Skip to main content

Approximate and phonetic matching of strings.

Project description

Overview

jellyfish is a library for approximate & phonetic matching of strings.

Source: https://github.com/jamesturk/jellyfish

Documentation: https://jamesturk.github.io/jellyfish/

Issues: https://github.com/jamesturk/jellyfish/issues

PyPI badge Test badge Coveralls Test Rust

Included Algorithms

String comparison:

  • Levenshtein Distance
  • Damerau-Levenshtein Distance
  • Jaro Distance
  • Jaro-Winkler Distance
  • Match Rating Approach Comparison
  • Hamming Distance

Phonetic encoding:

  • American Soundex
  • Metaphone
  • NYSIIS (New York State Identification and Intelligence System)
  • Match Rating Codex

Example Usage

>>> import jellyfish
>>> jellyfish.levenshtein_distance('jellyfish', 'smellyfish')
2
>>> jellyfish.jaro_distance('jellyfish', 'smellyfish')
0.89629629629629637
>>> jellyfish.damerau_levenshtein_distance('jellyfish', 'jellyfihs')
1

>>> jellyfish.metaphone('Jellyfish')
'JLFX'
>>> jellyfish.soundex('Jellyfish')
'J412'
>>> jellyfish.nysiis('Jellyfish')
'JALYF'
>>> jellyfish.match_rating_codex('Jellyfish')
'JLLFSH'

Project details


Download files

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

Source Distribution

jellyfish-0.11.0a4.tar.gz (261.6 kB view details)

Uploaded Source

Built Distributions

jellyfish-0.11.0a4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

jellyfish-0.11.0a4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.1 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

jellyfish-0.11.0a4-pp39-pypy39_pp73-macosx_11_0_arm64.whl (323.2 kB view details)

Uploaded PyPy macOS 11.0+ ARM64

jellyfish-0.11.0a4-pp39-pypy39_pp73-macosx_10_7_x86_64.whl (328.7 kB view details)

Uploaded PyPy macOS 10.7+ x86-64

jellyfish-0.11.0a4-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

jellyfish-0.11.0a4-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.1 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

jellyfish-0.11.0a4-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

jellyfish-0.11.0a4-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.1 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

jellyfish-0.11.0a4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.1 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

jellyfish-0.11.0a4-cp311-none-win_amd64.whl (207.2 kB view details)

Uploaded CPython 3.11 Windows x86-64

jellyfish-0.11.0a4-cp311-none-win32.whl (204.1 kB view details)

Uploaded CPython 3.11 Windows x86

jellyfish-0.11.0a4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

jellyfish-0.11.0a4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.1 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

jellyfish-0.11.0a4-cp311-cp311-macosx_11_0_arm64.whl (322.4 kB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

jellyfish-0.11.0a4-cp311-cp311-macosx_10_7_x86_64.whl (327.7 kB view details)

Uploaded CPython 3.11 macOS 10.7+ x86-64

jellyfish-0.11.0a4-cp310-none-win_amd64.whl (207.2 kB view details)

Uploaded CPython 3.10 Windows x86-64

jellyfish-0.11.0a4-cp310-none-win32.whl (204.1 kB view details)

Uploaded CPython 3.10 Windows x86

jellyfish-0.11.0a4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

jellyfish-0.11.0a4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.1 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

jellyfish-0.11.0a4-cp310-cp310-macosx_11_0_arm64.whl (322.4 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

jellyfish-0.11.0a4-cp310-cp310-macosx_10_7_x86_64.whl (327.7 kB view details)

Uploaded CPython 3.10 macOS 10.7+ x86-64

jellyfish-0.11.0a4-cp39-none-win_amd64.whl (207.2 kB view details)

Uploaded CPython 3.9 Windows x86-64

jellyfish-0.11.0a4-cp39-none-win32.whl (204.1 kB view details)

Uploaded CPython 3.9 Windows x86

jellyfish-0.11.0a4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

jellyfish-0.11.0a4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.1 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

jellyfish-0.11.0a4-cp39-cp39-macosx_11_0_arm64.whl (322.4 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

jellyfish-0.11.0a4-cp39-cp39-macosx_10_7_x86_64.whl (327.7 kB view details)

Uploaded CPython 3.9 macOS 10.7+ x86-64

jellyfish-0.11.0a4-cp38-none-win_amd64.whl (207.2 kB view details)

Uploaded CPython 3.8 Windows x86-64

jellyfish-0.11.0a4-cp38-none-win32.whl (204.3 kB view details)

