head to head · open source

chatbox vs DeepAnalyze

chatbox has 41,814 GitHub stars, 4,253 forks, 1,290 open issues and last shipped 4 days ago. DeepAnalyze has 4,638 stars, 736 forks, 27 open issues and last shipped 9 days ago. chatbox leads on adoption by 802% (41,814 vs 4,638 stars). chatbox is written in TypeScript under GPL-3.0; DeepAnalyze is written in Python under MIT. chatbox has attracted 10% as many forks as stars, DeepAnalyze 16%. chatbox 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.

chatbox ★ 42K DeepAnalyze ★ 4.6K category AI & Machine Learning

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Side by side

chatbox DeepAnalyze
GitHub stars ★ 42K ★ 4.6K
License GPL-3.0 MIT
Written in TypeScript Python
Last push 2026-09-16 2026-09-11
Forks ⑂ 4.3K ⑂ 736
Self-hosting Yes Yes
Data ownership Your server Your server

pick chatbox if

  • You weight community size — 42K stars and counting
  • You want the GPL-3.0 license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full chatbox profile →

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

full DeepAnalyze profile →

About chatbox

Chatbox (Community Edition) is a cross platform desktop client for large language models, written in TypeScript and released under the GPL 3.0 license. It runs on Windows, macOS and Linux, and it connects to a range of providers including OpenAI (ChatGPT), Azure OpenAI, Claude, Google Gemini Pro, Ollama and ChatGLM 6B. The project lives in the AI interaction and interfaces ecosystem, where desktop chat front ends sit between a user and one or more hosted or locally hosted model APIs. The repository carries 41,767 stars and 4,251 forks across four years of history.

read the full chatbox 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

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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More AI Interaction & Interfaces projects

Compare either of these against the rest of the AI Interaction & Interfaces field.

chatbox vs OpenClaw chatbox vs Hermes Agent chatbox vs Open WebUI chatbox vs ComfyUI chatbox vs odysseus chatbox vs LobeChat chatbox vs AnythingLLM chatbox vs Cherry Studio chatbox vs nanobot chatbox vs Jan chatbox vs LibreChat chatbox vs AstrBot

Frequently asked questions

Is chatbox or DeepAnalyze more popular?

chatbox has 41,814 GitHub stars and DeepAnalyze has 4,638. chatbox has the larger community by that measure.

Are chatbox and DeepAnalyze free?

Both are open source. chatbox is licensed under GPL-3.0 and DeepAnalyze under MIT. Neither carries a licence fee.

What is the difference between chatbox and DeepAnalyze?

chatbox 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, chatbox or DeepAnalyze?

Choose chatbox if you want the larger community (41,814 stars) or its GPL-3.0 licence terms. Choose DeepAnalyze if its feature set, stack or MIT licence fits better. Both are self-hostable.