pyrsdameraulevenshtein

PyPI version PyPI downloads License: GPL-3.0-or-later CI

A fast Damerau–Levenshtein distance, implemented in Rust and exposed to Python.

The Damerau–Levenshtein distance counts the minimum number of insertions, deletions, substitutions, and adjacent transpositions (swaps) needed to turn one sequence into another. This library returns that distance, its normalized form, and a similarity score — tuned for computing many distances quickly.

It works over three kinds of sequences from a single, consistent API:

  • Lists of integers — distance_int([1, 2, 3], [1, 3])
  • Lists of strings — distance_str(["A", "B", "C"], ["A", "C"])
  • Plain strings (Unicode) — distance_unicode("ABC", "AC")

Most string-distance libraries only handle the last case. If plain strings are all you need, editdistance, jellyfish, and textdistance are excellent choices. This package is for when you also need lists of integers or strings, or want one fast, uniform API for all three.

Install

pip install pyrsdameraulevenshtein

Supports Python 3.11, 3.12, 3.13, and 3.14. Prebuilt wheels are provided for Linux (x86_64, i686, aarch64, armv7, s390x, ppc64le), macOS (Apple silicon), and Windows (x64, x86); an sdist is also available.

Usage

import pyrsdameraulevenshtein as dl

# Lists of integers
dl.distance_int([1, 2, 3], [1, 3])              # 1
dl.normalized_distance_int([1, 2, 3], [1, 3])    # 0.33…
dl.similarity_int([1, 2, 3], [1, 3])             # 0.66…

# Lists of strings
dl.distance_str(["A", "B", "C"], ["A", "C"])              # 1
dl.normalized_distance_str(["A", "B", "C"], ["A", "C"])    # 0.33…
dl.similarity_str(["A", "B", "C"], ["A", "C"])             # 0.66…

# Plain strings (Unicode)
dl.distance_unicode("ABC", "AC")              # 1
dl.normalized_distance_unicode("ABC", "AC")    # 0.33…
dl.similarity_unicode("ABC", "AC")             # 0.66…

API

All functions take (seq1, seq2). There is one family per input type:

Lists of integers Lists of strings Strings
Distance distance_int distance_str distance_unicode
Normalized distance normalized_distance_int normalized_distance_str normalized_distance_unicode
Similarity similarity_int similarity_str similarity_unicode
  • distance_* — the raw Damerau–Levenshtein distance (number of edits). Returns int.
  • normalized_distance_* — the distance divided by the length of the longer sequence. Returns float in [0.0, 1.0].
  • similarity_* — 1.0 - normalized_distance_*. Returns float in [0.0, 1.0]; higher means more similar.

Development

  1. Create a virtual environment.
  2. Install the test dependencies: pip install -r requirements.txt
  3. Build the Rust extension into the environment:
    • Development build: maturin develop
    • Release wheel: maturin build --release
    • Install wheel (to not run with dev mode): pip install target/wheels/....whl
  4. Run the tests: python tests/DamerauLevenshteinTest.py

Performance

The numbers below compare this implementation against other libraries on 100,000 random sequences of length 10 (lower is faster). The full benchmark lives in tests/DamerauLevenshteinTest.py — run it on your own hardware, since results depend heavily on the workload and platform.

Lists of integers (seconds)

Implementation Time
pyrsdameraulevenshtein 0.085
fastDamerauLevenshtein 0.126
pyxdameraulevenshtein 0.307

Strings (seconds)

Implementation Time
textdistance 0.019
jellyfish 0.055
pyrsdameraulevenshtein 0.076
fastDamerauLevenshtein 0.128
pyxdameraulevenshtein 0.393

Two takeaways:

  • For lists of integers and lists of strings, this implementation is the fastest of the group — and it is the only one that handles both in a single package.
  • For plain strings, dedicated string libraries (textdistance, jellyfish) can be faster. They simply don't support lists, which is where this library earns its place.

Representative numbers measured on an Apple M1 Mac with Python 3.10. Your mileage will vary.

License

GPL-3.0-or-later. See LICENSE.

Project links

Key dates

PyPI data
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  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for JoLeaf1 from gravatar.com JoLeaf1

Credits

Author: Jonas Blatt

License

GNU General Public License v3 (GPLv3)

Requires

Python >=3.11

Tags

distance rust dameraulevenshtein damerau levenshtein

Classifiers

Report project as malware

Metadata

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for JoLeaf1 from gravatar.com JoLeaf1

Credits

Author: Jonas Blatt

License

GNU General Public License v3 (GPLv3)

Requires

Python >=3.11

Tags

distance rust dameraulevenshtein damerau levenshtein

Classifiers

Report project as malware

Release files for pyrsdameraulevenshtein 1.3.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pyrsdameraulevenshtein 1.3.0
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Built distributions (wheels)