Uploaded CPython 3.8 Windows x86

jellyfish-0.11.0a4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

jellyfish-0.11.0a4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.1 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

jellyfish-0.11.0a4-cp38-cp38-macosx_11_0_arm64.whl (322.5 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

jellyfish-0.11.0a4-cp38-cp38-macosx_10_7_x86_64.whl (328.0 kB view details)

Uploaded CPython 3.8 macOS 10.7+ x86-64

jellyfish-0.11.0a4-cp37-none-win_amd64.whl (207.2 kB view details)

Uploaded CPython 3.7 Windows x86-64

jellyfish-0.11.0a4-cp37-none-win32.whl (204.3 kB view details)

Uploaded CPython 3.7 Windows x86

jellyfish-0.11.0a4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB view details)

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

jellyfish-0.11.0a4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.1 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

File details

Details for the file jellyfish-0.11.0a4.tar.gz.

File metadata

  • Download URL: jellyfish-0.11.0a4.tar.gz
  • Upload date:
  • Size: 261.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/0.14.16

File hashes

Hashes for jellyfish-0.11.0a4.tar.gz
Algorithm Hash digest
SHA256 eb1948063c5121776c682fb6649a1f41b2dc11d4d835d23d10359c6d7cec2df5
MD5 80ad9ab3485bb6cff8f9aa5cc3a5852d
BLAKE2b-256 035b70602ebf8269c64e1842b5e98477bdf12c92e64a67f93950fd36bfce0ab5

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b2f61450390522e2ddbd4f1a5ec0e5ab89d0ad7e013c38e00f506e06b90e9883
MD5 8628c030720d9f77bb5ee7675353e50e
BLAKE2b-256 d2c41a80b467afcbde67b3f4c22bedbc4daace9ab9b438b2ff7f595c299934ab

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c466226520e13a616b8c4eaf169dbee846c7f228b6758574560d5ef52b5aa9c4
MD5 0af5ac731911d0ff4106097accfa48c8
BLAKE2b-256 3213e217ae8420f651f863135d99a5d091228b589f9f8fae15638288a40bbdf1

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-pp39-pypy39_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-pp39-pypy39_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 de350b8b3e1fe230ca564b6e234d1b5d2f75195897998af8392060feeee27483
MD5 2d98fe630fd3fb24b7ea55059f1693a7
BLAKE2b-256 15dc831068224e15541d88dba3c6b7ffb1865c01f27c20acb673b6486b145303

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-pp39-pypy39_pp73-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-pp39-pypy39_pp73-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 8b31329e72253b7290bc00d3f5a18fdaf0c987c5f60231b840e6e5afadb1f0a5
MD5 81edd1c356608754534c733ddc3552b9
BLAKE2b-256 68fcbef72055bf4110d35000349aabbd5333152916f27aec6013e5b4c5a8cc42

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bc9519b4a3e5a216198c9c9894a77081578136299071e12d349ddc744788c739
MD5 d6cef4e1bef4bea7896078f84fa81944
BLAKE2b-256 04cacbf8607a5d93b753a2d8b690441ab26cf8008b4234acbabcbd62d1628c19

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 9494c58516f73991c79892cd12e609e7b08e533db30daa650d9c9c7a6024731f
MD5 57721ab830d99998b1e921f2ce47bbda
BLAKE2b-256 a71b5a1e3a865ac49094d9e8c8801fd177291cd4040a3ab84b8b42c06abb48ef

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6c32f5fa35ba716dc331ded8c1c8d5f4ef9f9c5c35a298b430f35536012ff2d5
MD5 f2e1d8e075a9200ab6bc8c7c17200a5b
BLAKE2b-256 4abc782006b02f6cd8229e98ca17e0a8feb278bb8a8b674bbb5bbf92b7d8467c

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 05433b9e78497914d1e25bbe2ed7a4953cf2abf73d42a30fb3706b11f578ebf1
MD5 44236522fe10c9ee41b0d3eac95cdfb5
BLAKE2b-256 4aa54e8eaa9c0569d8f33dc7ad86c42eaf883aed24e6c44f3f067e9ae86e5e43

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 0d1612b1599250b9f907e004bdab56274be27c37ee08490d4eec8fe2df2ad6b9
MD5 c54c552db90207b6ce4d99df0cc21772
BLAKE2b-256 cc0f2361fad134434ceff8db1d09a0ab903fc5d19233ec07cae7e060e9c00eba

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-cp311-none-win_amd64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 cbc7489dcc7f06527ef99574964f339fec2c305cb79994a270deabd8e9994740
MD5 f9875d79bb5eb0daa62888b0b86d3acc
BLAKE2b-256 f76dd99c57268d1a46f578b8a3b4b642640a529b2c56d0989d97ae8bf47a1d77

