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 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

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


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-0.8.1.tar.gz (371.6 kB view details)

Uploaded Source

Built Distributions

rapidfuzz-0.8.1-pp36-pypy36_pp73-win32.whl (51.1 kB view details)

Uploaded PyPy Windows x86

rapidfuzz-0.8.1-pp36-pypy36_pp73-manylinux2010_x86_64.whl (85.5 kB view details)

Uploaded PyPy manylinux: glibc 2.12+ x86-64

rapidfuzz-0.8.1-pp36-pypy36_pp73-macosx_10_9_x86_64.whl (52.6 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

rapidfuzz-0.8.1-cp38-cp38-win_amd64.whl (59.0 kB view details)

Uploaded CPython 3.8 Windows x86-64

rapidfuzz-0.8.1-cp38-cp38-win32.whl (50.9 kB view details)

Uploaded CPython 3.8 Windows x86

rapidfuzz-0.8.1-cp38-cp38-manylinux2010_x86_64.whl (657.6 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

rapidfuzz-0.8.1-cp38-cp38-manylinux2010_i686.whl (688.9 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ i686

rapidfuzz-0.8.1-cp38-cp38-macosx_10_9_x86_64.whl (55.5 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

rapidfuzz-0.8.1-cp37-cp37m-win_amd64.whl (59.0 kB view details)

Uploaded CPython 3.7m Windows x86-64

rapidfuzz-0.8.1-cp37-cp37m-win32.whl (50.8 kB view details)

Uploaded CPython 3.7m Windows x86

rapidfuzz-0.8.1-cp37-cp37m-manylinux2010_x86_64.whl (660.9 kB view details)

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

rapidfuzz-0.8.1-cp37-cp37m-manylinux2010_i686.whl (692.2 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ i686

rapidfuzz-0.8.1-cp37-cp37m-macosx_10_9_x86_64.whl (55.5 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

rapidfuzz-0.8.1-cp36-cp36m-win_amd64.whl (59.0 kB view details)

Uploaded CPython 3.6m Windows x86-64

rapidfuzz-0.8.1-cp36-cp36m-win32.whl (50.8 kB view details)

Uploaded CPython 3.6m Windows x86

rapidfuzz-0.8.1-cp36-cp36m-manylinux2010_x86_64.whl (658.1 kB view details)

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

rapidfuzz-0.8.1-cp36-cp36m-manylinux2010_i686.whl (689.3 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.12+ i686

rapidfuzz-0.8.1-cp36-cp36m-macosx_10_9_x86_64.whl (55.5 kB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

rapidfuzz-0.8.1-cp35-cp35m-win_amd64.whl (59.0 kB view details)

Uploaded CPython 3.5m Windows x86-64

rapidfuzz-0.8.1-cp35-cp35m-win32.whl (50.8 kB view details)

Uploaded CPython 3.5m Windows x86

rapidfuzz-0.8.1-cp35-cp35m-manylinux2010_x86_64.whl (657.3 kB view details)

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

rapidfuzz-0.8.1-cp35-cp35m-manylinux2010_i686.whl (688.4 kB view details)

Uploaded CPython 3.5m manylinux: glibc 2.12+ i686

rapidfuzz-0.8.1-cp35-cp35m-macosx_10_9_x86_64.whl (54.2 kB view details)

Uploaded CPython 3.5m macOS 10.9+ x86-64

File details

Details for the file rapidfuzz-0.8.1.tar.gz.

File metadata

  • Download URL: rapidfuzz-0.8.1.tar.gz
  • Upload date:
  • Size: 371.6 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-0.8.1.tar.gz
Algorithm Hash digest
SHA256 20529c5bd59b1aa9ba5b8b96891a8fdaf529124331a76a3c4790a35b340fee85
MD5 0d0beff5bb4b8d2097017a4a1a8a12f4
BLAKE2b-256 64168c9455b9fd74df0bc8ae0b54907448b5ba5aacb6933285ff073144eb6f00

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.8.1-pp36-pypy36_pp73-win32.whl.

File metadata

  • Download URL: rapidfuzz-0.8.1-pp36-pypy36_pp73-win32.whl
  • Upload date:
  • Size: 51.1 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-0.8.1-pp36-pypy36_pp73-win32.whl
Algorithm Hash digest
SHA256 aab4c5cd33b44e7417e531e399bd0f3367828fee4a80c5eb1f6a7e74082934d4
MD5 60607231bf00b1e3730a6811ad199f36
BLAKE2b-256 49ad493aa7355e4f7ca88bff8c9099221821f5eedfebb372507247834f886cfc

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.8.1-pp36-pypy36_pp73-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.8.1-pp36-pypy36_pp73-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 85.5 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-0.8.1-pp36-pypy36_pp73-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 f0bc228b35be6a385fcaed877df6754ed44bef0cc8e451b42dac325c08c4011a
MD5 265655d8664c68086318790884bcc0df
BLAKE2b-256 70ce2d397a2aa024933d389829041af30a4f818115534de61a3411073cc1e68d

