rapid fuzzy string matching

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for maxbachmann from gravatar.com maxbachmann

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License
  • Author: Max Bachmann
  • Requires: Python >=3.5
Classifiers

Project description

RapidFuzz

Rapid fuzzy string matching in Python and C++ using the Levenshtein Distance

Continous Integration PyPI package version Conda Version Python versions GitHub license

Description • Installation • Usage • License

Description

RapidFuzz is a fast string matching library for Python and C++, which is using the string similarity calculations from FuzzyWuzzy. However there are two aspects that set RapidFuzz apart from FuzzyWuzzy:

  1. It is MIT licensed so it can be used whichever License you might want to choose for your project, while you're forced to adopt the GPL license when using FuzzyWuzzy
  2. It is mostly written in C++ and on top of this comes with a lot of Algorithmic improvements to make string matching even faster, while still providing the same results. More details on these performance improvements in form of benchmarks can be found here

Installation

RapidFuzz can be installed using pip

$ pip install rapidfuzz

There are pre-built binaries (wheels) for RapidFuzz and its dependencies for MacOS (10.9 and later), Linux x86_64 and Windows.

For any other architecture/os RapidFuzz can be installed from the source distribution. To do so, a C++14 capable compiler must be installed before running the pip install rapidfuzz command. While Linux and MacOs usually come with a compiler it is required to install C++-Buildtools on Windows.

Usage

> from rapidfuzz import fuzz
> from rapidfuzz import process

Simple Ratio

> fuzz.ratio("this is a test", "this is a test!")
96.55171966552734

Partial Ratio

> fuzz.partial_ratio("this is a test", "this is a test!")
100.0

Token Sort Ratio

> fuzz.ratio("fuzzy wuzzy was a bear", "wuzzy fuzzy was a bear")
90.90908813476562
> fuzz.token_sort_ratio("fuzzy wuzzy was a bear", "wuzzy fuzzy was a bear")
100.0

Token Set Ratio

> fuzz.token_sort_ratio("fuzzy was a bear", "fuzzy fuzzy was a bear")
83.8709716796875
> fuzz.token_set_ratio("fuzzy was a bear", "fuzzy fuzzy was a bear")
100.0

Process

> choices = ["Atlanta Falcons", "New York Jets", "New York Giants", "Dallas Cowboys"]
> process.extract("new york jets", choices, limit=2)
[('new york jets', 100), ('new york giants', 78.57142639160156)]
> process.extractOne("cowboys", choices)
("dallas cowboys", 90)

License

RapidFuzz is licensed under the MIT license since I believe that everyone should be able to use it without being forced to adopt the GPL license. Thats why the library is based on an older version of fuzzywuzzy that was MIT licensed as well. This old version of fuzzywuzzy can be found here.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for maxbachmann from gravatar.com maxbachmann

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License
  • Author: Max Bachmann
  • Requires: Python >=3.5
Classifiers