Table of built distributions (wheels) for pyrsdameraulevenshtein 1.3.0
File
pyrsdameraulevenshtein-1.3.0-pp311-pypy311_pp73-musllinux_1_2_x86_64.whl 466.1 kB PyPy 3.11 PyPy 3.11 7.3 Linux musl 1.2+ x86-64 Details
pyrsdameraulevenshtein-1.3.0-pp311-pypy311_pp73-musllinux_1_2_i686.whl 497.4 kB PyPy 3.11 PyPy 3.11 7.3 Linux musl 1.2+ x86-32 Details
pyrsdameraulevenshtein-1.3.0-pp311-pypy311_pp73-musllinux_1_2_armv7l.whl 535.7 kB PyPy 3.11 PyPy 3.11 7.3 Linux musl 1.2+ ARMv7l Details
pyrsdameraulevenshtein-1.3.0-pp311-pypy311_pp73-musllinux_1_2_aarch64.whl 436.1 kB PyPy 3.11 PyPy 3.11 7.3 Linux musl 1.2+ ARM64 Details
pyrsdameraulevenshtein-1.3.0-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 261.9 kB PyPy 3.11 PyPy 3.11 7.3 Linux glibc 2.17+ x86-64 Details
pyrsdameraulevenshtein-1.3.0-pp311-pypy311_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl 278.0 kB PyPy 3.11 PyPy 3.11 7.3 Linux glibc 2.17+ IBM System/390x Details
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pyrsdameraulevenshtein-1.3.0-pp311-pypy311_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl 260.1 kB PyPy 3.11 PyPy 3.11 7.3 Linux glibc 2.17+ ARMv7l Details
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pyrsdameraulevenshtein-1.3.0-cp314-cp314t-musllinux_1_2_x86_64.whl 462.6 kB CPython 3.14 CPython 3.14 free-threading Linux musl 1.2+ x86-64 Details
pyrsdameraulevenshtein-1.3.0-cp314-cp314t-musllinux_1_2_i686.whl 492.2 kB CPython 3.14 CPython 3.14 free-threading Linux musl 1.2+ x86-32 Details
pyrsdameraulevenshtein-1.3.0-cp314-cp314t-musllinux_1_2_armv7l.whl 531.7 kB CPython 3.14 CPython 3.14 free-threading Linux musl 1.2+ ARMv7l Details
pyrsdameraulevenshtein-1.3.0-cp314-cp314t-musllinux_1_2_aarch64.whl 431.5 kB CPython 3.14 CPython 3.14 free-threading Linux musl 1.2+ ARM64 Details
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pyrsdameraulevenshtein-1.3.0-cp314-cp314-musllinux_1_2_x86_64.whl 462.2 kB CPython 3.14 CPython 3.14 Linux musl 1.2+ x86-64 Details
pyrsdameraulevenshtein-1.3.0-cp314-cp314-musllinux_1_2_i686.whl 492.7 kB CPython 3.14 CPython 3.14 Linux musl 1.2+ x86-32 Details
pyrsdameraulevenshtein-1.3.0-cp314-cp314-musllinux_1_2_armv7l.whl 531.9 kB CPython 3.14 CPython 3.14 Linux musl 1.2+ ARMv7l Details
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pyrsdameraulevenshtein-1.3.0-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl 275.1 kB CPython 3.14 CPython 3.14 Linux glibc 2.17+ IBM System/390x Details
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pyrsdameraulevenshtein-1.3.0-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl 257.1 kB CPython 3.14 CPython 3.14 Linux glibc 2.17+ ARMv7l Details
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pyrsdameraulevenshtein-1.3.0-cp314-cp314-manylinux_2_5_i686.manylinux1_i686.whl 271.9 kB CPython 3.14 CPython 3.14 Linux glibc 2.5+ x86-32 Details
pyrsdameraulevenshtein-1.3.0-cp314-cp314-macosx_11_0_arm64.whl 230.7 kB CPython 3.14 CPython 3.14 macOS 11.0+ ARM64 Details
pyrsdameraulevenshtein-1.3.0-cp313-cp313-win_amd64.whl 123.7 kB CPython 3.13 CPython 3.13 Windows x86-64 Details
pyrsdameraulevenshtein-1.3.0-cp313-cp313-musllinux_1_2_x86_64.whl 461.7 kB CPython 3.13 CPython 3.13 Linux musl 1.2+ x86-64 Details
pyrsdameraulevenshtein-1.3.0-cp313-cp313-musllinux_1_2_i686.whl 492.0 kB CPython 3.13 CPython 3.13 Linux musl 1.2+ x86-32 Details
pyrsdameraulevenshtein-1.3.0-cp313-cp313-musllinux_1_2_armv7l.whl 531.4 kB CPython 3.13 CPython 3.13 Linux musl 1.2+ ARMv7l Details
pyrsdameraulevenshtein-1.3.0-cp313-cp313-musllinux_1_2_aarch64.whl 431.3 kB CPython 3.13 CPython 3.13 Linux musl 1.2+ ARM64 Details
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pyrsdameraulevenshtein-1.3.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl 274.2 kB CPython 3.13 CPython 3.13 Linux glibc 2.17+ IBM System/390x Details
pyrsdameraulevenshtein-1.3.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl 377.7 kB CPython 3.13 CPython 3.13 Linux glibc 2.17+ PowerPC 64-le Details
pyrsdameraulevenshtein-1.3.0-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl 256.4 kB CPython 3.13 CPython 3.13 Linux glibc 2.17+ ARMv7l Details
