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-0.25.1.tar.gz (12.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

python_Levenshtein-0.25.1-py3-none-any.whl (9.4 kB view details)

Uploaded Python 3

File details

Details for the file python-Levenshtein-0.25.1.tar.gz.

File metadata

  • Download URL: python-Levenshtein-0.25.1.tar.gz
  • Upload date:
  • Size: 12.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for python-Levenshtein-0.25.1.tar.gz
Algorithm Hash digest
SHA256 b21e7efe83c8e8dc8260f2143b2393c6c77cb2956f0c53de6c4731c4d8006acc
MD5 9c8d84486e2e95b985711b5449bb0fb7
BLAKE2b-256 7209fa674fdab63266fdc0ff5d4ab88e0ad3c135185500b76bfd1e1977b679cb

See more details on using hashes here.

File details

Details for the file python_Levenshtein-0.25.1-py3-none-any.whl.

File metadata

File hashes

Hashes for python_Levenshtein-0.25.1-py3-none-any.whl
Algorithm Hash digest
SHA256 654446d1ea4acbcc573d44c43775854834a7547e4cb2f79f638f738134d72037
MD5 89dd30836f30ea8e88f177800af1205c
BLAKE2b-256 728e559c539e76bc0b1defec3da39a047fe151258efc9b215bf41db41e2c7922

See more details on using hashes here.

Supported by

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