Skip to main content

Python extension for computing string edit distances and similarities.

Project description

Levenshtein

Continous Integration PyPI package version Python versions Documentation GitHub license

Introduction

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

:warning: The package was renamed to Levenshtein and can be found here. The python-Levenshtein package will continue to be updated alongside the new package

Requirements

  • Python 3.8 or later

Installation

pip install levenshtein

Documentation

The documentation for the current version can be found at https://rapidfuzz.github.io/Levenshtein/

Support the project

If you are using Levenshtein for your work and feel like giving a bit of your own benefit back to support the project, consider sending us money through GitHub Sponsors or PayPal that we can use to buy us free time for the maintenance of this great library, to fix bugs in the software, review and integrate code contributions, to improve its features and documentation, or to just take a deep breath and have a cup of tea every once in a while. Thank you for your support.

Support the project through GitHub Sponsors or via PayPal:

.

License

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

python-Levenshtein-0.25.0.tar.gz (12.2 kB view details)

Uploaded Source

Built Distribution

python_Levenshtein-0.25.0-py3-none-any.whl (9.4 kB view details)

Uploaded Python 3

File details

Details for the file python-Levenshtein-0.25.0.tar.gz.

File metadata

  • Download URL: python-Levenshtein-0.25.0.tar.gz
  • Upload date:
  • Size: 12.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for python-Levenshtein-0.25.0.tar.gz
Algorithm Hash digest
SHA256 6b826b0f14f3191fd04cc6e151ec7aa5b4c2de0607091154995df81913893b65
MD5 cb0799dffa01d020abc22f690031711f
BLAKE2b-256 ff6162a9635ea2b2ad709bec287469fb87a6641e278319a83d3a4d38f5460657

See more details on using hashes here.

File details

Details for the file python_Levenshtein-0.25.0-py3-none-any.whl.

File metadata

File hashes

Hashes for python_Levenshtein-0.25.0-py3-none-any.whl
Algorithm Hash digest
SHA256 fc4a985d664b307f3b7f245d25f28236ece41c039de894f0e26e77614b0eef68
MD5 3f3fb46a6071d6ac33e4c427e693572c
BLAKE2b-256 c979eaa5f632f10be7b9ff85673be2246926e5a6a83fc489a228a22a95b5dcf0

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page