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 (MIT)
  • Author: Max Bachmann
  • Requires: Python >=3.6
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
Documentation 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 a couple of 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 provides many string_metrics like hamming or jaro_winkler, which are not included in FuzzyWuzzy
  3. 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. For detailed benchmarks check the documentation
  4. Fixes multiple bugs in the partial_ratio implementation

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

Usage

Some simple functions are shown below. A complete documentation of all functions can be found here.

Scorers

Scorers in RapidFuzz can be found in the modules fuzz and string_metric.

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

The process module makes it compare strings to lists of strings. This is generally more performant than using the scorers directly from Python. Here are some examples on the usage of processors in RapidFuzz:

> from rapidfuzz import process, fuzz
> choices = ["Atlanta Falcons", "New York Jets", "New York Giants", "Dallas Cowboys"]
> process.extract("new york jets", choices, scorer=fuzz.WRatio, limit=2)
[('New York Jets', 100, 1), ('New York Giants', 78.57142639160156, 2)]
> process.extractOne("cowboys", choices, scorer=fuzz.WRatio)
("Dallas Cowboys", 90, 3)

The full documentation of processors can be found here

Benchmark

The following benchmark gives a quick performance comparision between RapidFuzz and FuzzyWuzzy. More detailed benchmarks for the string metrics can be found in the documentation. For this simple comparision I generated a list of 10.000 strings with length 10, that is compared to a sample of 100 elements from this list:

words = [
  ''.join(random.choice(string.ascii_letters + string.digits) for _ in range(10))
  for _ in range(10_000)
]
samples = words[::len(words) // 100]

The first benchmark compares the performance of the scorers in FuzzyWuzzy and RapidFuzz when they are used directly from Python in the following way:

for sample in samples:
  for word in words:
    scorer(sample, word)

The following graph shows how many elements are processed per second with each of the scorers. There are big performance differences between the different scorers. However each of the scorers is faster in RapidFuzz

Benchmark Scorer

The second benchmark compares the performance when the scorers are used in combination with extractOne in the following way:

for sample in samples:
  extractOne(sample, word, scorer=scorer)

The following graph shows how many elements are processed per second with each of the scorers. In RapidFuzz the usage of scorers through processors like extractOne is a lot faster than directly using it. Thats why they should be used whenever possible.

Benchmark extractOne

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 (MIT)
  • Author: Max Bachmann
  • Requires: Python >=3.6
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

This version

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

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-2.0.6.tar.gz (921.2 kB view details)

Uploaded Source

Built Distributions

rapidfuzz-2.0.6-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

rapidfuzz-2.0.6-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (2.3 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

rapidfuzz-2.0.6-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.5 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

rapidfuzz-2.0.6-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

rapidfuzz-2.0.6-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (2.3 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

rapidfuzz-2.0.6-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.5 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

rapidfuzz-2.0.6-cp310-cp310-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.10 Windows x86-64

rapidfuzz-2.0.6-cp310-cp310-win32.whl (1.1 MB view details)

Uploaded CPython 3.10 Windows x86

rapidfuzz-2.0.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

rapidfuzz-2.0.6-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (2.4 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

rapidfuzz-2.0.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

rapidfuzz-2.0.6-cp310-cp310-macosx_11_0_arm64.whl (1.2 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

rapidfuzz-2.0.6-cp310-cp310-macosx_10_9_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

rapidfuzz-2.0.6-cp310-cp310-macosx_10_9_universal2.whl (2.6 MB view details)

Uploaded CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64)

rapidfuzz-2.0.6-cp39-cp39-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.9 Windows x86-64

rapidfuzz-2.0.6-cp39-cp39-win32.whl (1.1 MB view details)

Uploaded CPython 3.9 Windows x86

rapidfuzz-2.0.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

rapidfuzz-2.0.6-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (2.4 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

rapidfuzz-2.0.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

rapidfuzz-2.0.6-cp39-cp39-macosx_11_0_arm64.whl (1.2 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

rapidfuzz-2.0.6-cp39-cp39-macosx_10_9_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

rapidfuzz-2.0.6-cp39-cp39-macosx_10_9_universal2.whl (2.6 MB view details)

Uploaded CPython 3.9 macOS 10.9+ universal2 (ARM64, x86-64)

rapidfuzz-2.0.6-cp38-cp38-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.8 Windows x86-64

rapidfuzz-2.0.6-cp38-cp38-win32.whl (1.1 MB view details)

