SUMMARY AI summary by gpt-5-mini
Data Analyst Agent is a conversational AI for querying and visualizing tabular data. You can upload CSV, Excel, JSON, or SQLite files—or connect to a live SQL database—and ask questions in plain English; every response is produced by executing real Python (pandas/plotly) or SELECT-only SQL so numbers aren’t hallucinated. Who uses it: data analysts, data-savvy product managers, data scientists and non-programmers who need quick ad-hoc analysis without hand-coding. Key features: natural-language Q&A via a bounded ReAct loop; real code execution and interactive Plotly charts; auto EDA (distributions, correlations, outliers); text-column detection and nested LLM text analysis; multi-format uploads and SQL mode; messy-spreadsheet layout detection; AST import blocklist and df.copy() sandboxing; prompt caching and token metering; multi-provider LLM abstraction (Anthropic/OpenAI) and comprehensive tests.
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Dates
| Created on GitHub | 2026-05-03 |
| Last push | 2026-05-09 |
| First seen here | 2026-05-09 |
| Last fetched | 2026-05-09 18:14 |
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