanobot or DeepAnalyze more popular?
nanobot has 49,806 GitHub stars and DeepAnalyze has 4,781. nanobot has the larger community by that measure.
Are nanobot and DeepAnalyze free?
Both are open source. nanobot is licensed under MIT and DeepAnalyze under MIT. Neither carries a licence fee.
What is the difference between nanobot and DeepAnalyze?
nanobot 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, nanobot or DeepAnalyze?
Choose nanobot if you want the larger community (49,806 stars) or its MIT licence terms. Choose DeepAnalyze if its feature set, stack or MIT licence fits better. Both are self-hostable.