head to head · open source
AnythingLLM vs DeepAnalyze
AnythingLLM has 66,155 GitHub stars, 7,348 forks, 311 open issues and last shipped yesterday. DeepAnalyze has 4,636 stars, 735 forks, 27 open issues and last shipped 7 days ago. AnythingLLM leads on adoption by 1,327% (66,155 vs 4,636 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%. AnythingLLM 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 | ★ 66K | ★ 4.6K |
| License | MIT | MIT |
| Written in | JavaScript | Python |
| Last push | 2026-09-17 | 2026-09-11 |
| Forks | ⑂ 7.3K | ⑂ 735 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick AnythingLLM if
- You weight community size — 66K 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
AnythingLLM is a local first AI application that enables users to chat with their documents using any large language model (LLM), local or cloud hosted. It runs as a self hosted service—by default in Docker—and provides a complete interface for document ingestion, agent orchestration, multi user access, and workflow automation without requiring external cloud dependencies. The project lives in the local AI and AI interaction ecosystem, targeting users who want full control over their data and model selection.
read the full AnythingLLM 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 AnythingLLM or DeepAnalyze more popular?
AnythingLLM has 66,155 GitHub stars and DeepAnalyze has 4,636. 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 (66,155 stars) or its MIT licence terms. Choose DeepAnalyze if its feature set, stack or MIT licence fits better. Both are self-hostable.