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$ show yqxie1991/WxCleaner

[account ↗] [repo ↗] APPLICATION ★ 927 88 ● maintained (last update 9 months ago)
reviewed by: deepseek/deepseek-v4-flash

WxCleaner is a lightweight desktop application for detecting and removing duplicate files, primarily targeting WeChat file folders. It presents a ttkbootstrap-based GUI where users select a directory, scan for duplicates using a three-stage hashing strategy (file size, partial SHA-256, full SHA-256), and then selectively delete files by moving them to the system recycle bin via send2trash. The architecture cleanly separates the scanning logic (scanner.py) from the GUI (wx_gui.py), with main.py as the entry point. The application is functional, well-structured for its scope, and demonstrates practical file system operations with progress feedback. It is not a data research project; it is a pure utility application.

RATING7.2/10
QUALITY7.2/10
MAINTENANCEmaintained
DRIFTlow
CONTRIBUTORS2
VELOCITY0.20
OPEN ISSUES4
CLOSED ISSUES1
LAST COMMIT9 months ago
send2trash (pip) ==1.8.3
ttkbootstrap (pip) ==1.10.1
Files by Type (count)
Python
5
YAML
1
Git Ignore
1
Other (no ext)
1
Markdown
1
Other (.spec)
1
Other (.ico)
1
Text
1
Files by Type (size)
Other (.ico)
63KB
Python
47KB
Markdown
4KB
YAML
3KB
Other (no ext)
1KB
Other (.spec)
919B
Git Ignore
835B
Text
38B

The LLM identified 1 files worth highlighting for reuse:

Implements a three-stage duplicate file detection algorithm (size, partial hash, full hash) with progress reporting via a callback. The function `find_duplicates` is self-contained, using only standard library modules (os, hashlib, collections, pathlib). It can be extracted and reused in any Python project that needs efficient duplicate scanning, with minimal adaptation (the callback interface is generic). The algorithm is a good example of tiered hashing for performance.

file: scanner.py ↗ | tags: #duplicate-detection #file-hashing #progress-callback #three-stage
Last analyzed: 2026-08-11 15:51:10.542054
Next check: 2026-09-10 15:51:10.535757
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