Uploaded CPython 3.8 Windows x86

rapidfuzz-2.0.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

rapidfuzz-2.0.6-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (2.4 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

rapidfuzz-2.0.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

rapidfuzz-2.0.6-cp38-cp38-macosx_11_0_arm64.whl (1.2 MB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

rapidfuzz-2.0.6-cp38-cp38-macosx_10_9_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

rapidfuzz-2.0.6-cp38-cp38-macosx_10_9_universal2.whl (2.6 MB view details)

Uploaded CPython 3.8 macOS 10.9+ universal2 (ARM64, x86-64)

rapidfuzz-2.0.6-cp37-cp37m-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.7m Windows x86-64

rapidfuzz-2.0.6-cp37-cp37m-win32.whl (1.1 MB view details)

Uploaded CPython 3.7m Windows x86

rapidfuzz-2.0.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

rapidfuzz-2.0.6-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (2.4 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686

rapidfuzz-2.0.6-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

rapidfuzz-2.0.6-cp37-cp37m-macosx_10_9_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

rapidfuzz-2.0.6-cp36-cp36m-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.6m Windows x86-64

rapidfuzz-2.0.6-cp36-cp36m-win32.whl (1.1 MB view details)

Uploaded CPython 3.6m Windows x86

rapidfuzz-2.0.6-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64

rapidfuzz-2.0.6-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl (2.4 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ i686

rapidfuzz-2.0.6-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ ARM64

rapidfuzz-2.0.6-cp36-cp36m-macosx_10_9_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file rapidfuzz-2.0.6.tar.gz.

File metadata

  • Download URL: rapidfuzz-2.0.6.tar.gz
  • Upload date:
  • Size: 921.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6.tar.gz
Algorithm Hash digest
SHA256 b926bca71a113ab8fc91bd03609f0f1836159be0d201e76070132a75e88c2be3
MD5 22b7b7fe59ea537cf9a1df4da14692ba
BLAKE2b-256 adb14954b94458ba0b245c4e3bb35d12e23b748dfde8492d2275ede87d7fdd93

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: PyPy, manylinux: glibc 2.17+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 67ee0af45aa7edac9acca071bb92bf4e82536c0906aacf9eda15f24364d16a1d
MD5 ef3e9d2db668d514f385f525dba33829
BLAKE2b-256 b05d3d1a9197368cbfaacd328bda3fea49670076fc726cef58fc65af78ba865e

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
  • Upload date:
  • Size: 2.3 MB
  • Tags: PyPy, manylinux: glibc 2.17+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 1a5fcf9b612a015419636bbf4eba0ff7a6eaa7eda60e1107fbf1b09e1bbf4016
MD5 582ea2a01c39e1cbbb466e2ab117c1b7
BLAKE2b-256 64524885c8b6fcf2fe1d52eca23ba0ceb6a4ea6cc532712af0db17783bc2ecbe

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: PyPy, manylinux: glibc 2.17+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 50e57d807b7853c0e5985a53347dbeb582ce82fba5010d3ffaa36bceaf4d127d
MD5 b67373b2b7175a761f48010d0780b3f1
BLAKE2b-256 54dd346d148eddc49bcd13bf9731eb40a73fbd5846a03fab29d4cf4e9f256702

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: PyPy, manylinux: glibc 2.17+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 731453dbdb517a6479a35a0a04b8d1f2e2aa51384810fd7e14a1636907318bca
MD5 5b005e7c05df6f5a22007382285c975c
BLAKE2b-256 51861a7f2a270ae4550bac7c8d3a8c798682f0d0c0ba785ed6a59471aaed964e

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
  • Upload date:
  • Size: 2.3 MB
  • Tags: PyPy, manylinux: glibc 2.17+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 0b6566c90021a1ae94f54603396afe477e59d3f3b441c81f5604f1aaf95c4c04
MD5 407e62d2ce05a16c195927a1cb8cc15c
BLAKE2b-256 9dee080fde1359bd6045cc703c9ea26db733f48a920ea8ad48c0bf0dd7306be6

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: PyPy, manylinux: glibc 2.17+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 5efade9f18bcd4ff939240c519656f3c75f7372970ab4c8461635038263b8f6e
MD5 52cb2b7d434ffc725d71e2e099561322
BLAKE2b-256 093a8235a2cebd3786e26fb48677ac5248c90323527a53af1e6a6c480a323396

