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_similarity('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-1.0.3.tar.gz (363.7 kB view details)

Uploaded Source

Built Distributions

jellyfish-1.0.3-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl (1.4 MB view details)

Uploaded PyPy musllinux: musl 1.1+ x86-64

jellyfish-1.0.3-pp310-pypy310_pp73-musllinux_1_1_i686.whl (1.4 MB view details)

Uploaded PyPy musllinux: musl 1.1+ i686

jellyfish-1.0.3-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

jellyfish-1.0.3-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.2 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

jellyfish-1.0.3-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.2 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

jellyfish-1.0.3-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl (1.4 MB view details)

Uploaded PyPy musllinux: musl 1.1+ x86-64

jellyfish-1.0.3-pp39-pypy39_pp73-musllinux_1_1_i686.whl (1.4 MB view details)

Uploaded PyPy musllinux: musl 1.1+ i686

jellyfish-1.0.3-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-1.0.3-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.2 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

jellyfish-1.0.3-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.2 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

jellyfish-1.0.3-pp39-pypy39_pp73-macosx_11_0_arm64.whl (343.0 kB view details)

Uploaded PyPy macOS 11.0+ ARM64

jellyfish-1.0.3-pp39-pypy39_pp73-macosx_10_7_x86_64.whl (349.6 kB view details)

Uploaded PyPy macOS 10.7+ x86-64

jellyfish-1.0.3-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl (1.4 MB view details)

Uploaded PyPy musllinux: musl 1.1+ x86-64

jellyfish-1.0.3-pp38-pypy38_pp73-musllinux_1_1_i686.whl (1.4 MB view details)

Uploaded PyPy musllinux: musl 1.1+ i686

jellyfish-1.0.3-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-1.0.3-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.2 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

jellyfish-1.0.3-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.2 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

jellyfish-1.0.3-pp38-pypy38_pp73-macosx_11_0_arm64.whl (342.9 kB view details)

Uploaded PyPy macOS 11.0+ ARM64

jellyfish-1.0.3-pp38-pypy38_pp73-macosx_10_7_x86_64.whl (349.6 kB view details)

Uploaded PyPy macOS 10.7+ x86-64

jellyfish-1.0.3-cp312-none-win_amd64.whl (211.2 kB view details)

Uploaded CPython 3.12 Windows x86-64

jellyfish-1.0.3-cp312-none-win32.whl (206.0 kB view details)

Uploaded CPython 3.12 Windows x86

jellyfish-1.0.3-cp312-cp312-musllinux_1_1_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.1+ x86-64

jellyfish-1.0.3-cp312-cp312-musllinux_1_1_i686.whl (1.4 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.1+ i686

jellyfish-1.0.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

jellyfish-1.0.3-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.2 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARMv7l

jellyfish-1.0.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.2 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

jellyfish-1.0.3-cp312-cp312-macosx_11_0_arm64.whl (343.0 kB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

jellyfish-1.0.3-cp312-cp312-macosx_10_7_x86_64.whl (348.4 kB view details)

Uploaded CPython 3.12 macOS 10.7+ x86-64

jellyfish-1.0.3-cp311-none-win_amd64.whl (210.9 kB view details)

Uploaded CPython 3.11 Windows x86-64

jellyfish-1.0.3-cp311-none-win32.whl (206.9 kB view details)

Uploaded CPython 3.11 Windows x86

jellyfish-1.0.3-cp311-cp311-musllinux_1_1_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ x86-64

jellyfish-1.0.3-cp311-cp311-musllinux_1_1_i686.whl (1.4 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ i686

jellyfish-1.0.3-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-1.0.3-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.2 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARMv7l

jellyfish-1.0.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.2 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

jellyfish-1.0.3-cp311-cp311-macosx_11_0_arm64.whl (343.1 kB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

jellyfish-1.0.3-cp311-cp311-macosx_10_7_x86_64.whl (349.2 kB view details)

Uploaded CPython 3.11 macOS 10.7+ x86-64

jellyfish-1.0.3-cp310-none-win_amd64.whl (210.9 kB view details)

Uploaded CPython 3.10 Windows x86-64

jellyfish-1.0.3-cp310-none-win32.whl (207.0 kB view details)

