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Pure Python implementation of subset of ls command with colors and icons

Project description

colorls

Pure Python implementation of ls command with colors and icons. Inspired from colorls. Requires Nerd Fonts for icon/glyphs.

Installation

pip install color-ls However, since this is intended to run as an executable and not a library, it is preferable to use a tool such as pipx pipx install color-ls

Usage

usage: lx [-h] [-1] [-a] [-B] [-d] [-f] [-F] [-i] [-I PATTERN] [-l] [-n] [-R]
          [-t [DEPTH]] [--version] [--si] [-U] [-H] [-x]
          ...

Pure Python implementation of `ls` command. Only a subset of available
arguments are implemented

positional arguments:
  FILE                  List information about the FILE(s).

options:
  -h, --help            show this help message and exit
  -1                    list items on individual lines
  -a, --all             do not ignore entries starting with .
  -B, --ignore-backups  do not list implied entries ending with ~
  -d, --directory       list directories themselves, not their contents
  -f, --file            list files only, not directories
  -F, --classify        append indicator (one of */=>@|) to entries
  -i, --inode           display inode number
  -I PATTERN, --ignore PATTERN
                        do not list implied entries matching shell PATTERN
  -l, --long            use a long listing format
  -n, --numeric-uid-gid
                        like -l, but list numeric user and group IDs
  -R, --recursive       list subdirectories recursively
  -t [DEPTH], --tree [DEPTH]
                        max tree depth
  --version             display current version number and exit
  --si                  display file size in SI units
  -U, --unsorted        do not sort; list entries in directory order
  -H, --header          do not display header
  -x                    do not display icons

Feature Requests/Bugs should be reported at https://gitlab.com/compilation-
error/colorls/-/issues

Requirements

  • Python 3.8 or higher
  • Nerd Fonts

License

MIT

Project details


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