reclaimed 0.1.3

A powerful disk usage analyzer with iCloud support

reclaimed 🌟

A powerful and user-friendly command-line tool for analyzing disk usage, with special handling for iCloud storage on macOS. Quickly find your largest files and directories with a beautiful, color-coded interface. I let aider write the README.md boilerplate and it's all accurate but I'm still not sure how we feel about the emojis... it seems Claude is a colorful gentleman when writing markdown.

Features

• 🚀 Fast recursive directory scanning, legitimately performant and batches progress updates efficently
• ☁️ Smart detection of iCloud vs local storage which is nice on the macbook
• 📊 She pretty (it utilizes the Textualize/rich library for fancy CLI stylings)
• 💾 Export results to JSON for further analysis or batch operations
• ⚡️ Real-time progress indication actually great
• 🛡️ Graceful handling of permission issues, doesn't freeze like the old diskinventoryx

Installation

Prerequisites

• Python 3.8 or higher
• pip (Python package installer)
• Technically not a venv but if you aren't using a venv you're generally doing python wrong

Using pip

pip install reclaimed

From Source

git clone https://github.com/taylorwilsdon/reclaimed.git
cd reclaimed
pip install -r requirements.txt
hatch shell

Usage

Basic usage:

reclaimed ~/Documents

Advanced options:

# Show more results
reclaimed ~/Documents --files 20 --dirs 15

# Save results to JSON
reclaimed ~/Documents --output results.json

Options

• PATH: Directory to scan (default: current directory)
• -f, --files N: Number of largest files to show (default: 10)
• -d, --dirs N: Number of largest directories to show (default: 10)
• -o, --output FILE: Save results to JSON file

Output

The tool provides:

• A real-time progress indicator showing files scanned and total size
• Two tables showing the largest files and directories
• Clear indication of iCloud vs local storage
• Summary of any access issues encountered

Development

This project uses Hatch for development workflow management.

Setup Development Environment

pip install -r requirements.txt
hatch shell

Common Commands

# Run tests
hatch run test

# Run tests with coverage
hatch run test-cov

# Run linting (black, ruff, mypy)
hatch run lint

# Build distribution packages
hatch build

Contributing

Contributions are welcome! Please see our Contributing Guide for details.

License

This project is licensed under the MIT License - see the LICENSE file for details.