DeepAnalyze is an open-source agentic AI framework for data scientists and researchers that automates the end-to-end lifecycle of data engineering, analysis, and scientific discovery.

• Executes autonomous data exploration using LLM-driven agents to perform data cleaning, statistical modeling, and hypothesis testing.
• Generates interactive visualizations and structured scientific reports compatible with Jupyter Notebook environments.
• Connects to SQL databases and local datasets to facilitate deep-research workflows through Python-based code execution.
• Leverages the Qwen model family to provide reasoning-heavy insights for complex data science and engineering tasks.

The system functions as a modular Python library, allowing for deployment within existing data pipelines and open-source LLM infrastructures. It is ideal for automated exploratory data analysis, scientific literature synthesis, and developing autonomous data-driven chatbots.