The low-tech guys Cling vs Duplicate File Finder
Side-by-side comparison for macOS
The low-tech guys Cling
7.0Instant fuzzy finder for files including system and hidden files
Duplicate File Finder
8.0Find and remove unwanted duplicate files and folders
| Metric | The low-tech guys Cling | Duplicate File Finder |
|---|---|---|
| Category | Utilities | Utilities |
| AI Score | 7.0 | 8.0 |
| 30-day Installs | 91 | 33 |
| 90-day Installs | 242 | 98 |
| 365-day Installs | 606 | 380 |
| Version | 2.3.0 | 9.1,974 |
| Auto-updates | Yes | Yes |
| Deprecated | No | No |
| GitHub Stars | — | 54 |
| GitHub Forks | — | 16 |
| Open Issues | — | - |
| License | — | MIT |
| Language | — | Python |
| Last GitHub Commit | — | 8mo ago |
| First Seen | Aug 6, 2025 | Aug 9, 2023 |
Reviews
The low-tech guys Cling
Cling is a sleek macOS app that offers a quick and efficient way to search for files, including hidden and system files. Its fuzzy search functionality makes it ideal for users who need to locate files rapidly, offering a seamless experience for power users and developers alike.
Cling provides an instant fuzzy search feature to quickly locate files across your system, including hidden and system files.
Pros
- + Efficient fuzzy search functionality
- + Includes hidden and system files in search results
- + Lightweight and well-integrated with macOS
Cons
- - Niche appeal may limit its user base
- - Basic interface compared to more advanced alternatives
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