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-1.0.4.tar.gz (364.0 kB view details)

Uploaded Source

Built Distributions

jellyfish-1.0.4-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl (1.3 MB view details)

Uploaded PyPy musllinux: musl 1.1+ x86-64

jellyfish-1.0.4-pp310-pypy310_pp73-musllinux_1_1_i686.whl (1.3 MB view details)

Uploaded PyPy musllinux: musl 1.1+ i686

jellyfish-1.0.4-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl (1.3 MB view details)

Uploaded PyPy musllinux: musl 1.1+ ARM64

jellyfish-1.0.4-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

jellyfish-1.0.4-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.1 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

jellyfish-1.0.4-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.1 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

jellyfish-1.0.4-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl (1.3 MB view details)

Uploaded PyPy musllinux: musl 1.1+ x86-64

jellyfish-1.0.4-pp39-pypy39_pp73-musllinux_1_1_i686.whl (1.3 MB view details)

Uploaded PyPy musllinux: musl 1.1+ i686

jellyfish-1.0.4-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl (1.3 MB view details)

Uploaded PyPy musllinux: musl 1.1+ ARM64

jellyfish-1.0.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

jellyfish-1.0.4-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.1 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

jellyfish-1.0.4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.1 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

jellyfish-1.0.4-pp39-pypy39_pp73-macosx_11_0_arm64.whl (315.0 kB view details)

Uploaded PyPy macOS 11.0+ ARM64

jellyfish-1.0.4-pp39-pypy39_pp73-macosx_10_12_x86_64.whl (317.4 kB view details)

Uploaded PyPy macOS 10.12+ x86-64

jellyfish-1.0.4-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl (1.3 MB view details)

Uploaded PyPy musllinux: musl 1.1+ x86-64

jellyfish-1.0.4-pp38-pypy38_pp73-musllinux_1_1_i686.whl (1.3 MB view details)

Uploaded PyPy musllinux: musl 1.1+ i686

jellyfish-1.0.4-pp38-pypy38_pp73-musllinux_1_1_aarch64.whl (1.3 MB view details)

Uploaded PyPy musllinux: musl 1.1+ ARM64

jellyfish-1.0.4-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

jellyfish-1.0.4-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.1 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

jellyfish-1.0.4-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.1 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

jellyfish-1.0.4-pp38-pypy38_pp73-macosx_11_0_arm64.whl (315.1 kB view details)

Uploaded PyPy macOS 11.0+ ARM64

jellyfish-1.0.4-pp38-pypy38_pp73-macosx_10_12_x86_64.whl (317.7 kB view details)

Uploaded PyPy macOS 10.12+ x86-64

jellyfish-1.0.4-cp312-none-win_amd64.whl (206.2 kB view details)

Uploaded CPython 3.12 Windows x86-64

jellyfish-1.0.4-cp312-none-win32.whl (202.6 kB view details)

Uploaded CPython 3.12 Windows x86

jellyfish-1.0.4-cp312-cp312-musllinux_1_1_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.1+ x86-64

jellyfish-1.0.4-cp312-cp312-musllinux_1_1_i686.whl (1.3 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.1+ i686

jellyfish-1.0.4-cp312-cp312-musllinux_1_1_aarch64.whl (1.3 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.1+ ARM64

jellyfish-1.0.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

jellyfish-1.0.4-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.1 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARMv7l

jellyfish-1.0.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.1 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

jellyfish-1.0.4-cp312-cp312-macosx_11_0_arm64.whl (314.4 kB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

jellyfish-1.0.4-cp312-cp312-macosx_10_12_x86_64.whl (316.6 kB view details)

Uploaded CPython 3.12 macOS 10.12+ x86-64

jellyfish-1.0.4-cp311-none-win_amd64.whl (206.7 kB view details)

Uploaded CPython 3.11 Windows x86-64

jellyfish-1.0.4-cp311-none-win32.whl (203.1 kB view details)

Uploaded CPython 3.11 Windows x86

jellyfish-1.0.4-cp311-cp311-musllinux_1_1_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ x86-64

jellyfish-1.0.4-cp311-cp311-musllinux_1_1_i686.whl (1.3 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ i686

jellyfish-1.0.4-cp311-cp311-musllinux_1_1_aarch64.whl (1.3 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ ARM64

jellyfish-1.0.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

jellyfish-1.0.4-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.1 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARMv7l

jellyfish-1.0.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.1 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

jellyfish-1.0.4-cp311-cp311-macosx_11_0_arm64.whl (315.1 kB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

jellyfish-1.0.4-cp311-cp311-macosx_10_12_x86_64.whl (317.5 kB view details)

