pyparsing VS awesome-python

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

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pyparsing awesome-python
13 85
2,091 204,784
2.0% -
8.3 7.1
29 days ago 12 days ago
Python Python
MIT 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.

pyparsing

Posts with mentions or reviews of pyparsing. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-24.

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 2024-03-07.

What are some alternatives?

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

parsita - The easiest way to parse text in Python

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

parser - String parser combinators

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

iregex - A way to write regex with objects instead of strings.

Pyadomd - A pythonic approach to query SSAS data models.

attoparsec - A fast Haskell library for parsing ByteStrings

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

sly - Sly Lex Yacc

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

Lark - Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.

Box - Python dictionaries with advanced dot notation access