pyparsing

pyparsing - Classes and methods to define and execute parsing grammars

pyparsing Permissive license MIT Active ★ 2,482 v3.3.2 released 2026-01-21

Install

pyparsing on PyPI

pip

pip install pyparsing

uv

uv add pyparsing

poetry

poetry add pyparsing

Package facts

License	MIT (permissive)
Python support	supports the current Python release (>=3.9)
Install friction	low — pure-Python wheel
Runtime dependencies	none
Maintenance	actively maintained — 204 days since the last release
Last repo commit	2026-08-12
First released	2007-06-30
Popularity	one of the top 1,000 most-downloaded packages on PyPI (30-day window, as of 2026-08-13)
Known vulnerabilities	none known (OSV.dev, checked 2026-08-13)

Evidence: pyparsing-3.3.2-py3-none-any.whl

Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: Information TechnologyOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPyTopic :: Software Development :: CompilersTopic :: Text ProcessingTyping :: Typed

About pyparsing

from the package's own PyPI description — quoted content, verbatim

PyParsing -- A Python Parsing Module

Introduction

The pyparsing module is an alternative approach to creating and executing simple grammars, vs. the traditional lex/yacc approach, or the use of regular expressions. The pyparsing module provides a library of classes that client code uses to construct the grammar directly in Python code.

[Since first writing this description of pyparsing in late 2003, this technique for developing parsers has become more widespread, under the name Parsing Expression Grammars - PEGs. See more information on PEGs here <https://en.wikipedia.org/wiki/Parsing_expression_grammar>__ .]

Here is a program to parse "Hello, World!" (or any greeting of the form "salutation, addressee!"):

.. code:: python

from pyparsing import Word, alphas
greet = Word(alphas) + "," + Word(alphas) + "!"
hello = "Hello, World!"
print(hello, "-&gt;", greet.parse_string(hello))

The program outputs the following::

Hello, World! -&gt; ['Hello', ',', 'World', '!']

The Python representation of the grammar is quite...

Read as markdown · JSON record · Source repository · Homepage · Docs

AI interpretation — verify before relying

AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page

pyparsing provides a Python library for building and executing text parsing grammars directly in code, handling common parsing challenges like whitespace variation, quoted strings, and comments without requiring traditional lex/yacc tools.

Low install friction with zero runtime dependencies and a pure-Python wheel distribution. Active maintenance with a recent release (204 days ago) and 2482 GitHub stars signals reliable ongoing support.

MIT license permits commercial and private use with minimal restrictions, making pyparsing suitable for proprietary projects provided you include the license notice.

Usage

from pyparsing import Word, alphas
greet = Word(alphas) + "," + Word(alphas) + "!"
result = greet.parse_string("Hello, World!")
print(result)

Requires Python 3.9 or later.

Verdict: pyparsing is a mature, well-maintained parsing library with no known vulnerabilities, zero dependencies, and permissive licensing. It is suitable for production use across a wide range of text-parsing tasks from simple grammars to complex domain-specific languages.

Needs verification

Whether the package's type hints (Typing :: Typed classifier) provide full coverage for static analysis workflows.
Performance characteristics relative to regex-based or hand-written parsers for specific use cases.

python parsing librarygrammar parser generatortext parsing without regexparsing expression grammar pegsimple parser constructionnatural language parsingconfig file parser