Uploaded CPython 3.11 macOS 10.12+ x86-64

jellyfish-1.0.4-cp310-none-win_amd64.whl (206.7 kB view details)

Uploaded CPython 3.10 Windows x86-64

jellyfish-1.0.4-cp310-none-win32.whl (203.1 kB view details)

Uploaded CPython 3.10 Windows x86

jellyfish-1.0.4-cp310-cp310-musllinux_1_1_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

jellyfish-1.0.4-cp310-cp310-musllinux_1_1_i686.whl (1.3 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ i686

jellyfish-1.0.4-cp310-cp310-musllinux_1_1_aarch64.whl (1.3 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ ARM64

jellyfish-1.0.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

jellyfish-1.0.4-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.1 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARMv7l

jellyfish-1.0.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.1 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

jellyfish-1.0.4-cp310-cp310-macosx_11_0_arm64.whl (315.1 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

jellyfish-1.0.4-cp310-cp310-macosx_10_12_x86_64.whl (317.4 kB view details)

Uploaded CPython 3.10 macOS 10.12+ x86-64

jellyfish-1.0.4-cp39-none-win_amd64.whl (206.7 kB view details)

Uploaded CPython 3.9 Windows x86-64

jellyfish-1.0.4-cp39-none-win32.whl (203.2 kB view details)

Uploaded CPython 3.9 Windows x86

jellyfish-1.0.4-cp39-cp39-musllinux_1_1_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

jellyfish-1.0.4-cp39-cp39-musllinux_1_1_i686.whl (1.3 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ i686

jellyfish-1.0.4-cp39-cp39-musllinux_1_1_aarch64.whl (1.3 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ ARM64

jellyfish-1.0.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

jellyfish-1.0.4-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.1 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARMv7l

jellyfish-1.0.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.1 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

jellyfish-1.0.4-cp39-cp39-macosx_11_0_arm64.whl (315.1 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

jellyfish-1.0.4-cp39-cp39-macosx_10_12_x86_64.whl (317.3 kB view details)

Uploaded CPython 3.9 macOS 10.12+ x86-64

jellyfish-1.0.4-cp38-none-win_amd64.whl (206.5 kB view details)

Uploaded CPython 3.8 Windows x86-64

jellyfish-1.0.4-cp38-none-win32.whl (203.0 kB view details)

Uploaded CPython 3.8 Windows x86

jellyfish-1.0.4-cp38-cp38-musllinux_1_1_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

jellyfish-1.0.4-cp38-cp38-musllinux_1_1_i686.whl (1.3 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ i686

jellyfish-1.0.4-cp38-cp38-musllinux_1_1_aarch64.whl (1.3 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ ARM64

jellyfish-1.0.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

jellyfish-1.0.4-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.1 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARMv7l

jellyfish-1.0.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.1 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

jellyfish-1.0.4-cp38-cp38-macosx_11_0_arm64.whl (314.8 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

jellyfish-1.0.4-cp38-cp38-macosx_10_12_x86_64.whl (317.3 kB view details)

Uploaded CPython 3.8 macOS 10.12+ x86-64

File details

Details for the file jellyfish-1.0.4.tar.gz.

File metadata

  • Download URL: jellyfish-1.0.4.tar.gz
  • Upload date:
  • Size: 364.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.5.1

File hashes

Hashes for jellyfish-1.0.4.tar.gz
Algorithm Hash digest
SHA256 72aabb3bedd513cdd20712242fd51173b59972c0b146b7a0b9c6f32f1656293f
MD5 22f455715f501202b7fbf678ca97eb31
BLAKE2b-256 cd685e295b66e96675fd32e6cb71b26e71fe3c45d9279dc64c3a20f00c174135

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 4de7c4e7245a2fa9d24bb75dd66aaf77b3521b2377883af0b6008740024ce598
MD5 fbc88b4b0c7d178476cf427985bf117c
BLAKE2b-256 554935f0cee6e8c7073a125c8e8b8798b8872e6c86478e1ac827e2059b9f7a87

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-pp310-pypy310_pp73-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-pp310-pypy310_pp73-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 f5bc5e05616155306756abe2afda23caefb766b59c849d88285f67bcdcf5a5bb
MD5 81d57760e3d6624bb20d5e70aefce253
BLAKE2b-256 c3d2fb4a81a9ff0135f73f471d15b1db04f9c98c61cc88db0256273b49457454

