Tad

Tad is a cross‑platform desktop application that opens CSV, Parquet, SQLite and DuckDB files and lets users explore the contents interactively. It relies on DuckDB for fast query execution, enabling operations such as filtering, sorting and pivot‑table analysis even on large datasets. The interface offers column histograms, date‑time rendering, and direct copy‑paste to spreadsheet tools, while filtered results can be exported back to CSV or Parquet.

The tool targets data engineers and data scientists who need a lightweight viewer for tabular data without leaving the desktop environment. Installers are provided for macOS (both Intel and Apple Silicon), Linux and Windows, and the software is released under an open‑source license with a free tier. Although it is a hobby‑driven project and may contain bugs, the developers encourage feedback through a dedicated email address.

Recent releases have updated the underlying DuckDB version, added interactive visualizations, and improved handling of scientific notation and case‑insensitive string filters. The application also supports automatic reloading of modified source files and includes an embeddable React component for integration into other interfaces.