Uploaded CPython 3.10 Windows x86

jellyfish-1.0.3-cp310-cp310-musllinux_1_1_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

jellyfish-1.0.3-cp310-cp310-musllinux_1_1_i686.whl (1.4 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ i686

jellyfish-1.0.3-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-1.0.3-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.2 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARMv7l

jellyfish-1.0.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.2 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

jellyfish-1.0.3-cp310-cp310-macosx_11_0_arm64.whl (343.1 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

jellyfish-1.0.3-cp310-cp310-macosx_10_7_x86_64.whl (349.2 kB view details)

Uploaded CPython 3.10 macOS 10.7+ x86-64

jellyfish-1.0.3-cp39-none-win_amd64.whl (211.0 kB view details)

Uploaded CPython 3.9 Windows x86-64

jellyfish-1.0.3-cp39-none-win32.whl (206.7 kB view details)

Uploaded CPython 3.9 Windows x86

jellyfish-1.0.3-cp39-cp39-musllinux_1_1_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

jellyfish-1.0.3-cp39-cp39-musllinux_1_1_i686.whl (1.4 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ i686

jellyfish-1.0.3-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-1.0.3-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.2 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARMv7l

jellyfish-1.0.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.2 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

jellyfish-1.0.3-cp39-cp39-macosx_11_0_arm64.whl (343.0 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

jellyfish-1.0.3-cp39-cp39-macosx_10_7_x86_64.whl (349.1 kB view details)

Uploaded CPython 3.9 macOS 10.7+ x86-64

jellyfish-1.0.3-cp38-none-win_amd64.whl (211.0 kB view details)

Uploaded CPython 3.8 Windows x86-64

jellyfish-1.0.3-cp38-none-win32.whl (206.8 kB view details)

Uploaded CPython 3.8 Windows x86

jellyfish-1.0.3-cp38-cp38-musllinux_1_1_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

jellyfish-1.0.3-cp38-cp38-musllinux_1_1_i686.whl (1.4 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ i686

jellyfish-1.0.3-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-1.0.3-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.2 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARMv7l

jellyfish-1.0.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.2 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

jellyfish-1.0.3-cp38-cp38-macosx_11_0_arm64.whl (342.7 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

jellyfish-1.0.3-cp38-cp38-macosx_10_7_x86_64.whl (349.2 kB view details)

Uploaded CPython 3.8 macOS 10.7+ x86-64

File details

Details for the file jellyfish-1.0.3.tar.gz.

File metadata

  • Download URL: jellyfish-1.0.3.tar.gz
  • Upload date:
  • Size: 363.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.3.2

File hashes

Hashes for jellyfish-1.0.3.tar.gz
Algorithm Hash digest
SHA256 ddb22b7155f208e088352283ee78cb4ef2d2067a76e148a8bb43d177f32b37d2
MD5 badb0546de65d66a07f7f7bf7ae3eabf
BLAKE2b-256 33157aaeaeb9c6be5b46ed1b0ee092430b717abc6ba8692d7f8a0a55a926b2dd

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 a2ce180fd087425e9a6f94979c84657cd91f331c3811b146c83605465d78130c
MD5 85c809a2974fc4b4478ddbc610d97828
BLAKE2b-256 f3b79a0fd9bcb3b67873f9974a1f0c1d2660b1b114d31ea9250366623af886d1

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-pp310-pypy310_pp73-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-pp310-pypy310_pp73-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 5b957602492ae611e052bc945693b91e9ab2bf1c11273c731f5ac718721d6e6e
MD5 849b00d8c0d25a42daa2975670b31ee2
BLAKE2b-256 bae06369eb9f865243c38788481009b2a944075b22a8d4dde72a117df29c9aac

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 92e17def9f6a3f6d6e7bc49040907a969ab6c1acd5bbc5db92fd65662f509ee4
MD5 f3bd04cbb3925b859a137bfa3afcf1a1
BLAKE2b-256 8204e419e45291ef14a7acda7c37847a081321b1e05ed10ddb1819df27d86d63

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 11f98c3041dbc80229916809b7a4aa9cc27142f385b6f334d9d8215b217fe87a
MD5 99470907ae8878da0d558ea8502e5a32
BLAKE2b-256 d1a3b530dd86c0a252552f78bf2f9a6533ff126edc89c009923c42a819449450