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 f581b0184ce7a000f38941b2c81a4480b5fd52cdeb5672f9f682d9e3adb8db84
MD5 e4d8b0179922ff4d889d911317a88764
BLAKE2b-256 d94cda1020ecd9af5a9927ac4f1c51671f5dc24529f3ab82119b66b4bbf58554

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 17c7822dcb9e70b682604941852f6bba78b047b60d41d2df0e6a75a5d2b1bb78
MD5 b56badc2c2521df0c79e3a9f2ef61ad7
BLAKE2b-256 c7eb398956649ac7eb9a4c45fe49505cc6978877c7c4b580934123d64fa868de

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 f5af807b15db3c7d08c30911fbe82266ff1089f28ba5a682e87e3145943936cd
MD5 920e8060a6314dfcaa4c6f7480808df8
BLAKE2b-256 94bffa99ed6bc7d9f8472c7e0c5e1d186277682014a8779426addb9806fc91dd

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 89f6db50049492c49b622e8e8c04c5494d4c96c92f0ae573288eefb809d60d1f
MD5 129d3bf82d74c63d90c32aa7dc083cf6
BLAKE2b-256 e25f277473a9d362c672b5ac370ce64cd4d328f88cbf53d3d07e6980b5237e2f

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 a4b717a510e64773c4f882b373d4aeda7d2b2b8ffae87c16a906426b7cd02d55
MD5 61adc2627ed05e59e62eea3fe96972f6
BLAKE2b-256 369a7727a067fde2584c3fa81ebef49f2c91c98583c949d0b609a36a26225abd

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-pp39-pypy39_pp73-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-pp39-pypy39_pp73-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 d88f47c5c3d97f40b4aa42b83d7ca03707bd6bebd945c9532da6e25515bbeea4
MD5 07fc5215118505eec4efb9e5b97cfae8
BLAKE2b-256 8f5d4acb01d11f2cbbf6d593a14735fb51d8d1a89922aa0c35e98e2410c55103

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 83e3c4b446da02926b382f8eb8b931e266927e82162adf4c57f0c55c2bf95b35
MD5 6d677576550b5f5ee1acb3fd59f03eba
BLAKE2b-256 c7c973d5b574c366596902546a3bf881e98bc87a47c73e65ca32a83e649fb522

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8eaa4f2cf78f34cfd41270968954b3bc1eed433b6e7d124786b8064021c110a5
MD5 5872acc298d2b192fdd552c20c38fe84
BLAKE2b-256 1861f74e8c3faeb683377531ec27abca06bd4b8cdfae0ca0a24622edc6ca025f

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 07e10f5ab014a626048ff7cd78a6a52c81845f89d94902371278c4be66d91909
MD5 fb5e44e804c96b715bdb2a397131958e
BLAKE2b-256 f1faf85f7b32c21419515110245cdf4ab7307bb0b45719d20d27ee6e62cd6b4f

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 6285981622d31c11994f2abcd0d35ec7661cba842538e59bfb735fbedf7b6531
MD5 759fcbb3710b986806dfd6744dd65c52
BLAKE2b-256 fb871091ed88e08121760210921f680c3e257457ea091f26539764c25fd36659

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-pp39-pypy39_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-pp39-pypy39_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 2cc0a11166cb1cea0700585de63fa46252a5efa46bc31bc4d869b71e3c666ded
MD5 445bb380de72af3a12f2c2b2667b1f2d
BLAKE2b-256 90548e727a69dec0d5e5816ef829b123f6641fe526aaf2a93ec2c9065113254a

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-pp39-pypy39_pp73-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-pp39-pypy39_pp73-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 d9552ac0478d3015f93161e7d7e1a388b3204fac2a1a22aaf30d67c3670eb6f2
MD5 01c7e380f416d40c8b34042a7b5ac80d
BLAKE2b-256 d878b9fd1cd0a5cdacf8cceca556bcc5da42d90f89efcec7db73c312f515594f

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 3ee641c1c68e0458cac4b9c8c4432d535de1bdd66e8514e541939094622b55cc
MD5 690d11c63889b192ac9235f6d4c72712
BLAKE2b-256 50cda2dafac717a27e24845b6f4d0043cda8d53e8559540d6e73985043c4ef75

