Skip to main content

A lightweight CLI tool to classify and organize files into folders based on their file types.

Project description

arborsort

A lightweight CLI tool to classify and organize files into folders based on their file types.

Features

  • Automatically sorts files into categorized folders (Images, Videos, Documents, etc.).
  • Supports a wide range of file types and extensions.
  • Simple and fast command-line interface for easy file organization.
  • Helps keep your directories clean and well-structured.

Installation

Install via pip:

pip install arborsort

Run the classify command to organize files in a directory:

arborsort classify path/to/your_directory

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

arborsort-0.1.1.tar.gz (5.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

arborsort-0.1.1-py3-none-any.whl (4.7 kB view details)

Uploaded Python 3

File details

Details for the file arborsort-0.1.1.tar.gz.

File metadata

  • Download URL: arborsort-0.1.1.tar.gz
  • Upload date:
  • Size: 5.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.9

File hashes

Hashes for arborsort-0.1.1.tar.gz
Algorithm Hash digest
SHA256 b90fcad3574369ea48420e85ad4d2de8190c9ebd8b32d0ce9e6b52c332986012
MD5 bdde47902f569b1a0aa1bf82290f502b
BLAKE2b-256 d13c39d3926232cbb602c46b3d2e8420ff90435601db4a020c39b6e6ae3c663e

See more details on using hashes here.

File details

Details for the file arborsort-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: arborsort-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 4.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.9

File hashes

Hashes for arborsort-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 a45008e4895f13eb616730c8cc2d62334193746f4780c3a0bd9296a219e0b4e6
MD5 dc767d153528fa911b29fbbf4df7e283
BLAKE2b-256 2666bdce3436802683f678dd7be29955629244c0a057477002167cb387b3ac98

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page