Release history Release notifications | RSS feed

3.10.1

3.10.0

3.9.7

3.9.6

3.9.5

3.9.4

3.9.3

3.9.2

3.9.1

3.9.0

3.8.1

3.8.0

3.7.0

3.6.2

3.6.1

3.6.0

3.5.2

3.5.1

3.4.0

3.3.1

3.3.0

3.2.0

3.1.2

3.1.1

3.1.0

3.0.0

2.15.2

2.15.1

2.15.0

2.14.0

2.13.7

2.13.6

2.13.5

2.13.4

2.13.3

2.13.2

2.13.1

2.13.0

2.12.0

2.11.1

2.11.0

2.10.3

2.10.2

2.10.1

2.10.0

2.9.0

2.8.0

2.7.0

2.6.1

2.6.0

2.5.0

2.4.3

2.4.2

2.4.1

2.3.0

2.2.0

2.1.4

2.1.3

2.1.2

2.1.1

2.1.0

2.0.15

2.0.14

2.0.13

2.0.12

2.0.11

2.0.10

2.0.9

2.0.8

2.0.7

2.0.6

2.0.5

2.0.4

2.0.3

2.0.2

2.0.1

2.0.0

1.9.1

1.9.0

1.8.3

1.8.2

1.8.1

1.8.0

1.7.1

1.7.0

1.6.2

1.6.1

1.6.0

1.5.1

1.5.0

1.4.1

1.4.0

1.3.3

1.3.2

1.3.1

1.3.0

1.2.1

1.2.0

1.1.2

1.1.1

1.1.0

1.0.2

1.0.1

1.0.0

0.14.2

0.14.1

0.14.0

0.13.4

0.13.3

0.13.2

0.13.1

0.13.0

0.12.5

0.12.4

0.12.3

0.12.2

0.12.1

0.12.0

0.11.3

0.11.2

0.11.1

0.11.0

0.10.0

0.9.1

This version

0.9.0

0.8.2

0.8.1

0.8.0

0.7.12

0.7.11

0.7.10

0.7.9

0.7.8

0.7.7

0.7.6

0.7.5

0.7.4

0.7.3

0.7.2

0.7.1

0.7.0

0.6.8

0.6.7

0.6.6

0.6.5

0.6.4

0.6.3

0.6.2

0.6.1

0.6.0

0.5.3

0.5.2

0.5.1

0.5.0

0.4.0

0.3.0

0.2.2

0.2.1

0.2.0

0.1.1

0.1.0

0.0.8

0.0.7

0.0.6

Download files

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

Source Distribution

rapidfuzz-0.9.0.tar.gz (70.6 kB view details)

Uploaded Source

Built Distributions

rapidfuzz-0.9.0-pp36-pypy36_pp73-win32.whl (78.4 kB view details)

Uploaded PyPy Windows x86

rapidfuzz-0.9.0-pp36-pypy36_pp73-manylinux2010_x86_64.whl (150.3 kB view details)

Uploaded PyPy manylinux: glibc 2.12+ x86-64

rapidfuzz-0.9.0-pp36-pypy36_pp73-macosx_10_9_x86_64.whl (123.2 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

rapidfuzz-0.9.0-cp38-cp38-win_amd64.whl (125.9 kB view details)

Uploaded CPython 3.8 Windows x86-64

rapidfuzz-0.9.0-cp38-cp38-win32.whl (82.8 kB view details)

Uploaded CPython 3.8 Windows x86

rapidfuzz-0.9.0-cp38-cp38-manylinux2010_x86_64.whl (2.0 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

rapidfuzz-0.9.0-cp38-cp38-manylinux2010_i686.whl (2.0 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ i686

rapidfuzz-0.9.0-cp38-cp38-macosx_10_9_x86_64.whl (127.4 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

rapidfuzz-0.9.0-cp37-cp37m-win_amd64.whl (125.7 kB view details)

Uploaded CPython 3.7m Windows x86-64

rapidfuzz-0.9.0-cp37-cp37m-win32.whl (82.8 kB view details)

Uploaded CPython 3.7m Windows x86

rapidfuzz-0.9.0-cp37-cp37m-manylinux2010_x86_64.whl (2.0 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64

rapidfuzz-0.9.0-cp37-cp37m-manylinux2010_i686.whl (2.0 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ i686

rapidfuzz-0.9.0-cp37-cp37m-macosx_10_9_x86_64.whl (127.5 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

rapidfuzz-0.9.0-cp36-cp36m-win_amd64.whl (125.7 kB view details)

Uploaded CPython 3.6m Windows x86-64

rapidfuzz-0.9.0-cp36-cp36m-win32.whl (82.8 kB view details)

Uploaded CPython 3.6m Windows x86

rapidfuzz-0.9.0-cp36-cp36m-manylinux2010_x86_64.whl (2.0 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.12+ x86-64

rapidfuzz-0.9.0-cp36-cp36m-manylinux2010_i686.whl (2.0 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.12+ i686

rapidfuzz-0.9.0-cp36-cp36m-macosx_10_9_x86_64.whl (127.5 kB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

rapidfuzz-0.9.0-cp35-cp35m-win_amd64.whl (125.7 kB view details)

Uploaded CPython 3.5m Windows x86-64

rapidfuzz-0.9.0-cp35-cp35m-win32.whl (82.8 kB view details)

Uploaded CPython 3.5m Windows x86

rapidfuzz-0.9.0-cp35-cp35m-manylinux2010_x86_64.whl (2.0 MB view details)

Uploaded CPython 3.5m manylinux: glibc 2.12+ x86-64

rapidfuzz-0.9.0-cp35-cp35m-manylinux2010_i686.whl (2.0 MB view details)

Uploaded CPython 3.5m manylinux: glibc 2.12+ i686

rapidfuzz-0.9.0-cp35-cp35m-macosx_10_9_x86_64.whl (121.1 kB view details)

Uploaded CPython 3.5m macOS 10.9+ x86-64

File details

Details for the file rapidfuzz-0.9.0.tar.gz.

