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Pyparsing Alternatives
Similar projects and alternatives to pyparsing
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Sonar
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
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Lark
Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
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ReadableRegex.jl
regexes for people who don't really want to learn or read regexes
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InfluxDB
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awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
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uwsgi-nginx-flask-docker
Docker image with uWSGI and Nginx for Flask applications in Python running in a single container. Optionally with Alpine Linux.
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fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
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cookiecutter
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
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pytest
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
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Mergify
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pyparsing reviews and mentions
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About a month ago I posted about PRegEx, an open-source project which I had started that you can use to build RegEx patterns programmatically, which the subreddit seem to like. This prompted me to keep working on it, and one month later, PRegEx v2.0.0 is out!
I havent found a way to specify an exact character match in pyparsing - https://github.com/pyparsing/pyparsing/discussions/443
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Python toolkits
STDOUT: Lark or pyparsing
- TatSu takes grammars in variation of EBNF, outputs memoizing Python PEG parsers
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Parser Combinators in Haskell
Since it is not mentioned in the article: Python users may also want to check out pyparsing [0]. It is slightly different from Parsec/FParsec (for instance, it ignores all whitespace by default), but I think it is a really good project.
- luna is a Domain specific language that translates to regex. It's an attempt to make regex more readable.
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Recommended way to read and parse a couple thousand small files
I might try to use multiprocessing for comparison. I'm using pyparsing for the parsing, although it probably could be done with regex.
Your pyparsing parser might benefit from a tune-up. This page has some performance tips: https://github.com/pyparsing/pyparsing/wiki/Performance-Tips.
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A note from our sponsor - Mergify
blog.mergify.com | 22 Sep 2023
Stats
github-pyparsing/pyparsing is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of pyparsing is Python.