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 334ffbbe34a1ad09e86830caafc04cd54c2a8102279b1fa7a4c54e6abd4326ea
MD5 8554a60e8c37afdb68daebc603cb0078
BLAKE2b-256 5abf0793c40e104cf1be9fa6cc4947930752b956a1a9275ac11dbc47de993edb

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp310-cp310-win32.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp310-cp310-win32.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 b0e38c385d8daa42dc366d06c29185d9847e746194bca251505765e8ddccb017
MD5 d060faa76faaeece9df35fc9e79b0db1
BLAKE2b-256 3d22d86e4f42b74ac4842287d228401e69c8cb3687a6d097a4daa2a804805fd2

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: CPython 3.10, manylinux: glibc 2.17+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8d56e1ef18104c4fa783a213851df89b5d554399b222a0fffb699f8d8a4e2134
MD5 b4db32854190de533815765d85529625
BLAKE2b-256 6187a1e84b17f7a576dd4f6134c97baa91bec31f637e263d74020037f8e596ce

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
  • Upload date:
  • Size: 2.4 MB
  • Tags: CPython 3.10, manylinux: glibc 2.17+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 d3b2838a45f6d97512d33699cd598f580c90db462a4edb42d9bd57f383833fcc
MD5 e8472fe03631b8faf6ea75defc8bef69
BLAKE2b-256 a2de9856f8a668c4a88485b1dd1ef8726a89d7d6b5ea6d55c3028417b2636e4d

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: CPython 3.10, manylinux: glibc 2.17+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 9f338c57b39273638447b5ed38a6d9546b27a33c1d955a986b7dc1530a807706
MD5 4d0fb415f162d6b73dbe13e93ea1beae
BLAKE2b-256 4f7d45db16ab55fbca44f4699ab6c63fc64a6a4f5fc336b79f3293160e9926fd

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp310-cp310-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.10, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 7f2223f36c147a7303f87be4d520888c0f94f8d6e7f05e7869d2024a873b0475
MD5 02e0134b51e828d7f4153c2a85b93b59
BLAKE2b-256 4ca8ad5edb60433f6691b3c8217427857f825b2de7ba60651812076f5cc0d4f7

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp310-cp310-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: CPython 3.10, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 734903dd9f01c67324665a27d78a1d247376c3bb8827ae0d76f46a61b8d4275c
MD5 3f194dfa3c3f7a0f317c08ade42528b2
BLAKE2b-256 a9b9b89a3294cdbfd6e078dad088fac3cc61be70ad9740670f826e25fad9be8b

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp310-cp310-macosx_10_9_universal2.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: CPython 3.10, macOS 10.9+ universal2 (ARM64, x86-64)
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 bfae5b4eae35ad793edc0e8d46c849ea490591a1239827bc2c20af4f096e1634
MD5 3300489d6a8ba1c9aaa1bee6aaf57782
BLAKE2b-256 e63c7fde0d3bb050c578f6e6853496f328666f37e84a0fddb98c2f4a7f670bb0

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 7b78dcc93fc52bddf0e4edb5aa9ac3ad976c1ff5752f8fc0ad2d9095777b56bc
MD5 2270c72436e9509bbf1af3e96dd6f507
BLAKE2b-256 5762dc6a19b57da131bc97c4b4eb37d41838e1cc77ade5edcf1fa542030eca76

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp39-cp39-win32.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp39-cp39-win32.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 a3aa77678eff1fce8cf27b364b938db2a119a87b1d5703895e1e872b61de11e2
MD5 b25b42314886b6a63328511966cb0b8a
BLAKE2b-256 1d5d054d1a311506ef888e217284ad8a685384ae96065234bbe133d36c0bc1ca

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: CPython 3.9, manylinux: glibc 2.17+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c0624520b4ebab31fff44b40929c9bb08179ea9087c1abd77b4d3b52245b1acb
MD5 d84dacb06a7ce883114cc33e8016d739
BLAKE2b-256 a010051a40d54d8c30d763cf26b97d3dfafaf8c544f1abf50a2247ffd1fa2037

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
  • Upload date:
  • Size: 2.4 MB
  • Tags: CPython 3.9, manylinux: glibc 2.17+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 f4472dcd35858f4063ae60809c914bbaac7c0ffdc155fb12c8256d4f6f3f8e5a
MD5 ea7f698a07171d2b0fa4f8a42e2379d9
BLAKE2b-256 d90ff0a16bd360a4934c4df86681c4e64436015d15f2b08a0d0eb7445298c1a5

