How to Build an Open-Source AI Data Analysis Agent in 2026

Data-Analysis-Agent is an open-source conversational analytics system that lets users upload Excel or CSV files or connect supported databases, ask questions in natural language, and follow a visible workflow from schema inspection and SQL generation through query execution, chart recommendation, and business insights. The tutorial describes configuring the project with an Atlas Cloud API key and OpenAI-compatible endpoint, installing it locally with Python 3.10 or later, and testing the workflow using a small sales dataset through a browser interface at localhost. It supports SQLite, MySQL, PostgreSQL, and SQL Server, while DuckDB and Spark are planned, and can recommend charts across comparison, time-series, distribution, geospatial, relationship, and part-to-whole categories. The project also offers exports to formatted Excel files, Word documents, and PowerPoint presentations, but its CC BY-NC 4.0 license prohibits unauthorized commercial use. Although it can reduce repetitive tasks involved in answering ad hoc business questions, users are advised to validate generated SQL, chart logic, metric definitions, and conclusions, protect sensitive data, and retain governed BI dashboards for official reporting and stable KPIs.

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