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 2f581d9b5b9e4f1967b980a31c584f01e62fc6ab24f94834a55d343bd438ccee
MD5 dcaa23b52de8d2b04767360f44298783
BLAKE2b-256 c4d520e78f05bc03189716f7f86015033fb91f11e7758cd92d779bbe354421bb

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 d606654953309a37b2f0ceaa3bfb26eeecc50d05577a037ac1f55f96f963e4a2
MD5 0cdfe0cb2d16a6be6180e627599da225
BLAKE2b-256 a960dfc7604988804d356b392e3328f4606b965cca8818bf18e9ce2043c3de57

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-pp39-pypy39_pp73-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-pp39-pypy39_pp73-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 9a52bbd1d71f6de4fd0f24e2673deffcd93289eea6b973887ebd5d45edc865c6
MD5 39841557a76416b846cb2ee4eb9a7c92
BLAKE2b-256 e03662b1129d5237f2c083bfdd79c256ad43abcffcadbc93904cfadbedb05282

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8299663d497c0357b92023cf457b485d43d2e969da287f345ab128d145e9f73d
MD5 48dc0318091988d46d735881c803fbcc
BLAKE2b-256 e1cbf4e0be74e12afe9998087bc74e5b720aa2322041d0e5dae398d8e33a266e

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 fafbc56ceaf88563aaf40b00c90b3a75d2d115a01082170091cab77fb14ca8d5
MD5 6c89f680764acb8407055812c31617bc
BLAKE2b-256 a644022363cdc049e1f41a5bc2af36b77d740613a96bc04e05c8c6f646dba08e

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 335f9798c5e7d03d1af748347d69cda740b71baf23a7f03275bf7b8b13d87fba
MD5 0897eaa67104ec34e16a1ebb0c088468
BLAKE2b-256 dbcfaa7db9a7f0dfcc79a019e4315f90aad3846d9dd4cfc2e0e4a2df812d9438

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-pp39-pypy39_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-pp39-pypy39_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 8b25acc9df837be60f72841a3c658bb74fdacb108631d67cb4c92eebf6bb2729
MD5 5e4de451c002ba228331ecb6763e4db9
BLAKE2b-256 41eb66a27536585c4b611d8683b8d2c515d8593fc8617f41bbff783fb2a1b98c

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-pp39-pypy39_pp73-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-pp39-pypy39_pp73-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 bbfd54e277ee4c72c383b9feeb8e1596466a17299508864892d76ba6a41a8d03
MD5 89016e4778813775ca9c5fe9d092c8d3
BLAKE2b-256 a6eb144524bd86c076429d9e35c0ec98d4f3e7f336e071c65cfeae17fb719628

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 9ffdec3137b4fbeadcf3ba49b75139e3271bd0fb3fa947ebb39c9d5a3af1db9e
MD5 f04946ef51da92fbf8cd1c49bf261ec6
BLAKE2b-256 695a7835b3b79ebed7290dcea1bf529eb70044763793b86532ca4cd1da2655df

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-pp38-pypy38_pp73-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-pp38-pypy38_pp73-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 70d9bf2fec251dcfa96443ec6710e845ebdeabf254252090c2614843a56753dd
MD5 c2c96529e1bfd3cdd9d503b8810045d5
BLAKE2b-256 b244201714ced5c3cf0078a8945ffb56ff0ac786e08a5905aed09d14c8673228

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 66ea8a7fe23f7794be55e36aac538c37ddb9cd21282779ac21afb06b280d6a96
MD5 f72163d227c7f9c91dfb03860013df78
BLAKE2b-256 51f4d06d7cf61c658be9fbb872201f20c33ed2cd33cf15ab1abaf7f1b8c08776

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 80b0330071a52a33a1d816f7058798196d613916258565ee5f1cf9d1165c95bc
MD5 f557a25ca51ddb9c35eb8c410ad20c10
BLAKE2b-256 b45e9a7ab81b4220055a0e40ffaaa42a7ea1030fb84c84bdd8590ad3564a2627