pyrsdameraulevenshtein-1.3.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 254.1 kB CPython 3.13 CPython 3.13 Linux glibc 2.17+ ARM64 Details
pyrsdameraulevenshtein-1.3.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl 271.5 kB CPython 3.13 CPython 3.13 Linux glibc 2.5+ x86-32 Details
pyrsdameraulevenshtein-1.3.0-cp313-cp313-macosx_11_0_arm64.whl 229.7 kB CPython 3.13 CPython 3.13 macOS 11.0+ ARM64 Details
pyrsdameraulevenshtein-1.3.0-cp312-cp312-win_amd64.whl 123.7 kB CPython 3.12 CPython 3.12 Windows x86-64 Details
pyrsdameraulevenshtein-1.3.0-cp312-cp312-musllinux_1_2_x86_64.whl 461.8 kB CPython 3.12 CPython 3.12 Linux musl 1.2+ x86-64 Details
pyrsdameraulevenshtein-1.3.0-cp312-cp312-musllinux_1_2_i686.whl 492.0 kB CPython 3.12 CPython 3.12 Linux musl 1.2+ x86-32 Details
pyrsdameraulevenshtein-1.3.0-cp312-cp312-musllinux_1_2_armv7l.whl 531.2 kB CPython 3.12 CPython 3.12 Linux musl 1.2+ ARMv7l Details
pyrsdameraulevenshtein-1.3.0-cp312-cp312-musllinux_1_2_aarch64.whl 431.2 kB CPython 3.12 CPython 3.12 Linux musl 1.2+ ARM64 Details
pyrsdameraulevenshtein-1.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 257.9 kB CPython 3.12 CPython 3.12 Linux glibc 2.17+ x86-64 Details
pyrsdameraulevenshtein-1.3.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl 274.1 kB CPython 3.12 CPython 3.12 Linux glibc 2.17+ IBM System/390x Details
pyrsdameraulevenshtein-1.3.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl 376.2 kB CPython 3.12 CPython 3.12 Linux glibc 2.17+ PowerPC 64-le Details
pyrsdameraulevenshtein-1.3.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl 256.1 kB CPython 3.12 CPython 3.12 Linux glibc 2.17+ ARMv7l Details
pyrsdameraulevenshtein-1.3.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 254.3 kB CPython 3.12 CPython 3.12 Linux glibc 2.17+ ARM64 Details
pyrsdameraulevenshtein-1.3.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl 271.4 kB CPython 3.12 CPython 3.12 Linux glibc 2.5+ x86-32 Details
pyrsdameraulevenshtein-1.3.0-cp312-cp312-macosx_11_0_arm64.whl 229.5 kB CPython 3.12 CPython 3.12 macOS 11.0+ ARM64 Details
pyrsdameraulevenshtein-1.3.0-cp311-cp311-win_amd64.whl 126.1 kB CPython 3.11 CPython 3.11 Windows x86-64 Details
pyrsdameraulevenshtein-1.3.0-cp311-cp311-musllinux_1_2_x86_64.whl 464.9 kB CPython 3.11 CPython 3.11 Linux musl 1.2+ x86-64 Details
pyrsdameraulevenshtein-1.3.0-cp311-cp311-musllinux_1_2_i686.whl 495.6 kB CPython 3.11 CPython 3.11 Linux musl 1.2+ x86-32 Details
pyrsdameraulevenshtein-1.3.0-cp311-cp311-musllinux_1_2_armv7l.whl 534.2 kB CPython 3.11 CPython 3.11 Linux musl 1.2+ ARMv7l Details
pyrsdameraulevenshtein-1.3.0-cp311-cp311-musllinux_1_2_aarch64.whl 435.3 kB CPython 3.11 CPython 3.11 Linux musl 1.2+ ARM64 Details
pyrsdameraulevenshtein-1.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 261.4 kB CPython 3.11 CPython 3.11 Linux glibc 2.17+ x86-64 Details
pyrsdameraulevenshtein-1.3.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl 276.6 kB CPython 3.11 CPython 3.11 Linux glibc 2.17+ IBM System/390x Details
pyrsdameraulevenshtein-1.3.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl 381.4 kB CPython 3.11 CPython 3.11 Linux glibc 2.17+ PowerPC 64-le Details
pyrsdameraulevenshtein-1.3.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl 258.8 kB CPython 3.11 CPython 3.11 Linux glibc 2.17+ ARMv7l Details
pyrsdameraulevenshtein-1.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 257.2 kB CPython 3.11 CPython 3.11 Linux glibc 2.17+ ARM64 Details
pyrsdameraulevenshtein-1.3.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl 274.6 kB CPython 3.11 CPython 3.11 Linux glibc 2.5+ x86-32 Details
pyrsdameraulevenshtein-1.3.0-cp311-cp311-macosx_11_0_arm64.whl 234.2 kB CPython 3.11 CPython 3.11 macOS 11.0+ ARM64 Details

Total release size: 24.4 MB

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1.3.0 This release

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1.0.1

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1.0.0

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