terminology VS quo

Compare terminology vs quo and see what are their differences.

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terminology quo
3 4
13 31
- -
0.0 2.3
over 1 year ago 6 days ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

terminology

Posts with mentions or reviews of terminology. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-17.

quo

Posts with mentions or reviews of quo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-31.

What are some alternatives?

When comparing terminology and quo you can also consider the following projects:

TrueColorTools - GUI application for calculating human-visible colors of celestial bodies from their photometry data

spyder-vim - A plugin for Spyder to enable Vim keybindings

ansicodes - 🎨ansi escape code generator to help make colorful command line tools

ipysheet - Jupyter handsontable integration

pystyle - The source of my Python library, pystyle.

xontrib-output-search - Get identifiers, paths, URLs and words from the previous command output and use them for the next command in xonsh shell.

rainbow - :rainbow: Colorize commands output or STDIN using patterns.

typer - Typer, build great CLIs. Easy to code. Based on Python type hints.

colo - A simple color script which print the 256 terminal colors in rgb,hex,numbered, ...

NoteSH - NoteSH fully functional sticky notes App in your Terminal!

simple-calculator - CLI based calculator

mplcolors - A command-line information tool written in Python 3.x to display matplotlib colors.