CSV Viewer

Live: spskelly.github.io/csv-viewer
Repo: GitHub

What It Does

A lightweight PWA for instant CSV inspection. Install it, set it as your default .csv handler, and double-clicking any CSV file gives you sorting, filtering, and statistics, no spreadsheet app needed.

Features

• System file handler, registers for .csv, .tsv, and .txt files
• Sortable columns, click headers to sort; detects numbers vs. text automatically
• Full-text search, filter across all columns in real time
• Column statistics, click the stats button on any column for min, max, avg, median, sum, and top values
• Export filtered, download your filtered/sorted view as a new CSV
• Pagination, configurable rows per page for large files
• Dark/light mode, toggle with Ctrl+D
• Responsive, works on desktop and mobile
• Offline, service worker caches all assets

Why It Exists

Sometimes you just need to glance at a CSV, check a column, spot an outlier, filter for a value. Opening Excel or importing into a database is overkill. This gives you a fast, focused viewer that handles the 90% case.

Technical Details

5 files, ~1,000 lines total. No build step, no dependencies. The CSV parser handles comma-separated, tab-separated, and auto-detected delimiters. Sorting is type-aware, numbers sort numerically (including comma-formatted values), everything else sorts alphabetically. Search and sort compose together.