head to head · open source
nanobot vs Pearl
nanobot has 48,372 GitHub stars, 8,548 forks, 775 open issues and last shipped today. Pearl has 1,095 stars, 181 forks, 40 open issues and last shipped 5 months ago. nanobot leads on adoption by 4,318% (48,372 vs 1,095 stars). nanobot is written in Python under MIT; Pearl is written in TypeScript under Apache-2.0. nanobot has attracted 18% as many forks as stars, Pearl 17%. nanobot was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai-agents), 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.
← all 20902 open source comparisons
Side by side
| nanobot | Pearl | |
|---|---|---|
| GitHub stars | ★ 48K | ★ 1.1K |
| License | MIT | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2026-09-20 | 2026-04-30 |
| Forks | ⑂ 8.5K | ⑂ 181 |
| 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 Pearl if
- You want the Pearl feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and Pearl 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 Pearl
Bubble Lab is an open core, TypeScript workflow engine that powers the Slack native Bubble Lab platform and its AI assistant Pearl, and it is aimed at teams that want operational work automated inside Slack as well as at developers and organisations that want to host that same execution engine on their own infrastructure.
read the full Pearl overview →
More in AI & Machine Learning
Related comparisons
More AI Interaction & Interfaces projects
Compare either of these against the rest of the AI Interaction & Interfaces field.
Frequently asked questions
Is nanobot or Pearl more popular?
nanobot has 48,372 GitHub stars and Pearl has 1,095. nanobot has the larger community by that measure.
Are nanobot and Pearl free?
Both are open source. nanobot is licensed under MIT and Pearl under Apache-2.0. Neither carries a licence fee.
What is the difference between nanobot and Pearl?
nanobot is written in Python and Pearl in TypeScript. 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 Pearl?
Choose nanobot if you want the larger community (48,372 stars) or its MIT licence terms. Choose Pearl if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.