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-cp311-none-win32.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-cp311-none-win32.whl
Algorithm Hash digest
SHA256 e9432867c9ac4487b20802e3b2bfdc3770c263e35be301c2a93c7b738f955856
MD5 05cda53479f526e618828f1299edcf3f
BLAKE2b-256 43ded26a2c096b68fd8b60276628b9d8984a1e85e706855d8e0ce255c7f7601a

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 27a0af0d9d98117864790ac501459ac7b28aeaf0e022f41e486bdd1783df0e8c
MD5 c331873ad13aefbac3f2432e4f81ff54
BLAKE2b-256 9795dec2dccb3afc690ff83943db224c4aa9ae593ba198d2bae7859b1b702842

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 64b76dcd09aab04716b53b0654d1d2a360ca5801d41a682a986d19c36b989a6d
MD5 947b8d2e2b337f09de4903fb4940249c
BLAKE2b-256 bfa849b7c891a5ea2c648203f3b1c6253e9c54b2902b5a77de1e428669653fe6

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 cbd7ef3501f415b873d9dc727903ed5d968cf9936530c781cc4f7371b4a57b5d
MD5 34d5e387626417634d614cc3640f255a
BLAKE2b-256 bb9778ffe159cb70a0d871f288071046007150135551d57d24a57156dd1152c6

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-cp311-cp311-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-cp311-cp311-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 0374082685ca1f6f8c0ded32aff18c511f28758ddcfeefcd1c15275a33857029
MD5 8105fca3af0d2757f1ca26ab4f97b341
BLAKE2b-256 3dcbf07d7f070136b024d74ebc7c1c388ef23d0ff95f6499ef0ccc13e1a686d9

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-cp310-none-win_amd64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 087a006cdf89cf40c8b32314843836e6017d7c292b7efcae3f69963f2569ff2c
MD5 66b92711e409ebe4d53e776e350a6282
BLAKE2b-256 ebe940f44801a0456a8924d69991740180e68a4417bf96b83bc601efb0bdcb75

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-cp310-none-win32.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-cp310-none-win32.whl
Algorithm Hash digest
SHA256 e0869c7c58237c2f6e7147cc3f142071e783e75479e9de88966cd53aeb1e83ac
MD5 a8219aa60f0a4dd81be4675abd9199b6
BLAKE2b-256 7db263df58a1c1507f65248dbcc8cccc3a51d85772f7c4df059f955ea72ea503

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 041cce58053be1001ad1f28755b21c1cd9e576cd51bf237542ab7f38f8500f9b
MD5 b31a5986ee1166e86b96c6f0b59b4d83
BLAKE2b-256 ea385884f7bfd15bb8b5b4bfd446d9458d8319e681b78b67416003007018da10

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 dae0234470adb3397dc18014f4f3ee4f3ec00235b25cdedbaa8d633c37ff4f01
MD5 ea843ca53815e1c5593ea6d1562bc9ca
BLAKE2b-256 e3972a73a8f0068fe9bc3082b7ca50f17ec9f4813cc050356c26ce6d393c0bb1

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 92ed121235161bb12e09505b56ae0cf13443dcb5bd8e50ea2f12fbbcc223d977
MD5 76680030b4b160c0bebb7ca282bfb74f
BLAKE2b-256 d2f27d9787515ad2ca75ae27d795ba617f083b38a7ada9c8b2724cde291a7d84

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-cp310-cp310-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-cp310-cp310-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 826b3b75378457a5791470ee903d918dfae88fb512a9fefb051cd1167b9da8ef
MD5 69edd76def35c299827c96622d03fddf
BLAKE2b-256 43a97f2b90662be9cd7f7180467b9d11a80f5067049e21571582a535a8f17a2a

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-cp39-none-win_amd64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 983c4dfb9c8977d5f09ed0b6af87349e8c69a7e418191c21c89bf94893c61255
MD5 e11c7ece4d2683ee1265b65827dc9910
BLAKE2b-256 c941d2f205cdf32abc2dfb93445855683242e7d382ffc6a8cd0324ccb1f82d8e

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-cp39-none-win32.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-cp39-none-win32.whl
Algorithm Hash digest
SHA256 b2625de12cc247d89f2b1da407a86ee044f51c313d29082031776b500d9b7e67
MD5 af0f3fb3293b05df041af7d6922c8b8c
BLAKE2b-256 3eae31cd3f02d7dbc2bbca7a416841a58250e6266f91ee00743cf3395b734968

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d6fccf6140d7342ac5a30b765ed362f6d5e10a8481cba20673b4f19b02b99b23
MD5 8b570f568921e94def798c1f1d1bf7e9
BLAKE2b-256 fd0ef30296bc3e9fa9c1091eed6a35dbdfc1c61e18d8030551573498f58f09f1

