Skip to main content

rapid fuzzy string matching

Project description

RapidFuzz

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

Continous Integration PyPI package version Conda Version Python versions
Gitter chat Documentation GitHub license

DescriptionInstallationUsageLicense


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

Requirements

Installation

There are several ways to install RapidFuzz, the recommended methods are to either use pip(the Python package manager) or conda (an open-source, cross-platform, package manager)

with pip

RapidFuzz can be installed with pip the following way:

pip install rapidfuzz

There are pre-built binaries (wheels) of RapidFuzz for MacOS (10.9 and later), Linux x86_64 and Windows. Wheels for armv6l (Raspberry Pi Zero) and armv7l (Raspberry Pi) are available on piwheels.

:heavy_multiplication_x:   failure "ImportError: DLL load failed"

If you run into this error on Windows the reason is most likely, that the Visual C++ 2019 redistributable is not installed, which is required to find C++ Libraries (The C++ 2019 version includes the 2015, 2017 and 2019 version).

with conda

RapidFuzz can be installed with conda:

conda install -c conda-forge rapidfuzz

from git

RapidFuzz can be installed directly from the source distribution by cloning the repository. This requires a C++14 capable compiler.

git clone https://github.com/maxbachmann/rapidfuzz.git
cd rapidfuzz
pip install .

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


Release history Release notifications | RSS feed

Download files

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

Source Distribution

rapidfuzz-0.12.3.tar.gz (55.4 kB view details)

Uploaded Source

Built Distributions

rapidfuzz-0.12.3-pp37-pypy37_pp73-win32.whl (91.4 kB view details)

Uploaded PyPy Windows x86

rapidfuzz-0.12.3-pp37-pypy37_pp73-manylinux2010_x86_64.whl (174.1 kB view details)

Uploaded PyPy manylinux: glibc 2.12+ x86-64

rapidfuzz-0.12.3-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (141.8 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

rapidfuzz-0.12.3-pp36-pypy36_pp73-win32.whl (91.4 kB view details)

Uploaded PyPy Windows x86

rapidfuzz-0.12.3-pp36-pypy36_pp73-manylinux2010_x86_64.whl (174.1 kB view details)

Uploaded PyPy manylinux: glibc 2.12+ x86-64

rapidfuzz-0.12.3-pp36-pypy36_pp73-macosx_10_9_x86_64.whl (141.8 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

rapidfuzz-0.12.3-pp27-pypy_73-manylinux2010_x86_64.whl (126.7 kB view details)

Uploaded PyPy manylinux: glibc 2.12+ x86-64

rapidfuzz-0.12.3-pp27-pypy_73-macosx_10_9_x86_64.whl (92.9 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

rapidfuzz-0.12.3-cp39-cp39-win_amd64.whl (134.7 kB view details)

Uploaded CPython 3.9 Windows x86-64

rapidfuzz-0.12.3-cp39-cp39-win32.whl (91.3 kB view details)

Uploaded CPython 3.9 Windows x86

rapidfuzz-0.12.3-cp39-cp39-manylinux2010_x86_64.whl (2.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ x86-64

rapidfuzz-0.12.3-cp39-cp39-manylinux2010_i686.whl (2.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ i686

rapidfuzz-0.12.3-cp39-cp39-macosx_10_9_x86_64.whl (147.9 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

rapidfuzz-0.12.3-cp38-cp38-win_amd64.whl (134.7 kB view details)

Uploaded CPython 3.8 Windows x86-64

rapidfuzz-0.12.3-cp38-cp38-win32.whl (91.3 kB view details)

Uploaded CPython 3.8 Windows x86

rapidfuzz-0.12.3-cp38-cp38-manylinux2010_x86_64.whl (2.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

rapidfuzz-0.12.3-cp38-cp38-manylinux2010_i686.whl (2.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ i686

rapidfuzz-0.12.3-cp38-cp38-macosx_10_9_x86_64.whl (147.9 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

rapidfuzz-0.12.3-cp37-cp37m-win_amd64.whl (134.6 kB view details)

