MACS VS awesome-python

Compare MACS vs awesome-python and see what are their differences.

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MACS awesome-python
3 86
682 205,996
0.3% -
9.4 7.0
6 days ago 5 days ago
Cython 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.

MACS

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

awesome-python

Posts with mentions or reviews of awesome-python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-03.

What are some alternatives?

When comparing MACS and awesome-python you can also consider the following projects:

RapidFuzz - Rapid fuzzy string matching in Python using various string metrics

Qtile-Config - This is my configuration of Qtile, a window manager written in python.

Keras - Deep Learning for humans

VeRyPy - A python library with implementations of 15 classical heuristics for the capacitated vehicle routing problem.

uvloop - Ultra fast asyncio event loop.

Pyadomd - A pythonic approach to query SSAS data models.

ta-lib-python - Python wrapper for TA-Lib (http://ta-lib.org/).

ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

PyAV - Pythonic bindings for FFmpeg's libraries.

DearPyGui - Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies

Box - Python dictionaries with advanced dot notation access

timebudget - Stupidly-simple speed measurements for Python.