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e164002d9171a3c1dc6e256a6ab7c3c61f9e0dcb5a1eec77846e664cc1b10e6d
MD5 bb2857bd920d1f4ab3c4e6948c7b8583
BLAKE2b-256 492308653e1902820c2cc9513a19cc71ff4b0237a7b20852f4c5f5305e73e405

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-pp38-pypy38_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-pp38-pypy38_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 48dd2b6165dae690d051a9b39f92cf37f8e583c7ac64c83718d07ba7dc68a7f8
MD5 ee5faa3bca273b4e48a34bcc694ffb69
BLAKE2b-256 cc5b29356448cdb7b2c8ea605af61698bc2c03ed753ca4bb748b0801df0ebaae

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-pp38-pypy38_pp73-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-pp38-pypy38_pp73-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 141665836bb227e6c7e16195b292c8e0624ad6ba48471984c7d5a593876ba16b
MD5 4d5af9ad0f63e0aa740de72d3674a314
BLAKE2b-256 67bacc90a91236fa647e8d81fdc210b0ef661e1625e0e897ccdd503e5652a6fa

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp312-none-win_amd64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp312-none-win_amd64.whl
Algorithm Hash digest
SHA256 c5aa3b4775c9eb7c814eb0eab5632b5ff476fdfea2be83b10d40bb821e01aa05
MD5 28b40bc1cd36673c61a843e8958f5e16
BLAKE2b-256 f4933875450cef7add681d443795d3a2115cbb98fe71bfc978ca4f7c3d520e73

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp312-none-win32.whl.

File metadata

  • Download URL: jellyfish-1.0.3-cp312-none-win32.whl
  • Upload date:
  • Size: 206.0 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.3.2

File hashes

Hashes for jellyfish-1.0.3-cp312-none-win32.whl
Algorithm Hash digest
SHA256 9af1447ebff6e8429ccd09ae632becb5612a0ea6bd9eb3aa8c2069a5586b0455
MD5 d1e493be3ddee69de2100f3cb46ce531
BLAKE2b-256 785af8d7af627c1a69207d6252f44723375b00c400eba6c992898f1311ccfc6c

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp312-cp312-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp312-cp312-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 0271686a4e0cfa67a62ae151e71ef556df1b562373a29d107c3bff4f2308d3ec
MD5 f23fd0ff467f98827f7081433e9d60ef
BLAKE2b-256 aa8e8f1167b5e8e76a3dde0ffe6953722a01e9fe3429f02118acf79a77578026

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp312-cp312-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp312-cp312-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 cad69bc4174757abfc232c2741e3a6e08ad2050be9d84d91f58ff0936a8cce40
MD5 2c260706dae58964ad9645dab025a4f0
BLAKE2b-256 2e780ef806e24c3c603d208ca34bda4d2421a0d039be3c053ad70efe34be89cb

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a53b8636935f169bf928140ff09207c3cb24cbd76d87a1fd11785061cc7c57d3
MD5 014b9fc2321de1eb24897de7b8483bda
BLAKE2b-256 3d92217266fc2bc9ed5597474b6ed5f916a386471189399be54aac57aa3a387f

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 484051e6eaa55063e8683dca4336acff5d66c794b8517d569f4055e3df38a789
MD5 cbbcdc71a0fc2d3cc984fca60429e6be
BLAKE2b-256 660d50b3dcb41c66b3375763e3410f5d735f3bfe170c9a42d8100f4ce7facad2

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 3ce7aeb268acecec02f8f863a8343641064cb83d3d2fc44f4b2ca9fb31a1395d
MD5 f2ae3dea30fc73e5805018e98237d115
BLAKE2b-256 82817f200f6e1da797c242ddb8abe5a611c338119bdc3ba483b2d585d980745c

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 e162ab1c140a6ceb44a7d13e53b94a0ad5f796a4b1389bb91dc6448f7cfecd73
MD5 33fa72d5cf477f92256eafc83b349b01
BLAKE2b-256 e3c317d56326246f5682c058894e3a73c6932550f0fe73cefc491fc9cd387f73

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp312-cp312-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp312-cp312-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 7bf482b872dea6267fd486957bb018c69f11618130f0e2e2cd04a9dd64be32f5
MD5 3bc93e80e727c13bd24a9e71e39490c2
BLAKE2b-256 d30756b4be96634c8f14d4451abb8709f63b0f8f0a77e9da10b5cc0eea018f32

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp311-none-win_amd64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 c53895523a7a911621c4f46ffafb234ddbcd467a0e63782304c68652ba8dea41
MD5 63bc9b6c4baf6ffc77a715ca9b103f3f
BLAKE2b-256 7e259fc8c0836ecddcdb0acd2abbf0ecf334d9425afbe1099b61ecdde981669c

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp311-none-win32.whl.