Uploaded CPython 3.7m Windows x86-64

rapidfuzz-0.12.3-cp37-cp37m-win32.whl (91.3 kB view details)

Uploaded CPython 3.7m Windows x86

rapidfuzz-0.12.3-cp37-cp37m-manylinux2010_x86_64.whl (2.7 MB view details)

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

rapidfuzz-0.12.3-cp37-cp37m-manylinux2010_i686.whl (2.7 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ i686

rapidfuzz-0.12.3-cp37-cp37m-macosx_10_9_x86_64.whl (147.9 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

rapidfuzz-0.12.3-cp36-cp36m-win_amd64.whl (134.6 kB view details)

Uploaded CPython 3.6m Windows x86-64

rapidfuzz-0.12.3-cp36-cp36m-win32.whl (91.3 kB view details)

Uploaded CPython 3.6m Windows x86

rapidfuzz-0.12.3-cp36-cp36m-manylinux2010_x86_64.whl (2.7 MB view details)

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

rapidfuzz-0.12.3-cp36-cp36m-manylinux2010_i686.whl (2.7 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.12+ i686

rapidfuzz-0.12.3-cp36-cp36m-macosx_10_9_x86_64.whl (147.9 kB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

rapidfuzz-0.12.3-cp35-cp35m-win_amd64.whl (134.6 kB view details)

Uploaded CPython 3.5m Windows x86-64

rapidfuzz-0.12.3-cp35-cp35m-win32.whl (91.3 kB view details)

Uploaded CPython 3.5m Windows x86

rapidfuzz-0.12.3-cp35-cp35m-manylinux2010_x86_64.whl (2.7 MB view details)

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

rapidfuzz-0.12.3-cp35-cp35m-manylinux2010_i686.whl (2.7 MB view details)

Uploaded CPython 3.5m manylinux: glibc 2.12+ i686

rapidfuzz-0.12.3-cp35-cp35m-macosx_10_9_x86_64.whl (142.4 kB view details)

Uploaded CPython 3.5m macOS 10.9+ x86-64

rapidfuzz-0.12.3-cp27-cp27mu-manylinux2010_x86_64.whl (1.6 MB view details)

Uploaded CPython 2.7mu manylinux: glibc 2.12+ x86-64

rapidfuzz-0.12.3-cp27-cp27mu-manylinux2010_i686.whl (1.5 MB view details)

Uploaded CPython 2.7mu manylinux: glibc 2.12+ i686

rapidfuzz-0.12.3-cp27-cp27m-manylinux2010_x86_64.whl (1.6 MB view details)

Uploaded CPython 2.7m manylinux: glibc 2.12+ x86-64

rapidfuzz-0.12.3-cp27-cp27m-manylinux2010_i686.whl (1.5 MB view details)

Uploaded CPython 2.7m manylinux: glibc 2.12+ i686

rapidfuzz-0.12.3-cp27-cp27m-macosx_10_9_x86_64.whl (95.5 kB view details)

Uploaded CPython 2.7m macOS 10.9+ x86-64

File details

Details for the file rapidfuzz-0.12.3.tar.gz.

File metadata

  • Download URL: rapidfuzz-0.12.3.tar.gz
  • Upload date:
  • Size: 55.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3.tar.gz
Algorithm Hash digest
SHA256 4c181212546cdaa8dada02dbb4212c7ea9a04ba31237b2024be3c76af7e01d08
MD5 6a4ca1d3f6e0e3423875dd019ad06e5d
BLAKE2b-256 023d4aeee67ac27c56280eaa80b214d550a64fcb25b86b69d705bcd8225b5662

