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PC Cleaner

PC Cleaner is a safe, cross-platform disk analytics tool. It scans a drive or folder and produces an offline HTML dashboard, JSON data, and a complete CSV file inventory. It finds duplicate files and cleanup candidates, but it never deletes or changes user files.

Install

pip install pc-cleaner

PC Cleaner works on Windows, macOS, Linux desktops, WSL, and Linux VPS hosts. On Windows it lists drive letters; on POSIX systems it lists useful mounted filesystems while avoiding virtual kernel mounts such as /proc, /sys, and tmpfs.

Use

Launch the terminal dashboard:

pc-cleaner

The dashboard lists accessible drives with free-space information and includes a folder browser. Select a drive, click a folder to make it the scan target, or type a path manually. While scanning it shows the subprocess output, offers a visible cancel button, and keeps the scan controls disabled until completion.

During scans, the dashboard shows the active phase, elapsed time, indexed file and folder totals, data indexed, and files-per-second rate. Filesystem discovery does not pretend to know an exact completion time; it displays an honest unknown ETA until traversal is complete. Duplicate hashing has a known candidate count, so it shows a real remaining-time estimate. When an HTML report completes, use Open HTML report to open it directly in the default browser.

Check for an update from PyPI:

pc-cleaner update

This asks before installing. After a successful upgrade, restart PC Cleaner to use the new release. For non-interactive automation only, use:

pc-cleaner update --yes

Run from scripts or CI:

pc-cleaner scan --drive D --open
pc-cleaner scan --path "D:\\Projects" --no-dups
pc-cleaner scan --path ~/Downloads --out ./reports
pc-cleaner scan --path /var --out ~/pc-cleaner-reports --no-dups --verbose

For an Ubuntu/Linux VPS over SSH, use command mode explicitly. If the terminal is not interactive, pc-cleaner will show the equivalent CLI command instead of trying to open a full-screen terminal interface.

The scan produces timestamped HTML, JSON, and CSV reports. The default report location is your current directory; use --out REPORTS_DIR to choose another.

Features

  • Fast, recursive, read-only scans using os.scandir
  • Self-contained offline HTML dashboard with sortable tables
  • Full CSV file inventory and machine-readable JSON summary
  • Largest files, folders, extensions, categories, ages, and size buckets
  • Duplicate finder using BLAKE2b hashes after efficient size grouping
  • Junk/cache/zero-byte/empty-folder signals
  • Access-error handling and Windows long-path support
  • SQLite-backed processing for very large drives
  • Drive chooser and browsable folder tree in the terminal dashboard
  • Confirmed PyPI update checker; no automatic restart or silent upgrade
  • Cross-platform mount discovery and VPS-safe virtual filesystem exclusions

Safety

PC Cleaner is an analysis and recommendation tool. It does not delete, move, modify, or upload your data. Review report findings yourself before performing any cleanup.

License

MIT

Metadata

Release files for pc-cleaner 1.4.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pc-cleaner 1.4.1
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Built distribution (wheel)

Table of built distributions (wheels) for pc-cleaner 1.4.1
File Interpreter ABI Platform
pc_cleaner-1.4.1-py3-none-any.whl Python 3 none any Details

Total release size: 60.6 kB

Release files / pc_cleaner-1.4.1.tar.gz

Download URL pc_cleaner-1.4.1.tar.gz
Size 31.2 kB
Tags Source
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1eeb2308b0a5ce6db8c0af96ddc98d2f5ec7f8fda64abb76eaf9a9dde2472022
BLAKE2b-256 checksum
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29cc6c8a9fdca22d3fe4e528f31a3b245742b673032a40fee1892db8281c6e76
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Release files / pc_cleaner-1.4.1-py3-none-any.whl

Download URL pc_cleaner-1.4.1-py3-none-any.whl
Size 29.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
0ed94c8f1132decf3799ce374929770cfbe27de292539b6ad65eec4cd05528ff
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ca6f3eea1786d0bcabe1e32b11aa38845be4718f724ca760e2b0792d5618d9d7
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Uploaded via twine/7.0.0 CPython/3.14.2

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