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.8.1-pp36-pypy36_pp73-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.8.1-pp36-pypy36_pp73-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 52.6 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-0.8.1-pp36-pypy36_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 c5b9369d042ddefd11cab9b915d89fabf13680ae435428ac7bcf560f4c0e28f7
MD5 d425d74012c7b6d152a890fad83847d1
BLAKE2b-256 c7f120a31b3669bb11c2e1f8d8d85db473ba3e18757431d965361c7f6986e33e

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.8.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: rapidfuzz-0.8.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 59.0 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-0.8.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 68bb0ba9de334915222304ffe24f10fc0733fd507a5e1f830a0566cea90b84aa
MD5 54796223b68c7be6c6da0066b7f4e9df
BLAKE2b-256 8fb94874f07a04c861f97023a0465884a1abaa9be8c41de579ff431251e0c9b6

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.8.1-cp38-cp38-win32.whl.

File metadata

  • Download URL: rapidfuzz-0.8.1-cp38-cp38-win32.whl
  • Upload date:
  • Size: 50.9 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-0.8.1-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 b3532492485fd40a82377914e12d6a3023f0890c5dc32869d3b576ed7c3c6fe9
MD5 ad16c3289b6ee0b4ec9d3bb1e431ff43
BLAKE2b-256 2f2df111a96e09bad9e2bb9d22be3e0ed016dab3eb433b6030f14d9b588d93fa

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.8.1-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.8.1-cp38-cp38-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 657.6 kB
  • 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-0.8.1-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 2c5ed5900d178bec70ab22c74fc12f20075cb649e94f282dbf3e4eda76995b52
MD5 d331eb036788224476464af00bdd045f
BLAKE2b-256 30693354ed2423beee2b96abb4af32784ce6e1b47e00e2211895f59f023458a6

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.8.1-cp38-cp38-manylinux2010_i686.whl.

File metadata

  • Download URL: rapidfuzz-0.8.1-cp38-cp38-manylinux2010_i686.whl
  • Upload date:
  • Size: 688.9 kB
  • 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-0.8.1-cp38-cp38-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 4a3b530bae7696eb1654a53e193b744489800c9702b7aee085722230c04925b9
MD5 a3502b8fe63901e1164f6933c6d504e3
BLAKE2b-256 80dd1dc58883500840fcfbc6283ef2c2d26bfd65acc3d9e9931628e345a9d4ed

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.8.1-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.8.1-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 55.5 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-0.8.1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 ed1ee18c37c26dfcd256d4b8aa7b2673aaded82a48cb38d88f6a276fcf94acd5
MD5 ec98984e2ce4e80994e5d0d90da2d789
BLAKE2b-256 202d61c33a8b5df6170f4d3e6cc4c1cd5b2c409e5d787b0d17c69cc864a99bfe

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.8.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: rapidfuzz-0.8.1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 59.0 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-0.8.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 e29406d35a51d483e8e7233b9f6280258d8b05e859884836df4897b1176e22ef
MD5 e8b1c2ff44575c2288a8fd8a76c39b3c
BLAKE2b-256 04fd2ac52bbe8554953184d782de3796c5283eb57ad9c2e4c5777ee7f5f3b580

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.8.1-cp37-cp37m-win32.whl.

File metadata

  • Download URL: rapidfuzz-0.8.1-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 50.8 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-0.8.1-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 7a08686c4f5bf9d4f2e6c1a51bac4659942111cafc5da5c7e8b5a63fab1de674
MD5 1c7f33d8abcf1ce6736d3ca47862c365
BLAKE2b-256 f46103371880f18d7d0b79163cf5d98136c53131ccfd19380249253d63f45461

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.8.1-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.8.1-cp37-cp37m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 660.9 kB
  • 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-0.8.1-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 1cf3689f26aa61adc5ce2b5a28bce09a6de912791f8c3a99ff716d9088b69cab
MD5 06f6024daf9c15365ddf9aa4bbf1ea2c
BLAKE2b-256 24444b0324125f371fcd3d1d9bfe41602181a9782a1f7b1a0638b33a4ba7e35d

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.8.1-cp37-cp37m-manylinux2010_i686.whl.

File metadata

  • Download URL: rapidfuzz-0.8.1-cp37-cp37m-manylinux2010_i686.whl
  • Upload date:
  • Size: 692.2 kB
  • 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-0.8.1-cp37-cp37m-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 079b948b0cd43a11c6b299786ee11458db6f957f5c6555a4e6d0bad913c4df0d
MD5 a3dd836e207fdb9f4682ceff96bd5e5d
BLAKE2b-256 b113800900c2a2aa42ddc58b7812a75e58c351f1b17b79c3d66052f3797bbb0f

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.8.1-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.8.1-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 55.5 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-0.8.1-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 6e618a30099f1fd17db21e9d2e4cc1fc46d0c3a58bc1ffdd3e9f0d0176cbeedb
MD5 9131a53bab6c5de3f1f590aee105cd2d
BLAKE2b-256 258885fa805ad21d322a42a1904c6826502be29eb65eab55059821d480150ff4

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.8.1-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: rapidfuzz-0.8.1-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 59.0 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-0.8.1-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 8974c198f59dca8095a5bd136c801c7937e704e9354c89961c936e75b0a36337
MD5 3d411cdc37f143fd1ad9c78a6bcd55c8
BLAKE2b-256 037d34f6f8222f822594510c200c8c8f5d295ec5bdcfefc1a455a8a9af7f6962

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.8.1-cp36-cp36m-win32.whl.