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-pp37-pypy37_pp73-win32.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-pp37-pypy37_pp73-win32.whl
  • Upload date:
  • Size: 91.4 kB
  • Tags: PyPy, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-pp37-pypy37_pp73-win32.whl
Algorithm Hash digest
SHA256 c22ead045f8bebe705ba3803798608a10100d7b899f584181f3bf9c33303dc9c
MD5 842e02f54e9118a10458e95dd0ade00d
BLAKE2b-256 ecd0355003d6adc91393e459be45c735314d79525ed2ddae9aa9d014acb2176e

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-pp37-pypy37_pp73-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-pp37-pypy37_pp73-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 174.1 kB
  • Tags: PyPy, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-pp37-pypy37_pp73-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 633922cd888dae10c619213bbcb5d344e8931b94bb9ed6c5c059a0f528baa622
MD5 90de21cf4bf8bd054df834ae3cef2b9f
BLAKE2b-256 6bdbe1c34f4c0f1e3f16396e693cc0a0f7637bbce2e0a4a70cad1b801eacff6f

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-pp37-pypy37_pp73-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 141.8 kB
  • Tags: PyPy, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 780b73037dd041f75c335f079de41cef473fb4e3c730e9e837952d1db74d672d
MD5 9bbaac94c213551797705408bedcb3bc
BLAKE2b-256 6fb08d3345213a1f7b33b6094a95f508cc4b04285039c7d871282378916d8d7c

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-pp36-pypy36_pp73-win32.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-pp36-pypy36_pp73-win32.whl
  • Upload date:
  • Size: 91.4 kB
  • Tags: PyPy, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-pp36-pypy36_pp73-win32.whl
Algorithm Hash digest
SHA256 b5c73e221a5bf3dfca6fca5d9822fd52fa9759362cbcb1d55913b1ad54f9be92
MD5 f4b938cc2224711335ec8ab19f636b1f
BLAKE2b-256 a93b2070507847e4381a4e065bb1ce9dedc6db3e32412e59982e356c1f91f6a0

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-pp36-pypy36_pp73-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-pp36-pypy36_pp73-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 174.1 kB
  • Tags: PyPy, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-pp36-pypy36_pp73-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 79cf95ba95c76155b3c7bd89fb24d7975824e85bf8e9f8664332f0c222cdf1e2
MD5 f250f9dbdcd6387d1fa8eb309ab3de91
BLAKE2b-256 159eb7a840c71525b4ae7ea7193396e71c0db88326abe7f32ac33bd386c41005

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-pp36-pypy36_pp73-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-pp36-pypy36_pp73-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 141.8 kB
  • Tags: PyPy, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-pp36-pypy36_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 0e76c30225b76a1470d35b8a4180387c4df26e65514dc8b7e19bf69534daa81f
MD5 ad488217e101daa64b5eacf4b2bbee5a
BLAKE2b-256 f62a61611d5cafcd8956d124c11aaf0cef2e8b096a6657f382a8bb4bcca9a32c

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-pp27-pypy_73-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-pp27-pypy_73-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 126.7 kB
  • Tags: PyPy, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-pp27-pypy_73-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 6ecee0031f0d2f020860ef6230ebc95bb629dd3b523a728d8acc49cf7255bd9f
MD5 9fd9b430c5bb7440ef82288c2d6fecfa
BLAKE2b-256 da757dc3b8ddf911facb5a452d258fbacf271d85cae05a8f0e3b2d4c432f8f71

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-pp27-pypy_73-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-pp27-pypy_73-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 92.9 kB
  • Tags: PyPy, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-pp27-pypy_73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 aa9ff7e177d07df459d2716ab73049db356c68928c9a97dcdfbd7e144f53f12c
MD5 f3ef1b81f3b1fdeab8ed5c3ab483f1b5
BLAKE2b-256 32c516b63e1204b3114039bada6520b78631703f9e936124c20d619fe07f4960

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 134.7 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 a527ed187ee62a5eb6ffe26c6d23c6cb3981e245fa5f852032682e7cb09815fd
MD5 1761192889c8534be5c3eb2b108d7104
BLAKE2b-256 e386b66e5eb86e5ea098223f068e3615de38d4c465023fb5212c121bed0e6195