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: CPython 3.9, manylinux: glibc 2.17+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 2e43d58c26ac257a8f8c4623ef93f98e1737f9b71853fad49b97fcb52b61b538
MD5 924cfe43db7781fe952f7debe94515c9
BLAKE2b-256 790197e88395c90cb729f63266a43147a9007915c2aa7ef9515b05a352b00915

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp39-cp39-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.9, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 2ece45fb09b14edd0eed7465a7adab43a13a40c824948b86da24b051ec4c252d
MD5 11ceb466c989e5ca67bd935f4ace75f1
BLAKE2b-256 6cab54423fa1f8da406ed50ad20c1fbd0972ca456be8543cbdfa3846de2f29c8

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp39-cp39-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: CPython 3.9, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b373ad986123f95a3c33990d7a64aab4cee317b557c8f97c95e73340f29180a0
MD5 09f6990123df88505a6340e75d1723fc
BLAKE2b-256 da721288fbd9a0d8ae7464b0bc88a1afa65e64fff88889edd751810a0641d417

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp39-cp39-macosx_10_9_universal2.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: CPython 3.9, macOS 10.9+ universal2 (ARM64, x86-64)
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 018568bba13ad7d319782a44e3a18be63cd6aae7be82f594d1584662037737e6
MD5 b66779e6fc40c2e2fdfe33858390f78d
BLAKE2b-256 95753dab8b285d384c091e6ca58d56d18992977a00ed5e54d2325927577841a2

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 bb7ceb3764187dd980605178155f1a847d216a2843fda6cdcd7f7a295ffda344
MD5 76b4b30d0c92a91dcfc614c1fd598ff2
BLAKE2b-256 90ce10443021705ecbce33d8cd2271c24c8652519c3abf29fb2a71be91bbcbdd

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp38-cp38-win32.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp38-cp38-win32.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 3cb28b91035ce8cc31a871d87877ddee78da11dd1ae33515288060cb39f113f4
MD5 a330a7656360ae365f217a7d8eb49c48
BLAKE2b-256 e0a31fa638e3e084ab1962573c4dc13de89e648e411c8cfd042c57d5645db54e

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: CPython 3.8, manylinux: glibc 2.17+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2982b4effc0e6f35a440a0ed01f370375e620e1eacd7cb121fe081b8189c3f39
MD5 60e89848e2c48971670ff4c8bce0319d
BLAKE2b-256 60d6529dde35004267bdd94f17329c05bf665012089ec66554e6b330e652f633

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
  • Upload date:
  • Size: 2.4 MB
  • Tags: CPython 3.8, manylinux: glibc 2.17+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 39e0c225dbfca55557421e96dee2bfc6838a7223dd234e164c7fa3beb439f095
MD5 debc98e87346fe92e21ece956ef1a2c0
BLAKE2b-256 8f769ee9b9e993dc7c3631bbe5ee29a818c86e9c28964975899fdb794a585a5f

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: CPython 3.8, manylinux: glibc 2.17+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c34c3317d4972703ffb0dec31eded5f6273077138facdb3ed0b243af1a217e8a
MD5 03d1a3e8f2c3adcbbdf57cfed7d5e5f1
BLAKE2b-256 dc12ed86a068ccf89f9c072c1986d6505905ba2b74da4eb44565e21cb25aa7aa

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp38-cp38-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.8, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 ad018aebe7de07eb5f266c03925564a3aa6424511f1e6119b523cbebd3259a9a
MD5 f59e167580cf04dd78173f68ac7f0cf2
BLAKE2b-256 b4bd97f7cf1779f5b37f18b22d9267c26d67470602fc9c4802424b904dad8993

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 c0b85876d632f8047fb1c53cf0e240648be1e953ea1a9c2640885b9c769d6c78
MD5 0eb4dccd852de31de748660a143eca6e
BLAKE2b-256 cdd680e6a0968bc36e05e78ce6f5659ab6abb53737c0a755b3a8d22d17d41a9d

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp38-cp38-macosx_10_9_universal2.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp38-cp38-macosx_10_9_universal2.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: CPython 3.8, macOS 10.9+ universal2 (ARM64, x86-64)
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp38-cp38-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 8d6520c721a347c7294a62e8760d274f50e35c8b42365b0b8817b8052ebde9b4
MD5 16990eb39f429781dea66cc691c6f429
BLAKE2b-256 8aa39554ddf19588ce637616bf55348aae57acd0dccd8450fd1f7b12d55b68b9

