AppCleaner vs Soft Organizer

AppCleaner is a free macOS utility for uninstalling unwanted applications and finding the files they leave behind. Drag an app into its window to see related files distributed across the system, review the list, and choose what to delete. Version 3.7 improves searches in Application Scripts and asks for Full Disk Access; without that permission, some files may remain. It can locate files associated with system apps, but cannot remove those apps. Downloads cover several macOS generations: version 3.7 for macOS 15 and later, 3.6.8 for macOS 10.14 up to 15.6, 3.6 for macOS 10.13, and 3.4 for macOS 10.10 up to 10.12. Version 3.6 added native Apple M1 support. AppCleaner can detect applications inside disk images and offer to remove the image file instead. Its login item appears in System Settings, and a preference can hide protected apps. The download page also notes a Sparkle updater security fix in version 3.7 and HTTPS updates since version 3.2.

Soft Organizer is a Windows utility for uninstalling programs and clearing related traces. It can record system changes during installation, helping identify elements associated with a program when it is removed. The free version can remove Windows Store universal apps, uninstall several programs at once, and create backups when clearing application residues. It also supports rating, sorting, grouping, and searching installed programs, exporting their list to HTML, updating Soft Organizer itself, and checking for newer versions of installed applications. Pro adds scans for leftovers from programs already removed, silent installation for supported setup packages, and one-click installation of detected updates where available. Listed system requirements are Windows 11, 10, 8, or 7 in 32-bit or 64-bit editions, 256 MB RAM, 50 MB disk space, and administrator rights. The software is free for personal and educational use. When data-transfer functions are enabled, the software may send program-related item names, installed application names and versions, and anonymized feature-use statistics.