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp39-cp39-win32.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp39-cp39-win32.whl
  • Upload date:
  • Size: 91.3 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 5c4bc39748df8c0060118a410bb9e7b10ed26ff2f2b58da03ceba19ef570cd32
MD5 f9990110e19bc7f007a094fd8c019aba
BLAKE2b-256 f385871104af2b6ee8a767b9da9fca11f9697d992520fb54331e5f117d3161f1

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp39-cp39-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp39-cp39-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: CPython 3.9, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp39-cp39-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 2e5326ee35180156241118b426381e5653344099a799397d71f8222dfeb2aa09
MD5 ef0b4defcf44685758d01947210c647d
BLAKE2b-256 7c15f07a4b7dc3bc78c2b3e907f6058b92dba909443d60f7e86e5be3528d6323

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp39-cp39-manylinux2010_i686.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp39-cp39-manylinux2010_i686.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: CPython 3.9, manylinux: glibc 2.12+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp39-cp39-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 439d8d730d494ba87a1f60dd10efca792d05543344d5615274ebf64c081795c8
MD5 1a71e0f69f609a885582aadbb05732fb
BLAKE2b-256 d833aa8c2f3448fd3ff5a787826a07ec6dc7af1168259108bbbb8485a655d066

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp39-cp39-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 147.9 kB
  • Tags: CPython 3.9, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b501e4f234a526319f48b4d8922263014ebcdd421b8b099ee429b611308a410a
MD5 f6c0b0e255b06a80d59530b868ca9663
BLAKE2b-256 b8f1d9fe1f79240e9fc1630c3c0c5193ffe0ded28b9e458e78e67b5b5fb97656

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 134.7 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 8937c860409bd1921eecf1d04c62f8c5cec241cb188c4bfc54d9a63dd5554ac7
MD5 3f8938247d2bee3c500d96223f78b289
BLAKE2b-256 150c8d0134b03019cda9975defe9801ac1760bae998301cdd8b2bf8be2a7cb7a

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp38-cp38-win32.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp38-cp38-win32.whl
  • Upload date:
  • Size: 91.3 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 bfc99f5420c0a4a5a5f7bf1af6cae0fe25ef7d0df1a2f219b69eb7165b881583
MD5 205641c889ef3d3247a8f42d0478a00d
BLAKE2b-256 970ec07820f2d8f5b22928cfc521acfce0598329e9e85d844f24f50fb7bd3484

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp38-cp38-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: CPython 3.8, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 f65ae5cd982134f57b657958675d718744132011812d1b9cd25b7b6b1b4078cb
MD5 68f47622ea176466f516883c6c0e5d03
BLAKE2b-256 2e106ba11b576254035982b52fde2dade60b64ed68b3a973706d05bd7523cc08

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp38-cp38-manylinux2010_i686.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp38-cp38-manylinux2010_i686.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: CPython 3.8, manylinux: glibc 2.12+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp38-cp38-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 015db2e8dd2cc274a8edee36c509643e8fbff355d963f016543cd7cd222627f7
MD5 526cb2c95cfa6fb35d4e55d83de2116c
BLAKE2b-256 c2dee0e7bea8f308529c017e62386187c190e7791e072b5819febc3fadf0f31c

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 147.9 kB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 d1baf24537dfe9d29603f59a28ccd549ad98577a6e7d7c98eaa384ae229bbd72
MD5 b7076edd272993d6c85ae882d4e4a8c4
BLAKE2b-256 802e9e3a63a5f4be90b77899a19e4553492ceaf7bea7e13f289f88fbf0d7de63

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 134.6 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 058dbb7d0ce01416af533ca5b3d9d04fa34688b3f39a5341c0359f3b677d9657
MD5 2cb0404639320acd3bae236b34755fbf
BLAKE2b-256 acc15ba1f0c7ef7ed4f0c33923801456993447803070b3ee691d893d77cd8db7

