{"repo":"Varn1t/EDAgent","free":true,"listed":false,"github":"https://github.com/Varn1t/EDAgent","clone":"git clone https://github.com/Varn1t/EDAgent.git","description":"Multi-agent exploratory data analysis system with autonomous insights, visualization, preprocessing, and reporting workflows.","language":"Python","stars":67,"topics":["agentic-ai","ai","automation","data-analysis","eda","llm","machine-learning","multi-agent","pandas","python"],"license":null,"category":"ai-agents","readme_excerpt":"EDAgent Your personal Exploratory Data Analyst + AI Agent Drop in a CSV or Excel dataset. Get a complete EDA — automatically. An agentic, LLM-powered Exploratory Data Analysis pipeline built with LangGraph and Ollama. Ten specialized AI agents analyze your dataset, clean it, and generate a polished HTML report — all running 100% locally . --- What it does You give it a CSV or Excel dataset. It spins up a 10-stage LangGraph pipeline where each node is an AI agent that analyzes a different aspect of your data, writes a summary, and passes its findings to the next stage. At the end, you get: - An interactive Streamlit dashboard with tabbed results and a live per-agent progress bar - A rich, color-coded terminal output (if run via CLI) - A self-contained report.html — dark-themed, browser-ready, heatmap embedded inline - A correlation heatmap.png saved to output/ - A cleaned dataset ready to download as CSV — automatically fixed by the cleaning agent --- Pipeline Each node runs a Python analysis tool first, then passes the raw result to the LLM to reason over and summarize in plain English. Architecture Note: All Python computations (correlation matrices, outlier IQR bounds, descriptive stats) run on the full dataset to ensure statistical accuracy. The data passed to the LLM is intentionally capped (e.g., top 20 strongest correlations, top 15 outlier features) to prevent context window overload and hallucination. # Agent What it does --- --- --- 1 Schema Shape, column types, null","default_branch":null,"files":null,"tree":[],"storefront":"/r/Varn1t","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Varn1t/EDAgent/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}