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DeepAnalyze

The first agentic LLM for autonomous data science — analyze large datasets and generate professional reports with one click

★ 4,347 GitHub MIT data-scienceagentic-llmautonomousdata-analysisllm AI Agents

Overview

DeepAnalyze is the first agentic LLM designed specifically for autonomous data science. Built by researchers at Renmin University of China and Tsinghua University, it can autonomously complete the entire data science pipeline including data preparation, analysis, modeling, visualization, and professional report generation without human intervention. It supports structured data (Databases, CSV, Excel), semi-structured data (JSON, XML, YAML), and unstructured data (TXT, Markdown), and produces analyst-grade research reports. The model, code, training data, and demo are fully open-sourced, allowing anyone to deploy or extend their own data analysis assistant. With Docker-based sandboxed code execution and OpenAI-style API endpoints, DeepAnalyze is production-ready for both individual analysts and enterprise data teams.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Affiliate disclosure

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  deepanalyze:
    image: facdbe/deepanalyze-env:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/deepanalyze:/data

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Guides & articles

Getting Started with DeepAnalyze: From Raw Data to Professional Reports in Minutes

Step-by-step tutorial on running DeepAnalyze with Docker. Learn how to upload data, analyze it with AI, and export professional reports — all from your local machine.

Jul 11, 2026

DeepAnalyze: Your Autonomous AI Data Science Assistant — A Complete Guide

Discover DeepAnalyze, the first agentic LLM for autonomous data science. Learn how it analyzes datasets, generates professional reports, and automates the entire data science pipeline without human intervention.

Jul 11, 2026