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp37-cp37m-win32.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 91.3 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 e012645a04528be820eb180c649bd278ee959155ca4fbbc9fd584394407b8555
MD5 e6808539d242bc63329ecd9a4ed6b5ae
BLAKE2b-256 2d994c5b4b83a4bcb32ddb6e2fa36d0d5b03316d50ea41eff552380f2fa19d71

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp37-cp37m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 13cb0ec5078967c2cc1ebc71ee09e4de7d8902f9e3acf4739a40093b94c45b07
MD5 78379568f3153515fa1a581b957ad2eb
BLAKE2b-256 dad40d9792f4bf35c77e9f961677ca27ecc2751d47a5462331adf366b340733d

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp37-cp37m-manylinux2010_i686.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp37-cp37m-manylinux2010_i686.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.12+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp37-cp37m-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 a5ca3b33ef0563e56e22c92fe3d35580f016dc3952709256e8612f029d7e1125
MD5 7d1ea04efff0c694faf9417080686f9b
BLAKE2b-256 3f04d2e1df0f3996ada0743ac7f40a56e5aa8b25f25d7eb68cdc5141e6823b62

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 147.9 kB
  • Tags: CPython 3.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 26694c4e338b96bf5952ebc0672078fd8b4fda8ba150c460e7426924348281b9
MD5 62754421f77a8b20789938059a3477c7
BLAKE2b-256 a43064c035c5fb46894539f53b112b486da329c7985392455b7735bb7e1c565e

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 134.6 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 a1557051b5b3c392888a9c9091b562a04914b7656b6012c5d5f8e10cd30beba4
MD5 4ce3e61085f32b78797ce88799e26ae7
BLAKE2b-256 462f570632d4bb94ae6191143c1b633447ce995ee9e3d154644593bc179918fe

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp36-cp36m-win32.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 91.3 kB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 6b78d2accfc2fa552b35050a8dbcb951a457e7b7cb2788d60eda119dfe1fb632
MD5 b9d91f5980b5b7afb5a99141fe48efb0
BLAKE2b-256 e846b66b6a341b21330c40d881e9a9db40d7971e6ffe26498bed2ce5d2b86e67

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp36-cp36m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: CPython 3.6m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 36e3b7db26a756922b6bc01b153fe12d4e3483e01d6f86c2c7d017ad221168bb
MD5 be485ded96d388adcfbdcb249707f5e8
BLAKE2b-256 3f0bdcdfd318a9a78a4ca72dc7c0d103d48247cdf727ae771cdcd07828033c1a

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp36-cp36m-manylinux2010_i686.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp36-cp36m-manylinux2010_i686.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: CPython 3.6m, manylinux: glibc 2.12+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp36-cp36m-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 0d8186ca49c2ffa170f38912c41794e51599d09b9cdb6ee96b9850d0a7db2243
MD5 1bbd56c82b11a4c3c5f5a314b5ae53ec
BLAKE2b-256 befe8cdefd1339081fc287986df655737e11e288a35a0e9ccf444f039a16c221

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp36-cp36m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 147.9 kB
  • Tags: CPython 3.6m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 943b153d965969f832e0df8b2aa62f4fbac0e1daacac3d114232a2ecaa218cb1
MD5 db0b5f9bf3daffa2fcb0e63c4b17e7ed
BLAKE2b-256 44bc57864606873292ea57a660e2471cbb2ab9ec8baabc05f087ec45e91f039c

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 134.6 kB
  • Tags: CPython 3.5m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 5933307f2191861cf235a796dbe2ef49d9d8a30c1bbb07c697c60f38e07eb94d
MD5 90b417ce9354054ac719610c593ab28b
BLAKE2b-256 1e1c1ae4edcb81540225e08dc8fd75a4b193d51d689ec6d86c04126edd2843e3