File metadata

  • Download URL: jellyfish-1.0.3-cp311-none-win32.whl
  • Upload date:
  • Size: 206.9 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.3.2

File hashes

Hashes for jellyfish-1.0.3-cp311-none-win32.whl
Algorithm Hash digest
SHA256 0a5fff421ec821d37ad316f1f8e7706c5868d662d1dadcdbefd38ba1df45152d
MD5 9b4ae8adb1a6c2e703138994e8f32265
BLAKE2b-256 344a5d01e7d12c12fbcc0d9b4731cd75538904bce61767c7ae8b38fc6ec6eb40

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 0ad15b58b808c76082b19c606a7a32d4c2c92520bbcb3a5c637e36520248e18b
MD5 a4135b03ee10e4d89dd25d14c71d093a
BLAKE2b-256 2b623ea735dfe53299f7cb0b5257c01695b9b3c4bb39c36f1dce6dd32655bd7d

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp311-cp311-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp311-cp311-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 65e4256c44963337fcc63897f01f4a754bdc17e4d740bceb55c04ab94ca9c07e
MD5 aeb00642f15dff4788afe675149650bf
BLAKE2b-256 c7fe5fd7a657221b1e880b5067539790ce9c4e4dfc7e9f745acacd6b45227f33

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5aea474cf64998eb102d622944fde3d9198b17a2ec36ed1cae34fdb1887015fb
MD5 65369979b6d350a0fbc57a95e77632c6
BLAKE2b-256 9d91e180a37cc9ac7af0b1204bc3a9dbc14f4a8e3951933b68268a2dae72953f

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 553f195f2d24702b8586c6bd73a938c028d417f58ca4aaf735d827db7e21e827
MD5 a863cf00db8df9fb427ea22f42c2327b
BLAKE2b-256 8620e48cf57a1c1dd2fe5706caace30b50a91725343a7c7f275b066d270bafa4

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 61f0317789d139456c678f7a68a93130d3c0227e76d200cbeedf156719747d8f
MD5 36a0e23c0bfe5efc6c0945e872d8165c
BLAKE2b-256 49e50066a04422d59fc5bff5eb587cbb6bea7098b0f258488692ef6fff4a32e5

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 abd8388161df3ec6469b7b6fdad1066efb3958d885b7390ed105824c7e4ac68f
MD5 b94669c3d0a950d93db1f7e19d66efc9
BLAKE2b-256 4c1f6a3f21d3c97efe75860df5e1e815250ca58759420962e560842a265b1bd0

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp311-cp311-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp311-cp311-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 06d75c438a735a689986ba6a199daa60da30515dd99696b08c10c800b08a8725
MD5 5c67a0bd394be58aab133e1d5e5c7352
BLAKE2b-256 425b76cec78ed891544fb95eb7779d897907112dfce038a4f60bd3bf2a7a1010

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp310-none-win_amd64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 da254a29f9ea2c5548fe02e42d0d361de566a92c6e7aef991eb6640d18b6f4b5
MD5 fef72bc29c40d0507d65012f109658a0
BLAKE2b-256 4f739147c77fc7bbbe68b7b2dc312e208895bbb588a1e4a14631357857488957

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp310-none-win32.whl.

