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MangoDisk vs Duplicate File Finder

Side-by-side comparison for macOS

MangoDisk

7.0
Utilities

Disk cleaner and storage analyser

Duplicate File Finder

8.0
Utilities

Find and remove unwanted duplicate files and folders

Metric MangoDisk Duplicate File Finder
Category Utilities Utilities
AI Score 7.0 8.0
30-day Installs 75 33
90-day Installs 91 86
365-day Installs 91 371
Version 1.1.9 9.2.2,1042
Auto-updates Yes Yes
Deprecated No No
GitHub Stars 2.2K 54
GitHub Forks 141 16
Open Issues 10 -
License GPL-3.0 MIT
Language Rust Python
Last GitHub Commit 1mo ago 1y ago
First Seen Sep 5, 2026 Aug 9, 2023

Reviews

MangoDisk

MangoDisk is a comprehensive disk cleaner and storage analyzer that offers a safety-first approach with tools for duplicate cleanup, app uninstallation, and system optimization. It's ideal for users seeking efficient storage management across macOS and Windows, supported by an active open-source community.

Analyzes disk usage and provides tools for cleaning up storage, managing duplicates, and optimizing system performance.

Pros

  • + Open-source with active development
  • + Safety-first approach to disk management
  • + Cross-platform support for macOS and Windows
  • + Comprehensive system optimization tools
  • + Strong community backing with 2k+ GitHub stars

Cons

  • - Low recent installs suggesting possible new release or niche adoption
  • - Some reported bugs in duplicate cleanup and Windows compatibility

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