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp35-cp35m-win32.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp35-cp35m-win32.whl
  • Upload date:
  • Size: 91.3 kB
  • Tags: CPython 3.5m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp35-cp35m-win32.whl
Algorithm Hash digest
SHA256 605bc833010c1562820d9d837db5573f94ba001889ffb99a83cfcc17a8b9c17d
MD5 63c5fb11991ae27b617e5c1356a684ae
BLAKE2b-256 439bcd01eb224e273286300bab63c371aac860c79421bb46ae48d42d1158ba94

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp35-cp35m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: CPython 3.5m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 c6b2b462b25c0cf4b04f978b711f06a2fcc1630b3344ca65d2b43a7998929004
MD5 3d2a1b4bae7348eb1de4ffe690c3d889
BLAKE2b-256 77e5ba6cb4a468ae922f5b3d9618704efbd5c7c40b6d98543924d7ad0ae87d2a

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp35-cp35m-manylinux2010_i686.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp35-cp35m-manylinux2010_i686.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: CPython 3.5m, manylinux: glibc 2.12+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp35-cp35m-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 4d1724898b931f87e844b591da206d5144ca2904900c409c063c7c225b5ee754
MD5 ca3f3b33e86555a20ad2e2ac20aa0ce3
BLAKE2b-256 c214262d32309e5388b3b4bd3faf3ddf7711bfbf2f81de5758c8bc34752e0d61

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp35-cp35m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp35-cp35m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 142.4 kB
  • Tags: CPython 3.5m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp35-cp35m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 c6a963759df7be48b0c562aa9a0be13a99c378559bbf15da49aa8186f7bb7f83
MD5 dbcbe7b79ec547c11f5712d01bb35c7a
BLAKE2b-256 831c744789a42fe19ce602b0a1bf6ff064cb1b738fd57cf1630843a2fd75667d

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp27-cp27mu-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp27-cp27mu-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: CPython 2.7mu, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp27-cp27mu-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 80a2ae605dc1d0b4c68b3027847ede1acf51794fb9d79c7c6f4751d5e9464ac5
MD5 0c22f363de28b99156daf9083cf581a0
BLAKE2b-256 d3895869de5a742704fbf04768ac12ec206a71ce9b9b35556410e21db8a3519a

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp27-cp27mu-manylinux2010_i686.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp27-cp27mu-manylinux2010_i686.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: CPython 2.7mu, manylinux: glibc 2.12+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp27-cp27mu-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 d9cb7a54dc8980dbd475f3fdf44e42748a1d0c2fdeb8898a57ac9c05440c1f73
MD5 7e0aeff23d6fdce61cd3ad78168eb389
BLAKE2b-256 84c6b56161d7734c8c9e5b04eb1314a7f578c256b6d7acc731a12cddabb7120e

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp27-cp27m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp27-cp27m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: CPython 2.7m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp27-cp27m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 a2ecc7bd85e199353dc245e1db0c4901ae08736a40bec429bf5ca1c79712c6fd
MD5 513695f82d66a7a0946aa62de98f21aa
BLAKE2b-256 1bbdf88dcb5512cfa8d2ad22b490b4ac728e75a55759533ede40de869cfcaa32

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp27-cp27m-manylinux2010_i686.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp27-cp27m-manylinux2010_i686.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: CPython 2.7m, manylinux: glibc 2.12+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp27-cp27m-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 9c611c4d2c65ba916104166384e144381a4cd7624f9559d0e398ff7d3f95431c
MD5 3986bd07f7f83b3f6f9927cec59dec0d
BLAKE2b-256 70bece1df673d3ccddad1d0a97f6e01c09bb0c51af1c4da5d69ed5e8551fa93c

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.12.3-cp27-cp27m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.12.3-cp27-cp27m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 95.5 kB
  • Tags: CPython 2.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for rapidfuzz-0.12.3-cp27-cp27m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 4b751b4d7e8334c55f4440c1239ee023993612aeee1b6feeceb8449dd614a102
MD5 1db452246b18fdd34a65882102ab6743
BLAKE2b-256 4974a4424d105c80cafc6e864168fa70faef1174d8e2a4d7c14b17e9d12e1adf

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