Python Fire VS docopt

Compare Python Fire vs docopt and see what are their differences.

Python Fire

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object. (by google)

docopt

This project is no longer maintained. Please see https://github.com/jazzband/docopt-ng (by docopt)
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Python Fire docopt
37 29
26,266 7,894
0.9% 0.1%
6.8 0.0
14 days ago 17 days ago
Python Python
GNU General Public License v3.0 or later 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.

Python Fire

Posts with mentions or reviews of Python Fire. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-29.

docopt

Posts with mentions or reviews of docopt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-12.

What are some alternatives?

When comparing Python Fire and docopt you can also consider the following projects:

click - Python composable command line interface toolkit

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

Gooey - Turn (almost) any Python command line program into a full GUI application with one line

PyInquirer - A Python module for common interactive command line user interfaces

Argh - An argparse wrapper that doesn't make you say "argh" each time you deal with it.

pydantic-cli - Turn Pydantic defined Data Models into CLI Tools

cement - Application Framework for Python

plumbum - Plumbum: Shell Combinators

python-prompt-toolkit - Library for building powerful interactive command line applications in Python