File metadata

  • Download URL: rapidfuzz-0.9.0.tar.gz
  • Upload date:
  • Size: 70.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2

File hashes

Hashes for rapidfuzz-0.9.0.tar.gz
Algorithm Hash digest
SHA256 00b345140c3c9c700efc3d875661287686a425cacf1f031e6fc4c84c4ee6b6f8
MD5 0369e199fc2bd29f69fa1ae1ea41db73
BLAKE2b-256 1d12ed7a86dc5bb85022fe44bc94cdb64c03f753f03b13aef7f609526e7a3481

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.9.0-pp36-pypy36_pp73-win32.whl.

File metadata

  • Download URL: rapidfuzz-0.9.0-pp36-pypy36_pp73-win32.whl
  • Upload date:
  • Size: 78.4 kB
  • Tags: PyPy, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2

File hashes

Hashes for rapidfuzz-0.9.0-pp36-pypy36_pp73-win32.whl
Algorithm Hash digest
SHA256 386107e61d2deae67634e0d0eb99205760566a7663dd7669d8d999c43be3ac98
MD5 4a52ac4f9284e35fb953cf225645b8db
BLAKE2b-256 88e82b07470c04832db1da773c2a03fa15b17b90b000e58c4a215641118ce0d1

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.9.0-pp36-pypy36_pp73-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.9.0-pp36-pypy36_pp73-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 150.3 kB
  • Tags: PyPy, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2

File hashes

Hashes for rapidfuzz-0.9.0-pp36-pypy36_pp73-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 92a3902ff66b5bffb41b1dc51baf46d087229a750202c85fb244ff23a5d978c0
MD5 b4a8d3423e59ceccca0f0a0d85b81738
BLAKE2b-256 4f2a0909fdcaa7d14f375c1385153669eca336f746295b41dbb757a648a9d566

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.9.0-pp36-pypy36_pp73-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.9.0-pp36-pypy36_pp73-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 123.2 kB
  • Tags: PyPy, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2

File hashes

Hashes for rapidfuzz-0.9.0-pp36-pypy36_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b186296388ae91942cb8d7c97d0b0438c372566717521a546d78cdf1333b2dd5
MD5 ce9a475c232867d273a3288c768fe43b
BLAKE2b-256 1e8d6b8f307ab68052f9c0dd0adfe3bae5b421feda807b2714a8a4e5de8951a8

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.9.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: rapidfuzz-0.9.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 125.9 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2

File hashes

Hashes for rapidfuzz-0.9.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 7f61d9f0586aee29a684eefd652456b65fd5de7f1f76016d8e30d7c1b3cf328e
MD5 fb0ee6fe6ddae501eb9fc77380d5cf7b
BLAKE2b-256 7997e615a380037c0afb9f131b2121f5e7d4cc6256a7c3cabd0af9c4986eefd8

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.9.0-cp38-cp38-win32.whl.

File metadata

  • Download URL: rapidfuzz-0.9.0-cp38-cp38-win32.whl
  • Upload date:
  • Size: 82.8 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2

File hashes

Hashes for rapidfuzz-0.9.0-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 0baeb77d9f64fc8855344e40a9e7e0beebfd5da98d43ab3d7bfc230b58571919
MD5 8faf6f7177df98feaf9316d91a0eebc2
BLAKE2b-256 71c2d4ef43519bd2242768d5e4456d34dd5ed32b10a8f314a5b931cb0079b5f7

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.9.0-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.9.0-cp38-cp38-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.8, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2

File hashes

Hashes for rapidfuzz-0.9.0-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 ede394d41b4f6340965c477ce5d12b05afeaa315d94cb0fc9d311b6949a1823f
MD5 f48a3df9265c838ab7a602ab65f586d2
BLAKE2b-256 c60affef79941c0c6208fa60fa4b7961fd65387e5b88105f00d32d357d5d484e

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.9.0-cp38-cp38-manylinux2010_i686.whl.