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 aab5b117e4466bdae7f61d521cb205e0e23dbcb61b58e7df13b66ff8d98933ca
MD5 8066ad8aff6e5b2055eee1daf230227a
BLAKE2b-256 b04a57aea7e3fcebe423ee7268003308f6c4d1cb5251eae094cb0d7398a56ffa

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp37-cp37m-win32.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 78e7024a3d7e8b7c0e66ddea09da29fc058627dd64e28295b6876d53c4fa7823
MD5 5cfdb027b4f90c4c0495e744da07c931
BLAKE2b-256 fa1b61bcb66f40ab2c07a9c1a8198081f7dec150494936b994346d63289af542

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.17+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5fac5d41b9557a09583578a582bcba98cbacc3da3532e3371758ed2a8dd53329
MD5 c70ff254faba1e3360dfa93a679ca311
BLAKE2b-256 c8df1282bbc5b3117ae63d2d0a80596613446307afbefb9b699154553b223da7

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
  • Upload date:
  • Size: 2.4 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.17+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 aecda58ada93e34e6e23926bb31ca44fc913600a2153264c8bcdbe19afecceb6
MD5 110146416970e780b1017cf486f28cb6
BLAKE2b-256 91e1c7cb232753c3787939349ced4299e9e1a063290fcc26ae15fb281c249dc9

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.17+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e3b35ce305fadd57ce47f73361c29e94c0378df335046b77442034edc98895dc
MD5 654f346603b7446d99c7288c157b411f
BLAKE2b-256 49f940afa61b4bb25507857fb5874eafc475593fd50dcb44d3ba6c2b5888204b

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: CPython 3.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f37d284cfa20cce58eec8c34b44e5ff8002ccd0d450e5317ded90057d7fb8488
MD5 5ac36a0fb3df88003a53a216a9c9077a
BLAKE2b-256 a46f8f7cbcb66ee1a1d9310c9bb434ec05d7f95a9ea286669a8a6d1b435d6935

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 d3a73699d4d2dad955910bdb40432488d6a38e96043d4d6d67e2cad3c1460e24
MD5 3139a2cddfc11c0d946b55d09c23e835
BLAKE2b-256 c3b67c733f114f80f5866c486f6638c5867f91c65220798a5d423e9129c3a9a3

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp36-cp36m-win32.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 9fac21500a8ebbabac89aaa10ecfb13d919e4950c786a460ab76974405bd5269
MD5 807025d7ccb874829b47f8a13cd3a1fd
BLAKE2b-256 7858ba9aabeafff4c0bbbb69a4ce5b9dc04423e254ee208c22613019e75c3315

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: CPython 3.6m, manylinux: glibc 2.17+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 fbf8955dc43df83c57cf9cb71f08d34a8fa4fa7aeee3dff8ec4c157ab67073fe
MD5 393b346bba0e2ec2fe5d4e156345dae6
BLAKE2b-256 e639a08a1d1afd7390577e5d5f9f9d0d968babdf974c132c1a16f98ab964d0d0

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl
  • Upload date:
  • Size: 2.4 MB
  • Tags: CPython 3.6m, manylinux: glibc 2.17+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 46c699cac729b559537c7842622aabbc4306881c120f290215cd239b9dd291a3
MD5 9d4a059c24955fe1f0d065cd9fe9207c
BLAKE2b-256 cd2bda6d897ad310b439caa0f664061f4ddfe665e47d0af403d7cc32a5009283

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: CPython 3.6m, manylinux: glibc 2.17+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 6c0b4c279d9dc6000c49f2e8807cba63916dd3a7ba6bbc73cd89d445e396be39
MD5 cac901f80e8a0bb04cb85f91d2c25462
BLAKE2b-256 7b2d3b6ce9f42632460c9408b0c3cb782030dcd120c49b721f0972950322f61f

See more details on using hashes here.

File details

Details for the file rapidfuzz-2.0.6-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: rapidfuzz-2.0.6-cp36-cp36m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: CPython 3.6m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for rapidfuzz-2.0.6-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 09262e46b7f33a5b063b40468d69c4888ef086314688827d90d4c42575394aa2
MD5 2bf779e8f50b3d7b05a56f9804c96aae
BLAKE2b-256 105c06b1f52b7ab6a423f6e12ce56394cd0774f2ef961cd6ee0981130be08706

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