File metadata

  • Download URL: rapidfuzz-0.8.1-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 50.8 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-0.8.1-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 6a48e8e0355999d1e1d129d2927c9fc4daf24fbe83876607d8e8ba669bc5e464
MD5 9c3151dadb5857acb9236a63bf144db5
BLAKE2b-256 b4941cce5da8bf2af01d91f5278d8f5bc878c164875976da687a83d82608f6f3

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.8.1-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.8.1-cp36-cp36m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 658.1 kB
  • 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-0.8.1-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 e955729b4383e4ef1e3f43dafb7c0d5a8210a8670eb76a508faed65d00d195df
MD5 ad943f203e26222bae40e0acd18eaf99
BLAKE2b-256 9cd24cb66353fd99f6b800277a652bed0f7cd7f31a5cd371e946b79bd49f3b80

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.8.1-cp36-cp36m-manylinux2010_i686.whl.

File metadata

  • Download URL: rapidfuzz-0.8.1-cp36-cp36m-manylinux2010_i686.whl
  • Upload date:
  • Size: 689.3 kB
  • 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-0.8.1-cp36-cp36m-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 dd4d1ce212e5d83f73318f2743468d07b8235207e363c1744571a075d8fa70da
MD5 245a88723df16a6aa9ab6ef5a4721ecf
BLAKE2b-256 f557adc25b829f596f1a183da4d17a955e7f242c2fd6e2f5f8b69b01072ce13a

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.8.1-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.8.1-cp36-cp36m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 55.5 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-0.8.1-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 617c3f3fbb7042e7f319cc923fd5d155bcae38b5456cc8e7fcda986c56a739e7
MD5 35fefadf89fbb7b76ce027943f84a5b4
BLAKE2b-256 50b112076e065909109daf7d26896dc0b49eb331457f8faab53e99ca43e1c828

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.8.1-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: rapidfuzz-0.8.1-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 59.0 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-0.8.1-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 6810f5410b64980aba1aab08fb31086377f8a2180991603002620b4bb58da3c0
MD5 662bd013eb89c24e8e7199529ccb4744
BLAKE2b-256 de5c2419b526abf007166b34fec91a4a741eade08ff4b8d4a26cf754c9f1e4c2

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.8.1-cp35-cp35m-win32.whl.

File metadata

  • Download URL: rapidfuzz-0.8.1-cp35-cp35m-win32.whl
  • Upload date:
  • Size: 50.8 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-0.8.1-cp35-cp35m-win32.whl
Algorithm Hash digest
SHA256 3e087f76d988fbb9c46714dcccb6e641da8465b52e7f28b754dbb6597c07df0f
MD5 5478765f42ac84c607609e68fe63b939
BLAKE2b-256 0da85242c411055440125d6fbd8a90cc39970917418c73daac4b93be8f80d3a5

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.8.1-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.8.1-cp35-cp35m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 657.3 kB
  • 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-0.8.1-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 1c2bd4c7b22271c6fbb71cc5183c3b714fe704efa4816ce6ed36c1bcac924e2b
MD5 5161923588fea15430c23cbf60adea57
BLAKE2b-256 2ef24109bb4faee36083ccb8489e5be7c3f446c83170405d2863e39390a37760

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.8.1-cp35-cp35m-manylinux2010_i686.whl.

File metadata

  • Download URL: rapidfuzz-0.8.1-cp35-cp35m-manylinux2010_i686.whl
  • Upload date:
  • Size: 688.4 kB
  • 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-0.8.1-cp35-cp35m-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 24bd701ec03bd9a7cf2c116219d269c6d4dd2a9cd36fe46e5fafa76f4c8d4dfa
MD5 49561971029685bdb0ed3178300b1c19
BLAKE2b-256 26fa936f869516a728021aab03c0758ee88bf221a0f61c3ed32bee924c4fed0f

See more details on using hashes here.

File details

Details for the file rapidfuzz-0.8.1-cp35-cp35m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-0.8.1-cp35-cp35m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 54.2 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-0.8.1-cp35-cp35m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 1ee07adab3fb17aa48384a7ed9465511856eb391a8be05d5ff28bd9e1a2c2b82
MD5 6a13e5a7c9677deef18b821e8bdd97ea
BLAKE2b-256 de3fbffd9296c67802ceaa16e6f9f990273d7744c453b8c907f13ab3fbed924d

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