The Levenshtein Python C extension module contains functions for fast computation of
- Levenshtein (edit) distance, and edit operations
- string similarity
- approximate median strings, and generally string averaging
- string sequence and set similarity
It supports both normal and Unicode strings.
Python 2.2 or newer is required; Python 3 is supported.
StringMatcher.py is an example SequenceMatcher-like class built on the top of Levenshtein. It misses some SequenceMatcher's functionality, and has some extra OTOH.
Levenshtein.c can be used as a pure C library, too. You only have to define NO_PYTHON preprocessor symbol (-DNO_PYTHON) when compiling it. The functionality is similar to that of the Python extension. No separate docs are provided yet, RTFS. But they are not interchangeable:
- C functions exported when compiling with -DNO_PYTHON (see Levenshtein.h) are not exported when compiling as a Python extension (and vice versa)
- Unicode character type used with -DNO_PYTHON is wchar_t, Python extension uses Py_UNICODE, they may be the same but don't count on it
pip install python-Levenshtein
gendoc.sh generates HTML API documentation,
you probably want a selfcontained instead of includable version, so run
in ./gendoc.sh --selfcontained. It needs Levenshtein already installed
and genextdoc.py.
Levenshtein is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.
See the file COPYING for the full text of GNU General Public License version 2.
This package was long missing from the Python Package Index and available as source checkout only, but can now be found on PyPI again.
We needed to restore this package for Go Mobile for Plone and Pywurfl projects which depend on this.
- Maintainer: Antti Haapala <[email protected]>
- Python 3 compatibility: Esa Määttä
- Jonatas CD: Fixed documentation generation
- Previous maintainer: Mikko Ohtamaa
- Original code: David Necas (Yeti) <yeti at physics.muni.cz>