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-pp38-pypy38_pp73-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-pp38-pypy38_pp73-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 209ccfbc135d150f6af2db9d3c13764f690aa6196fb74ecffd5394c367ed4938
MD5 460f24c275a0359aa8c95af4d369ffd6
BLAKE2b-256 7f9fa7654f8bf75bcd3e7d9845e72c23c09abbb6fe3b37c9c83875e191cf3b1d

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-pp38-pypy38_pp73-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-pp38-pypy38_pp73-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 c54255f79a5d00a8261c48e75b483bf1ba2aa87655bd69d4cff805eab758c0f4
MD5 9845b4f8ce38b381c1219e48043cc262
BLAKE2b-256 0dc158de94c396ba8874a1d2ad8c910cfe3883bfa71503e17354d50a89ab6464

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e9f9d82531af35123632bd02a4394c8783a6f81d89b5c1711bd4c1a6c800a8dc
MD5 0a70b1bce7faea376c012ccf54ecf384
BLAKE2b-256 603f1f48970153d71c1795a9632276a97e6befb82bb16d680e5b32aed767def1

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 02525584cb1d09f3b5b784685a63ba6e889bce240acef12161d7a6f428ea6c2e
MD5 1e3edb122441f30446796ae40c61c8cf
BLAKE2b-256 efe966ee00e0ffcbeefeb47090048f8aa6928da6f0be4fe9d3216e5ed4078246

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 359aa8c0a55560bd0e6d17e2098b96428d91f066120a708ad889a729801a78b9
MD5 f518c7d80717920300b6ba6ca65fb194
BLAKE2b-256 3714fc57b03b9297d48bada27b28382601b87f23eb32e8d023f1dff062433012

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-pp38-pypy38_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-pp38-pypy38_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 91dc251d02dee6686a1dc31a30a0ea7d8f49781556272b1044cb1a942db75a40
MD5 b2aebd6aa117111687a2323e81eee03b
BLAKE2b-256 a40094778c4ab2edea450ce40ca9ef9920b7887ea2b407162b6ac34be8a5772f

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-pp38-pypy38_pp73-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-pp38-pypy38_pp73-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 e94d594b4b4902a5278346852227f9be281a4aa61907ecd00091451bce8279be
MD5 64185ee54789266b867bda5a487b0c5d
BLAKE2b-256 1e3fa3f678f2b78b582774e228b5d187432cddbd21ed5f77c38fad258b1a64db

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp312-none-win_amd64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp312-none-win_amd64.whl
Algorithm Hash digest
SHA256 c3addb4eebadd7cd4f6cdbff55a4a28caf2448333131b20661d4ff342f53e8a4
MD5 e8121fd594e1516db12ddb3283e782fa
BLAKE2b-256 45ef27ea92bf73eb663f27608fe4e64d7b077d624f3bb75e9f4a527255b765b7

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp312-none-win32.whl.

File metadata

  • Download URL: jellyfish-1.0.4-cp312-none-win32.whl
  • Upload date:
  • Size: 202.6 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.5.1

File hashes

Hashes for jellyfish-1.0.4-cp312-none-win32.whl
Algorithm Hash digest
SHA256 bd33becfa61956c8ebd12bcb7227d48156d7e4c289780bcccf06e55acde12bf6
MD5 e10f03cf8856d1cbdb2948dc87c01ddc
BLAKE2b-256 239502ab81c4ea33555d7d5f050667d5fe05201cd91376b9af7182d865e84edc

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp312-cp312-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp312-cp312-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 967723d8a1321327b3d6e9eada2db95659ff27ab6de8bb8dc82eefe1ce993333
MD5 159c9b4982974d6833c102e6b6883bff
BLAKE2b-256 e714dcbad59f3b57dab678c2ba6fc6adcb42b4d07dcb91a5758463b338cd7759

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp312-cp312-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp312-cp312-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 642dde8453ae45235c377ad3ce6cc990bf90fe9c4222896ab3f0f6c5609089a4
MD5 afaadd7552fb74b9d00902af587c0ce2
BLAKE2b-256 907d06bf2d3ded5afea865201d10c0abcb484f85264fe1219fc58f7f0e90db48

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp312-cp312-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp312-cp312-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 069d406850c68a43513a4ddbbf4191e83a2b8fb08119d708086a21c2cf6c406e
MD5 d4e21ef0d24af31c6b0c661186e1e9c4
BLAKE2b-256 a5d5a7e9794d2cc3eeaa78de3afd7a03a6a980ac4304498ad0ab1418429ad869

