{"repo":"saineshnakra/automated-data-analyst","free":true,"listed":false,"github":"https://github.com/saineshnakra/automated-data-analyst","clone":"git clone https://github.com/saineshnakra/automated-data-analyst.git","description":"AI data analyst: chat with your data, generate dashboards, detect anomalies, forecast trends with verified calculations using pandas..","language":"Python","stars":22,"topics":["ai","ai-data-analysis","automated-data-analysis","business-intelligence","business-intelligence-analytics","data-analysis","data-visualization","llm","pandas","python"],"license":"MIT","category":"ai-agents","readme_excerpt":"Automated Data Analyst (ADA) — Open-source AI for CSV & Excel Upload a CSV or Excel file and get automated EDA, an interactive business intelligence dashboard, anomaly detection, forecasts, and evidence-backed recommendations—without configuring a BI tool. Try the live dashboard · Read the engineering story · See the roadmap · Contribute · Report a bug If ADA saves you time, star the repository —it helps more analysts and open-source contributors discover the project. ADA is a privacy-conscious, open-source AI data analyst built with Python, Streamlit, pandas, and Plotly. Upload a CSV, XLSX, or XLSM file and it automatically cleans the data, detects the business schema, creates interactive visualizations, flags anomalous periods, projects a guarded baseline forecast, explains material changes, and recommends what to investigate next. Ask questions in natural language—effectively chat with your CSV or Excel data —and ADA returns a pandas-backed answer with the calculation behind it. The complete deterministic workflow runs without an API key; optional AI features receive computed schema and evidence, never raw rows or cell values. See ADA in action Ask a business question. Get the number and its calculation. Focus on one segment. Watch the entire analysis regroup itself. Anomalies, forecasts, drivers, and evidence stay inspectable instead of disappearing behind generated prose. For the architecture, tradeoffs, and failure modes behind the product, read I Built an AI Data Analy","default_branch":null,"files":null,"tree":[],"storefront":"/r/saineshnakra","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/saineshnakra/automated-data-analyst/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."}