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Find Empty Folders vs Duplicate File Finder

Side-by-side comparison for macOS

Find Empty Folders

6.0
Utilities

Finds empty folders

Duplicate File Finder

8.0
Utilities

Find and remove unwanted duplicate files and folders

Metric Find Empty Folders Duplicate File Finder
Category Utilities Utilities
AI Score 6.0 8.0
30-day Installs 8 33
90-day Installs 20 98
365-day Installs 74 380
Version 1.3.1 9.1,974
Auto-updates No Yes
Deprecated No No
GitHub Stars - 54
GitHub Forks 1 16
Open Issues - -
License Apache-2.0 MIT
Language Objective-C Python
Last GitHub Commit 3y ago 8mo ago
First Seen Aug 9, 2023 Aug 9, 2023

Reviews

Find Empty Folders

Find Empty Folders is a macOS app designed to help users locate and manage empty folders on their system. It offers a straightforward interface for identifying and deleting these folders, which can be particularly useful for organizing and cleaning up filesystems. The app is ideal for users who want to maintain a clutter-free digital environment.

The app scans the filesystem to identify and display empty folders, allowing users to delete them if desired.

Pros

  • + Simple and effective tool for identifying empty folders
  • + Free and open-source under the Apache-2.0 license
  • + Written in Objective-C, ensuring compatibility with macOS

Cons

  • - No auto-update feature, requiring manual updates
  • - Low community engagement with zero stars and few forks on GitHub

Duplicate File Finder

Duplicate File Finder is a user-friendly tool designed to efficiently identify and remove duplicate files and folders. Its intuitive interface and robust performance make it ideal for users looking to free up storage space and organize their files effectively.

Finds and removes duplicate files and folders on your system.

Pros

  • + User-friendly interface with clear visualization of duplicates
  • + Efficient file scanning and comparison capabilities
  • + Straightforward file removal process

Cons

  • - Limited advanced filtering options compared to competitors
  • - Performance may degrade on systems with extremely large datasets