File metadata

  • Download URL: rapidfuzz-0.9.0-cp38-cp38-manylinux2010_i686.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.8, manylinux: glibc 2.12+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2

File hashes

Hashes for rapidfuzz-0.9.0-cp38-cp38-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 72de5b6ed21134e056cdbc00eb7a73f98ebfec9b945ab292e63be008b08f5ba5
MD5 bd39fa9f02792c782489b3b5e54c2b2e
BLAKE2b-256 0e911be50354b9d5c6b5faca13c80adaff30e5c951833f9e26cc84135a289a54

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.9.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.9.0-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 127.4 kB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2

File hashes

Hashes for rapidfuzz-0.9.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a2cf797c6b9740caa253e98267e837cf9b06c46287e7b0dab9ef659f2226a834
MD5 b69b45098037cc5013c9a8806e1d7cb9
BLAKE2b-256 f40146e59f8f8af74e7f777acdf036bb568593f32c11c895029b8089cc84efc6

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.9.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: rapidfuzz-0.9.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 125.7 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2

File hashes

Hashes for rapidfuzz-0.9.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 b025aabbf0351c57a82d0ce16649ad4806cf6a6be86f5288bfdb69ee47632883
MD5 60c9c427f78092f3523e5acea3a8dac2
BLAKE2b-256 92b6043f4b7c3612498aa461775000b2edfc4329377d23324b5bf24e4bb3cb60

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.9.0-cp37-cp37m-win32.whl.

File metadata

  • Download URL: rapidfuzz-0.9.0-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 82.8 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2

File hashes

Hashes for rapidfuzz-0.9.0-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 2ddce322b31093230d9d7ca6988e0794a507e394d7daa187f2d2f3278b047394
MD5 26e805dff9469b1348c3e8526380e13a
BLAKE2b-256 3d463848aeeb54885b099366273f2ed366a1d55f71094e0e728ad24ddc81d0ef

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.9.0-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.9.0-cp37-cp37m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2

File hashes

Hashes for rapidfuzz-0.9.0-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 1dacba5e594b04e7fa02a2ba92e4a39060f164b59c1c6a0911d5880b350d06b8
MD5 15604dcb6e8b8b55bed9ddf8b2ee02ad
BLAKE2b-256 690548b53de5a12bc1ad08bf17673c02ff49db66dfc8ceef314d0390152d4ae0

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.9.0-cp37-cp37m-manylinux2010_i686.whl.

File metadata

  • Download URL: rapidfuzz-0.9.0-cp37-cp37m-manylinux2010_i686.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.12+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2

File hashes

Hashes for rapidfuzz-0.9.0-cp37-cp37m-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 56c527f5a6ad167aa346461221c86df5f3f1abbfd4e6d7ad30b804cc1b253697
MD5 4b855410f354daa503f1015559862283
BLAKE2b-256 2bed75b009f49efdcbd3325224dab6ee8324f276eeb3722540cbce532a63785a

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.9.0-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.9.0-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 127.5 kB
  • Tags: CPython 3.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2

File hashes

Hashes for rapidfuzz-0.9.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 0fe9cc931228d25a62c4bdb09b1911bac98aa31033a6ec9747c4c81a8940197c
MD5 e058250d2e3a33e89e2460c7fb1b807d
BLAKE2b-256 61eac11692b50eaa6aa0ee366d9fd61c40ddfd852af2b7e1cbaff7244d4c3a8a

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.9.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: rapidfuzz-0.9.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 125.7 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2

File hashes

Hashes for rapidfuzz-0.9.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 b348216e969028dace6a91514689897310460ab558eb9eae4e47bf510b8414a9
MD5 975b603690557c4a2e136570082111ce
BLAKE2b-256 b2f3d07acc4d5cd34045efa5d65e22a87d31e73fda0ad0062a8daeeaeb169700

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.9.0-cp36-cp36m-win32.whl.

File metadata

  • Download URL: rapidfuzz-0.9.0-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 82.8 kB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2

File hashes

Hashes for rapidfuzz-0.9.0-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 52227f4f318f369f71e1c91fe43aa4cc9b261f7ba085a38bff9d9032482f259a
MD5 31af8e5bef6c64bd9d793a63bdbc9890
BLAKE2b-256 e58c360b55306dc7c3059d216ea7d0fba4896ea7c1071a45fd52223df8bb6bf6

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.9.0-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.9.0-cp36-cp36m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.6m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2

File hashes

Hashes for rapidfuzz-0.9.0-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 6940fb1fc4770705ad614ab80b406ece680309fcafb9bb72b555febb9db05138
MD5 b4f851a35b3e852c6e877bc5372e4144
BLAKE2b-256 16414edee805883eb1b23053d9ac0c25b3fb2d17ebf4880504f7db9341d6ab84

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.9.0-cp36-cp36m-manylinux2010_i686.whl.

