head to head · open source
nanobot vs DeepAnalyze
nanobot has 48,372 GitHub stars, 8,548 forks, 775 open issues and last shipped today. DeepAnalyze has 4,638 stars, 736 forks, 27 open issues and last shipped 9 days ago. nanobot leads on adoption by 943% (48,372 vs 4,638 stars). nanobot is written in Python under MIT; DeepAnalyze is written in Python under MIT. nanobot has attracted 18% 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 | ★ 48K | ★ 4.6K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-09-20 | 2026-09-11 |
| Forks | ⑂ 8.5K | ⑂ 736 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick nanobot if
- You weight community size — 48K 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
nanobot is an ultra lightweight, open source, self hosted personal AI agent framework written in Python, aimed at individual developers and small teams who want to run their own agent through a browser WebUI, a terminal, or chat apps instead of renting a hosted assistant.
read the full nanobot overview →
About DeepAnalyze
DeepAnalyze is an open source agentic large language model that autonomously carries out data science work — data preparation, analysis, modeling, visualization, and report generation — for data analysts, researchers, and engineering teams that want to run those pipelines on their own infrastructure instead of through a hosted assistant.
read the full DeepAnalyze overview →
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Frequently asked questions
Is nanobot or DeepAnalyze more popular?
nanobot has 48,372 GitHub stars and DeepAnalyze has 4,638. 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 (48,372 stars) or its MIT licence terms. Choose DeepAnalyze if its feature set, stack or MIT licence fits better. Both are self-hostable.