File metadata

  • Download URL: jellyfish-1.0.3-cp310-none-win32.whl
  • Upload date:
  • Size: 207.0 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.3.2

File hashes

Hashes for jellyfish-1.0.3-cp310-none-win32.whl
Algorithm Hash digest
SHA256 5932f7d0643db9deb09de50770fa7fd872f4e76d39686568d2a63bd3e4af16bb
MD5 053a742a324c3bbbe15be0966d7dfda4
BLAKE2b-256 b7aa6e906db89790b3131aa392765cfcb344794a1917ad38b9b19d67f5fab980

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 d5d01941cd21ff57e41713c77786654f513cca2ace73f7ad53aefdf952600d06
MD5 6e4552fafcec0c077e963d177c757e92
BLAKE2b-256 78590089504b77da4990d5d78efd3a85d89dc6f98f00b01de15e36b30901ae66

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 643315eb140af1bbfffb6d38b0371920c875ca3ec3fa0403b851bd50b9a9603c
MD5 1b400fb194a13f1a57e90153e5f3c203
BLAKE2b-256 8e7bb828e0fa6d5ae5a6a9a915a587c3a586afc03188391f37b0f8f79da21282

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 face52972a7c8d2538aec5bdbc4c863a7f2b3c5def88a6e6977fcaec8acefc92
MD5 defdb48a4bfd56d852687ee05fd3ab4f
BLAKE2b-256 26878d31224804af9dfa7b34657e083b67b24b322c41dd9464b52218c1a33890

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 ee1a1db7bb5c240031d7769301fd5291a40997df76e68d322a2aa9b4f3fd7ba4
MD5 8044e066b0f79277f7d3d33eb27436f9
BLAKE2b-256 086085dba63fc9ea544a611537ddc9ff10dc9d2913558725347931616cfdecee

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 54c862cbc866aa45521d9a01100c1a3d7b305ebde2b4d7606cbd6c82350fdfa0
MD5 bdf845755909c2e273a3b211fa23604b
BLAKE2b-256 355ddb002ee297972048df3649d8bcc9e0a26ddd44fbabcb0d17600c58da3bc0

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 0281e85aaa1a6edead83a66801a3ad24da27f80bee1efc6ff85ac7fa10069270
MD5 9079b53a59a80d8156a7858d2b87aec6
BLAKE2b-256 f82016133e06defdaa071a81181b79976aeb66f5043004480e59f98133d90a2c

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp310-cp310-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp310-cp310-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 318169ed003949a177536f9d6ee240997056caef75e37a66e7ade1e7d6e9fa4a
MD5 7d44b334956e90c027b31b607745b1f6
BLAKE2b-256 4cc2ecdfa2edf8a235165e24225f30efdcb3ebe5016016d8a5cd7fbe07d0b818

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp39-none-win_amd64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 1c3be01748738812d4674eb6badcd7e42a885700a4a50c8872683bd3687b58ec
MD5 06405bbecc6ab1f7ca65bc502167fe8c
BLAKE2b-256 3053866ee8103e5d505ae27a04eae4cdd1e2a8882375d81279f8600ce8bffd76

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp39-none-win32.whl.

File metadata

  • Download URL: jellyfish-1.0.3-cp39-none-win32.whl
  • Upload date:
  • Size: 206.7 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.3.2

File hashes

Hashes for jellyfish-1.0.3-cp39-none-win32.whl
Algorithm Hash digest
SHA256 c59f5cdc04b62f8f4ff4575dcda66c3def012ede0049d8e199981cd155cb74c5
MD5 01c995d55d6872649c46d1cb4baa21ef
BLAKE2b-256 af7d539e98b128547e6c3879bfef9ec2cb2c0edd2d8d36649448de7367095c91

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 024d58f45d24565a0ccd129a1a90bb85f9e3fa4ddd4f50dbbd3ac39feac0bb7b
MD5 1bbc248819340fc5497cfd5f3009a0b5
BLAKE2b-256 63907cae504eb606dcb3493beb862aa475e9ec21798b7dd0fbf376cea55304c7

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 45a20a9ab3bfbc7983f60548aa5aff02408bb64de959a765636f8e1b5167266a
MD5 b4a7e5d1b1f2e3ee3d4bb33a892f2844
BLAKE2b-256 ca5c03c6306b521b612ebf050942d7170d07ca77810ba0bb73ebc4724fdcc49b

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 004f6ab661ae4c591be1aed604fbf5976415f1bd771274d29ecdd59b82ef0518
MD5 a2b5f820bbeca9648b6da17e3eda3354
BLAKE2b-256 64696159b809f577e51fbd236ab796e4489ff7f8d27124e9435f0cb8eda186e8

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 4351398fee07578d232625deb8fdadf7949c322e68ffd9e50b374ff0429d4071
MD5 bbf0405036957413598635c549c24a99
BLAKE2b-256 cdc4fd7068f71be67e6dd28b5f0a17dffd7fa218b9e4508dcd18bffbee699966

