head to head · open source
OpenClaw vs DeepAnalyze
OpenClaw has 390,029 GitHub stars, 81,995 forks, 6,671 open issues and last shipped today. DeepAnalyze has 4,636 stars, 735 forks, 27 open issues and last shipped 7 days ago. OpenClaw leads on adoption by 8,313% (390,029 vs 4,636 stars). OpenClaw is written in TypeScript under a custom or non-standard licence; DeepAnalyze is written in Python under MIT. OpenClaw has attracted 21% as many forks as stars, DeepAnalyze 16%. OpenClaw was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (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.
← all 8884 open source comparisons
Side by side
| OpenClaw | DeepAnalyze | |
|---|---|---|
| GitHub stars | ★ 390K | ★ 4.6K |
| License | Custom / other | MIT |
| Written in | TypeScript | Python |
| Last push | 2026-09-18 | 2026-09-11 |
| Forks | ⑂ 82K | ⑂ 735 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick OpenClaw if
- You weight community size — 390K 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 OpenClaw
OpenClaw is an open source, self hosted AI assistant in the AI & Machine Learning / AI Interaction & Interfaces category that runs on hardware the user controls and meets them inside the messaging channels they already use, for individuals who want a personal assistant on a laptop and teams that want a shared deployment.
read the full OpenClaw 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 →
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 OpenClaw or DeepAnalyze more popular?
OpenClaw has 390,029 GitHub stars and DeepAnalyze has 4,636. OpenClaw has the larger community by that measure.
Are OpenClaw and DeepAnalyze free?
Both are open source. OpenClaw has no licence declared in this registry, and DeepAnalyze is licensed under MIT. Both are free to self-host.
What is the difference between OpenClaw and DeepAnalyze?
OpenClaw 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, OpenClaw or DeepAnalyze?
Choose OpenClaw if you want the larger community (390,029 stars) or its Custom / other licence terms. Choose DeepAnalyze if its feature set, stack or MIT licence fits better. Both are self-hostable.