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Upstream software project

python-Levenshtein

Python extension for computing string edit distances and similarities

About python-Levenshtein

Python extension for computing string edit distances and similarities

This project links 8 native package records across 5 recorded operating-system releases. Compare the retained versions and architectures below, then open the package for your own release.

These are catalog observations, not a guarantee of installation, compatibility, or upstream support.

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Project pictures and package coverage

python-Levenshtein repository preview from GitHub
Project repository preview, supplied by GitHub. Open source repository
Alpine Linux 3.22: 2 package records; Alpine Linux 3.23: 2 package records; Fedora 44: 1 package records; openSUSE Leap 16.0: 1 package records; openSUSE Tumbleweed: 2 package records. Catalog coverage diagram, not an application screenshot.python-Levenshtein: recorded package coverageAlpine Linux 3.222 recordsAlpine Linux 3.232 recordsFedora 441 recordsopenSUSE Leap 16.01 recordsopenSUSE Tumbleweed2 records
OpenFactory diagram of linked package records. It is not an application screenshot.

Project identity

Project
python-Levenshtein
Publisher
Not authoritatively mapped
Native package records
8
Operating systems
alpine-linux-3-22, alpine-linux-3-23, fedora-44, opensuse-leap-16-0, opensuse-tumbleweed
License expression
GPL-2.0-only
Metadata completeness
70/100 (not a software quality rating)
Homepage
Visit upstream site
Source repository
Open source repository

Source-reported description

The fullest retained description is shown with its source. Distribution packaging descriptions may include downstream details.

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.

Description source

Packages by operating system

Compare recorded versions, then open a package for dependency, file, checksum, and repository evidence. Version strings are distribution-specific, not a ranking of newer software.

Alpine Linux 3.22

  1. py3-levenshtein

    Alpine Linux 3.22 / source py3-levenshtein

    0.27.1-r0

    Python extension for computing string edit distances and similarities

    aarch64x86_64v3.22
  2. py3-levenshtein-pyc

    Alpine Linux 3.22 / source py3-levenshtein

    0.27.1-r0

    Precompiled Python bytecode for py3-levenshtein

    aarch64x86_64v3.22

Alpine Linux 3.23

  1. py3-levenshtein

    Alpine Linux 3.23 / source py3-levenshtein

    0.27.3-r0

    Python extension for computing string edit distances and similarities

    aarch64x86_64v3.23
  2. py3-levenshtein-pyc

    Alpine Linux 3.23 / source py3-levenshtein

    0.27.3-r0

    Precompiled Python bytecode for py3-levenshtein

    aarch64x86_64v3.23

Fedora 44

  1. python3-Levenshtein

    Fedora 44 / Unspecified / source python-Levenshtein

    0.27.3-2.fc44

    Python extension computing string distances and similarities

    aarch64x86_6444

openSUSE Leap 16.0

  1. python313-Levenshtein

    openSUSE Leap 16.0 / Unspecified / source python-Levenshtein

    0.27.1-bp160.1.2

    Python extension computing string distances and similarities

    aarch64ppc64les390xx86_64leap-16.0

openSUSE Tumbleweed

  1. python313-Levenshtein

    openSUSE Tumbleweed / Unspecified / source python-Levenshtein

    0.27.1-1.8

    Python extension computing string distances and similarities

    x86_64tumbleweed
  2. python314-Levenshtein

    openSUSE Tumbleweed / Unspecified / source python-Levenshtein

    0.27.1-1.8

    Python extension computing string distances and similarities

    x86_64tumbleweed

Project resources and further reading

Mapping provenance

Only source-backed identity signals create public cross-OS links. A reviewer can later approve or dispute an inferred relationship without rewriting native package history.

No field-level source record is published yet.