Table Viewer

A fast desktop viewer for CSV and SQLite files. Opens large files (1M+ rows) instantly with two-stage loading and fixed-position virtualized rendering.

Usage

uv run main.py                     # launch empty
uv run main.py data.csv            # open a CSV file
uv run main.py database.db         # open a SQLite file

Or make run to launch.

Features

• CSV and SQLite — auto-detects format from extension. SQLite files show tabs to switch tables.
• Fast loading — preview appears instantly, full data loads in the background.
• Virtualized rendering — fixed-position canvas pool. Scrolling only updates text content, no item creation or movement.
• Sort — click column headers. Numeric, text, and datetime sorting.
• Filter — Cmd/Ctrl+F. Supports regex and column-specific search.
• Keyboard navigation — arrow keys, Page Up/Down, Home/End.
• Column resize — drag column borders. Double-click to auto-fit.
• Export — save the current filtered view to a new CSV.
• Dark mode — auto-detects macOS dark mode.

Requirements

• Python 3.13+
• pandas

Test data

python scripts/generate_test_csv.py test.csv 100000
python scripts/generate_test_sqlite.py test.db 100000