
TUI macOS cleaner that scans caches/logs, shows sizes/paths, and lets you select what to delete.
Visit WebsitePros
Cons
$0 USD per month
$4 USD per user/month
$21 USD per user/month
No reviews yet. Be the first to review Mac Cleanup Go!
Top alternatives based on features, pricing, and user needs.
Mac Cleanup Go is a terminal user interface (TUI) application designed to help macOS users clean up their systems. It scans for caches, logs, and temporary files across various applications and tools, presenting them in a user-friendly interface. Users can preview items, see their sizes, and selectively choose which files or categories to delete. By default, deleted items are moved to Trash, with an option for permanent deletion only for the Trash category itself. The tool categorizes potential cleanup targets by impact level: safe (auto-regenerated), moderate (may require re-download/re-login), and risky (user data possible). Risky items are excluded by default, requiring explicit user inclusion for deletion, providing a safeguard against accidental data loss. It also includes built-in scanners for Homebrew, Docker, and old downloads, and offers guides for manual cleanup of certain applications like Telegram and KakaoTalk. This tool is ideal for macOS users looking for a granular and interactive way to free up disk space and manage system clutter.
Yes, Mac Cleanup Go offers a free plan with limited features. Paid plans are available for users who need more advanced functionality.
Mac Cleanup Go offers a freemium pricing model with a free tier available. Visit their pricing page for detailed information on paid plans and features.
Mac Cleanup Go is designed for professionals and teams looking for tui macos cleaner that scans caches/logs, shows sizes/paths, and lets you select what to delete.. It's particularly useful for businesses that need reliable and efficient solutions in their workflow.
There are several alternatives to Mac Cleanup Go available on the market. You can compare Mac Cleanup Go with similar tools on Toolradar to find the best fit for your needs.
Source: github.com