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Disk Cleanup Python Packages

Python packages with the GitHub topic disk-cleanup. Sorted by monthly downloads, with stars and forks.
nmichlo
diskuse

fast disk usage library and TUI in rust and python $ cargo install diskuse $ uvx diskuse

2K 0 0
ndenissov
pycocic

pycociC is a high-performance Python utility and CLI tool for safely removing compiled Python bytecode (.pyc, .pyo) and Numba JIT caches (.nbc, .nbi). It recursively scans directories or entire disks, prunes empty pycache folders, and reports freed space. Perfect for CI/CD pipelines and maintaining clean project environments.

813 2 0
GeiserX
qbittorrent-orphaned

Find disk files not tracked by any qBittorrent torrent - reclaim storage and clean media libraries

496 5 2
harish-ai-engineer
disktidy

Analyze disk usage and safely reclaim space from Docker, package-manager caches, and other space hogs. Dry-run by default — nothing is deleted without an explicit flag.

236 2 0
syed-mujtaba-stack
mj-fte

MJ FTE - Open-source Windows disk cleaner & system analyzer CLI agent. Finds junk files, dangerous executables, analyzes storage. Google OAuth secured, dry-run safe cleaning with Recycle Bin. pip install mj-fte

227 1 0
CodeHYY
aiclean

Scan and safely clean local caches left by AI coding tools (Claude Code, Cursor, Ollama, npm/uv, HuggingFace, etc)

206 0 0
albertdobmeyer
superclean-cli

An agentic-dev garbage collector for Windows, macOS, and Linux: a tiered RAM, VRAM, and disk cleanup ladder that never kills your active editors, terminals, or AI tools.

168 0 1
Sandhu93
devbroom

Cross-platform Python tool to find, preview, export, and clean large node_modules and virtualenv folders through a GUI or CLI

167 0 0
suhasdinesh
bloatr

Kill your Mac's bloat. Interactive disk cleanup TUI for developers.

79 0 0
Moamen-R
nightmare-cleaner

A modular, high-performance Windows Cleaner & Optimizer CLI tool with a beautiful purple/magenta themed terminal UI

78 2 0
anuragchaubey1224
reclaim-disk

AI-guided disk-reclamation engine for developers · reversible

67 0 0
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology