dataclass-csv VS pyparsing

Compare dataclass-csv vs pyparsing and see what are their differences.

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dataclass-csv pyparsing
1 13
190 2,100
- 1.4%
0.0 8.3
3 months ago about 1 month 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.

dataclass-csv

Posts with mentions or reviews of dataclass-csv. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-15.

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.

What are some alternatives?

When comparing dataclass-csv and pyparsing you can also consider the following projects:

dataslots - __slots__ for dataclasses

parsita - The easiest way to parse text in Python

pytest - The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

parser - String parser combinators

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

attoparsec - A fast Haskell library for parsing ByteStrings

sly - Sly Lex Yacc

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

assert-combinators - Functional assertion combinators.

ReadableRegex.jl - regexes for people who don't really want to learn or read regexes

uwsgi-nginx-flask-docker - Docker image with uWSGI and Nginx for Flask applications in Python running in a single container.

binarytree - Python Library for Studying Binary Trees