Interactive disk space visualiser with duplicate finder and smart cleanup.
Free for macOS, Windows, and Linux.
Seven interactive views, three colour modes, and powerful tools to understand and reclaim your disk space.
Rings, treemap, pie chart, bubbles, table, histogram, and timeline views -- each revealing different insights about your files.
Three-tier detection: Gold (exact SHA-256 match), Silver (same name + size), Bronze (same name). See exactly how much space is wasted.
Automatically detects caches, temp files, old downloads, and duplicate apps. Preview savings before you commit.
Tracks growth over time and projects when your drive will fill up. Daily and monthly growth rates at a glance.
Background monitoring with system notifications when folders grow significantly. Runs quietly in the system tray.
Detects iCloud placeholders and online-only files. Filter between local, cloud, or all files instantly.
Each visualisation mode reveals different patterns. Colour by age, type, or folder.
Concentric rings show folder hierarchy. Inner rings are top-level folders, outer rings drill deeper.
Space-filling rectangles sized proportionally. The biggest files and folders are impossible to miss.
Circle packing with drill-down navigation. Click to dive into subfolders.
Classic circular breakdown of your top files and folders by size.
File size distribution across buckets from tiny (0-1 KB) to massive (10+ GB).
Files grouped by modification date, from today to 5+ years ago.
Tag files, stage deletions, export reports, and compare scans over time.
Colour-coded Keep, Reviewed, and Delete tags to organise files as you go.
Staging area for batch deletions. Add files from any view, review, then delete in one go.
CSV file listing, full HTML report, or a tags report grouped by label.
Diff two scans to see what grew, what shrank, and what's new.
Toggle between dark and light mode with one click.
Drop any folder onto the app to start scanning immediately.
Free and open source. Available for macOS, Windows, and Linux.
Built with Electron · View on GitHub