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d143ea129b779e1eec5638dbff3d6e4be4edb7b4d6b7503e4f5bc2d45e0c94f7
MD5 cbe02a945681e8d50b62843ba797dcfb
BLAKE2b-256 4fda500847b1bba5fe1e519f35fde478d74dbe48440c1b25ccabb6f32956c0b1

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 9a18e35fd936728fde9bfebd394cab54c6619c6439908eb0e64ab0bca9933126
MD5 ba28104db0208811edaaa58e996c1482
BLAKE2b-256 75e3c889f2ecede5ae74bfe3ce4afff315cd4c620e42a4f30d8fd780277d2fa6

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-cp39-cp39-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-cp39-cp39-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 d28fc79c0656c0b3c2b49af3cd6bf886a4de5724f2e68b5f840fc71449018bc7
MD5 5e42ac97c690e4930acafacf263520a5
BLAKE2b-256 9e3ddfe96b26e29fa57f10372bde6998765bcf4b92aa7778975314144066c959

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-cp38-none-win_amd64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 abdbb571673a61269abca42b35bc8fa116e9326e4cf9e99beb40b141921b144b
MD5 465abdfe5d89475727d240d2695dd2c1
BLAKE2b-256 cdec58793dfcd497c70e4c3d06ed6969d5d7c7c4bfd164277b80c564d70fa661

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-cp38-none-win32.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-cp38-none-win32.whl
Algorithm Hash digest
SHA256 098b3b28cc360cb4c68f5052bfe3500a395d551b05a251da6ffd3da97244518e
MD5 e1971f141ed8e987871d809701946d44
BLAKE2b-256 9aa259c4fb48213a1f4242cd9dee8a904cc729f541ea4431bf105924266baa33

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bf4aa5a2cadca13c7121524319cf366f5d60d04805b9d522ee751cc48205f9cf
MD5 78415c56bf95ec00a1a4d036db6e1417
BLAKE2b-256 0b82b1157eaa280d11e8269b63a704347720f991f1cb785fd023e7b6f5687140

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e860f8bd756fac76b6835911d3626aa1b12cfb0e565e2ec508264c3ea6c267bb
MD5 ddac3d3c65e8726c2a1b8f30f3c1cbe1
BLAKE2b-256 96dec26249bc601313a4f3641a3d3737ec80cd23b84ab5e138779b8867772c39

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 e0bb30a43c5bf7f23fb26e99f8ab3a6ebdc4ea4d1c608cf340034c705002712c
MD5 b44b76d795e7c7b0a0878d280ef6c90c
BLAKE2b-256 6c0681ce5ca72851cce389ff29dfe7c4fdaff868fd6253be93e1e8f139bab313

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-cp38-cp38-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-cp38-cp38-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 562d097d070713e25ad1d83dda4d7d2365fc4b2832b2f98b318cb67abb0b4bb7
MD5 c5a74331d38d915c61565292f33f90bc
BLAKE2b-256 0163b43a18d062ae396d34a4a098f5e7169430b6cd762853bec84e367236dad8

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-cp37-none-win_amd64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-cp37-none-win_amd64.whl
Algorithm Hash digest
SHA256 824bba449d76df3b9d069b5848baa56300673d24b3c184f5963b34be0959e3f3
MD5 720d2bad0bd5d07850f5f92557bcb6ba
BLAKE2b-256 5d6fd75bb6ec8e72c95478f52cd37ee28f274bc6dd2a9f72af9dc68dceb97e5e

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-cp37-none-win32.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-cp37-none-win32.whl
Algorithm Hash digest
SHA256 cfa651a257aaa3746ace876c999af0aff804256da37e7dc2a9af122552f89013
MD5 2a6c6418fbdb9a40d4e4e5bed4d9fcb6
BLAKE2b-256 f65495834beb981d69e8f0edb99b4fb22235005e7546bdd62f6052eed479476c

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f7b28cbdcee39221164d74be5c8e2e12701b6512d4c1503c32943b7116050d33
MD5 ef8b69b80299e0924bf57fe5d306850d
BLAKE2b-256 d26bb0d40b2a8e02d7825c7f5ccfae58553ddac26d1013ff4704a7fd3c2a2c91

See more details on using hashes here.

File details

Details for the file jellyfish-0.11.0a4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-0.11.0a4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 ddc46be4ed1263978943501cfd8a0a69515224cd1f4238fd60a4e497f2e889ac
MD5 93149b3e426b6f3d2e7e6250e16c5d36
BLAKE2b-256 b92f65ef9fdff9107690b2e64bc84d42ae749b100fa32b909900e5e457dd171e

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