File metadata

  • Download URL: rapidfuzz-0.9.0-cp36-cp36m-manylinux2010_i686.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.6m, manylinux: glibc 2.12+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2

File hashes

Hashes for rapidfuzz-0.9.0-cp36-cp36m-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 706962097c544cf3c1095055dd9699cfd030ee6b828a20909f2b675299aa438a
MD5 708aeb0961adb57b41f0ca221763af7e
BLAKE2b-256 ec524158fc9958120a217f51f4aeafd6cc4d28f951239320474662a52aabd42f

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.9.0-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.9.0-cp36-cp36m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 127.5 kB
  • Tags: CPython 3.6m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2

File hashes

Hashes for rapidfuzz-0.9.0-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 3cf893855f4f73a9f56e16cc6d07c862db12ef3e26d0b76d7d20f80f886aaf1a
MD5 623d0aca252cfb32f173d8fe1c5cc150
BLAKE2b-256 03aaf6a77267d5e09978ef7a4ead8743f887e3f2ccdb34ec19b545eb6cb109c6

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.9.0-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: rapidfuzz-0.9.0-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 125.7 kB
  • Tags: CPython 3.5m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2

File hashes

Hashes for rapidfuzz-0.9.0-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 215fac15ae8ac46dbaf18f69c5dee5a602f9cb6fa1b68fe8575dd09b2db765b0
MD5 c9c06877220ae8c030020c7362f8e3a3
BLAKE2b-256 ed0c75fc0a100105ba2fa3552562a6f722889b4fdbd0c1781c6c3d014442dfa1

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.9.0-cp35-cp35m-win32.whl.

File metadata

  • Download URL: rapidfuzz-0.9.0-cp35-cp35m-win32.whl
  • Upload date:
  • Size: 82.8 kB
  • Tags: CPython 3.5m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2

File hashes

Hashes for rapidfuzz-0.9.0-cp35-cp35m-win32.whl
Algorithm Hash digest
SHA256 25495503cc31ede7a3cc64ad30d6297c6d91da79b91469ace7ddc4f970785fcd
MD5 4e11de735012eb3f20175243b896ecf0
BLAKE2b-256 8d15dc5edcb24ff9323d64bb9306398047641e4f3d046ab0b241b5cd59f3f3b8

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.9.0-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.9.0-cp35-cp35m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.5m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2

File hashes

Hashes for rapidfuzz-0.9.0-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 7c07b2a05278fcef081998fd2adf4c1623b80bd9888ba13a9e8b599ba75947b5
MD5 ee58e8f7ec3b7d74337f6d7489e27aed
BLAKE2b-256 cc30528049d0af03df0bb8221ea1332875a758dbd3c394b42ecd931f3dfccec7

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.9.0-cp35-cp35m-manylinux2010_i686.whl.

File metadata

  • Download URL: rapidfuzz-0.9.0-cp35-cp35m-manylinux2010_i686.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.5m, manylinux: glibc 2.12+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2

File hashes

Hashes for rapidfuzz-0.9.0-cp35-cp35m-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 e9ff6c3faf8f9febbac752cc6595bd0ebcfd7a9cd7ccf693bfbf3f72b16084a6
MD5 af187833e8211cbcfd457a5bbaaadbe2
BLAKE2b-256 5337b329ae2bf099bdbbb33aec2ca7f813625283c21f56ee7c23ed774ace9ac7

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.9.0-cp35-cp35m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.9.0-cp35-cp35m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 121.1 kB
  • Tags: CPython 3.5m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2

File hashes

Hashes for rapidfuzz-0.9.0-cp35-cp35m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 01362efc2b46b8dc4ac97d71f084d7d7e4ce490cc6c962019ddcd881544dcef9
MD5 d345685d5b39a37906c75356affbcc38
BLAKE2b-256 b39bdd1392da480a33f351381f73c46dde0b644c26d9b2b36ac6592ed027da9a

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