cement VS Python Fire

Compare cement vs Python Fire 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)
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cement Python Fire
- 37
1,211 26,266
0.4% 0.9%
8.2 6.8
about 1 month ago 13 days ago
Python Python
BSD 3-clause "New" or "Revised" License GNU General Public License v3.0 or later
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.

cement

Posts with mentions or reviews of cement. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning cement yet.
Tracking mentions began in Dec 2020.

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.

What are some alternatives?

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

click - Python composable command line interface toolkit

cliff - Command Line Interface Formulation Framework. Mirror of code maintained at opendev.org.

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

clint - Python Command-line Application Tools

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

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

docopt - This project is no longer maintained. Please see https://github.com/jazzband/docopt-ng

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