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alonex-x/desktop-automation-toolkit

Analysis updated 2026-05-18

0PythonAudience · generalComplexity · 1/5Setup · easy

TLDR

A Python command line tool that organizes, cleans, and backs up files on your computer, with an optional JSON rules engine for custom automation.

Mindmap

mindmap
  root((Desktop Automation Toolkit))
    What it does
      Sorts files by extension
      Deletes old temp files
      Creates compressed backups
    Tech stack
      Python
      JSON rules engine
    Use cases
      Organize a messy Downloads folder
      Clean old temporary files
      Back up a project directory
    Features
      Dry run preview mode
      Custom rules by extension
      No external dependencies
    Audience
      Anyone wanting tidy folders

Code map

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What do people build with it?

USE CASE 1

Automatically sort a cluttered folder into subfolders by file type.

USE CASE 2

Delete old temporary files that build up over time.

USE CASE 3

Create a compressed backup of an important project folder.

USE CASE 4

Write custom rules to auto-move or delete specific file types.

What is it built with?

Python

How does it compare?

alonex-x/desktop-automation-toolkit0xallam/my-recipe0xhassaan/nn-from-scratch
Stars00
LanguagePythonPythonPython
Last pushed2022-11-22
MaintenanceDormant
Setup difficultyeasymoderatemoderate
Complexity1/52/54/5
Audiencegeneralgeneraldeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

Requires only Python 3.6+ and the standard library, no external dependencies.

The README does not state a license.

In plain English

Desktop Automation Toolkit is a Python command line tool for keeping folders on your computer tidy without doing it by hand. It runs from a terminal and offers three main jobs: sorting files into subfolders based on their file type, deleting old temporary files that tend to pile up over time, and creating compressed backup copies of a folder. Each of these jobs is run as a simple command. The organize command scans a folder and automatically moves files into subfolders named after their extension, so images end up together, documents end up together, and so on. The clean command looks for temporary style files, such as those ending in tmp, log, bak, or a trailing tilde, and removes any that are older than a number of days you choose. The backup command copies an entire directory to a chosen destination, optionally compressing it to save space. Every command supports a dry run mode, which shows exactly what would happen without actually changing or deleting anything, so a user can check the results are what they expect before committing to them. Beyond the three built-in commands, the toolkit includes an optional rules engine controlled by a JSON file. This lets a user define their own automation logic, such as always deleting torrent files or always moving image files into a folder called Photos, without needing to edit the underlying Python code. Rules are checked in order, and the first one that matches a file is applied, if no rule matches, the tool falls back to its normal default behavior. Currently rules can match files by their extension, with support for matching by file size or age planned for later versions. The tool requires Python 3.6 or newer, has no external dependencies beyond Python's standard library, and works on Linux, macOS, and Windows through WSL. It is described by its author as part of a self-taught developer portfolio, and is one piece of a larger personal project ecosystem.

Copy-paste prompts

Prompt 1
Show me how to run the organize command in dry-run mode before changing my files.
Prompt 2
Help me write an automate_rules.json rule that moves all PDF files into a Documents folder.
Prompt 3
Explain how the clean command decides which temporary files are old enough to delete.
Prompt 4
Walk me through creating a compressed backup of a project directory with this tool.

Frequently asked questions

What is desktop-automation-toolkit?

A Python command line tool that organizes, cleans, and backs up files on your computer, with an optional JSON rules engine for custom automation.

What language is desktop-automation-toolkit written in?

Mainly Python. The stack also includes Python.

What license does desktop-automation-toolkit use?

The README does not state a license.

How hard is desktop-automation-toolkit to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is desktop-automation-toolkit for?

Mainly general.

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