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 fab07dedd2d30af9da37c1b80c0a44bde8e2dbff240064beaf33bb6d6d6b3228
MD5 33e793d103b1d70b6a5459526b1157e7
BLAKE2b-256 f3e5bafb5b49d7e56a1fb131106a504d99fb697c337c26120ea66c70fa780027

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 36e5b76447f91f08af1eda5c880aec00533e49517e206ea1b856e956f2a721bc
MD5 d055bff8df24099eca79ac82afecc7a1
BLAKE2b-256 4580307f7f67e60cc06a4922a61754cb899f0b6530c14ad4af7c429d278cc815

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp39-cp39-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp39-cp39-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 1472d4dc90b9af65c7ebeea846535f507c693411bacfd5ec954ea65454211e19
MD5 4503666c343c5da26cb5323c1d540382
BLAKE2b-256 57b97e5b7bdc602415b2d14e3577dd673327804d59515e62802118746c1bb308

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp38-none-win_amd64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 bbc5e8285bc38b10fba020154f0ba4b0a7af8e5bd95d28a48ff9bedca0a32bbe
MD5 e68cc41092819af8a9f384af0e14e433
BLAKE2b-256 80efc168df382d1f246602366d61b05f2cb9a1ef9a6286502e3fcd449bc9c8a5

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp38-none-win32.whl.

File metadata

  • Download URL: jellyfish-1.0.3-cp38-none-win32.whl
  • Upload date:
  • Size: 206.8 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.3.2

File hashes

Hashes for jellyfish-1.0.3-cp38-none-win32.whl
Algorithm Hash digest
SHA256 70afd781d99e04e9749991a2e5f8c78a0b2fc28076b9e30d7ff71ac421327747
MD5 87c0b252e124d873ae651f3b96e519ed
BLAKE2b-256 fb47025f0915361667d49a4c70a2793e86992945ea5ea8fe1d0017433609fba4

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 6e827f40d976a04502c21d20f8b788ef585f8a04a3c1b8b9b896492b463c5f94
MD5 38fe20603cfa18c7a5e451fe879cd302
BLAKE2b-256 12b1dc520c6887722b66f14ec34564306aae4d99d1b3acd484dabcd9559d82d8

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 488f7174aeb759c92c9deadf393f81b38178f9397690d8692fd319fe943b313f
MD5 ae480125ae8834c1cbf85022b45c2bc1
BLAKE2b-256 139cdb89d0d4ca5ffb4cd0e935b06a1a5df5dd7b9a95825a578bd5ecae87895b

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8909ada3ca12e327b10e46e63b4db7d59a2ebea489dc6d1f7f7569fc89a728cf
MD5 90a12d55eadfd445078e427ff315f6b3
BLAKE2b-256 9a1bafe12d52a7378b94c27eb13111cf90d8196f4289bdc851e50ca438390929

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 bb10db8375fec009fd5880de8158d6c4e43f09333297e53301a4579f526b39a6
MD5 5802a51bfa385b83aa43c9a572dbd497
BLAKE2b-256 3850e37b03582716b946ca5523794d0387014fd568aa74d9abd34578ea19e5c6

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7432c1d5c37563f913537716473b59466d2e8494aaf15bcd80f1778aa87365f2
MD5 048f3c334e63c85490da3ed4db44d50a
BLAKE2b-256 65a330bdf0fa5c6d5139bcf2db1474d771bf622f36f06441ca5b78badd702674

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f56a005e0bbbb45e465904db014e76020edc12ebe042bf5b4705089e14a07480
MD5 530a9533145dc68c293ec065d0b73b8c
BLAKE2b-256 f613a642e80d7cc6152f85ecf74c1aeb9c3380d0a21142b28f435c25e5e17e19

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.3-cp38-cp38-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.3-cp38-cp38-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 b9dc71748365e9de24cca05920d17ef709a31a37c791105e049e37cfbccac3f5
MD5 1cc48d658e024349450317e7f092cb55
BLAKE2b-256 bd09936dd37d79182dc93cc7e86d2dcf5fe1d8076db24848c2cc3a8097e5e415

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