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 66c7c6113565bcd3771882ff1c6a31573ef3ce755f882e1bf27b233c44a24f35
MD5 d0d3ea8e82d539cb1c535db907df7d5a
BLAKE2b-256 b9af46c339497a0cb6f28c5f72fb20c7cb42a7e9a0e65338559bbaf294ceb7f2

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 015997043c3eecbf686a71838028180d885f0dc4f7e99daf7194e1787ecd5909
MD5 4c7a13a730959fe41b5dd8309a4206bc
BLAKE2b-256 7667ab88ff64b320918c29b47085831168768e22064fdb0c9e69e81ee378edd5

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 76b7936b69687d788aabb86875c0780d6a77dbac9d1738503b0091af744ff79b
MD5 99b184648dbfdbf975e0fc048b0bb18e
BLAKE2b-256 81068839084953d8cd5ce01bf5567ed1a1640651058d043817b827f99f00d176

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 535a7e99c2b6d456b06d160c950379f18cb72effeb856069eae5d024e09b4afd
MD5 81a5401515ce8033c4756881e2842acc
BLAKE2b-256 4bdb6ec30c818b6c13b3d961f03a2480171097360b98d47a5ec700147bdf9bbe

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp312-cp312-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp312-cp312-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 81f68a8ba074ef3630fab6e635d542708c6e7b5c504a546257b796835b28a5d5
MD5 f6185be48ecfc9a794b5a514cd5e23e2
BLAKE2b-256 66a658ef8181cceb314860d78d897c8e45a42a9158fb73292082af1f364545f1

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp311-none-win_amd64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 1d42fdf67a34a346d906b0ab8d56db9cc68bf6497382650d4581ec0fc8eef342
MD5 a5108846aa7fd51da09c6873c40ce8df
BLAKE2b-256 99b1be97f6c8e49844b2999ca4577cef8e59f3628860a1f83051bc8ffa217097

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp311-none-win32.whl.

File metadata

  • Download URL: jellyfish-1.0.4-cp311-none-win32.whl
  • Upload date:
  • Size: 203.1 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.5.1

File hashes

Hashes for jellyfish-1.0.4-cp311-none-win32.whl
Algorithm Hash digest
SHA256 4a47daa243798db689f8b1f3e6c811032075fd434e2af9dfea35a1553152e34e
MD5 44bccfe8c47a14bd74dffb1980c9af7f
BLAKE2b-256 eb3f1f50feb1cb31546dbf84de7ce44e0f068ba0376b9fa0f69b6b19849b5f28

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 1529a9f1627acffda79ab490ca3f67d35ee1e15c2d30b3f9f93be895b212c4c5
MD5 3d3ddf4420fa7df2b97c49f757407590
BLAKE2b-256 c6b11cd1a356c5d71888ea658f7ccd235067c821dd22276d3f545b17a64417ec

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp311-cp311-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp311-cp311-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 47b0914f375be24976f26ff1436f22dc9fa1ecf9513dbe7ebbee6af5f85409a2
MD5 cca9f5f1742567bcf8dddc2d86e637a7
BLAKE2b-256 3f0d4b6ce7fdcbe255ba6b582df1363b2b9f25360147a0ba58d9b21240e8582a

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp311-cp311-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp311-cp311-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 896552560dcba125db074b980ccc17e123e9444593b272edb82254e4b30f0bd1
MD5 94acc4a4c6999e892a786edda8e1da7c
BLAKE2b-256 cbe26954983064bbcbb038d7b68d1bb3536e5c72863b9b684f6028384504b1c6

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 90384f8b4446a84682bb18051cdc17a069963fff1d0af03ccd2b044b62af6d44
MD5 f1677f027d264256ff588479912e8716
BLAKE2b-256 688717f9773cca5acea8eb5f8ddcf8c2bca299d8ee8f3533d79ffb3d7479b10e

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 b1457d3de969f652d6396cb0329cae3f8d75e0851b335f106624bc991c63c80b
MD5 4c70b09d80c0c8ac796024b2d6131ce1
BLAKE2b-256 c60a7d733385c460b33072c296b8c80be41b11aca9b811aa9bda508333a9250c

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 6ceba547f96de1f58d29f87c816aab4ec02cbeb6606a48fcad1dcf35c1f06042
MD5 fd4f47c4036fe7a491bd3792120c9f79
BLAKE2b-256 f8a0f91e0e0a82fbbea5b546105530d2137092965fba600851261645733af8e4

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 0d60ab87c542659bd71ed952fbc9c4186293e49016dd92ca79156fee6574a17d
MD5 f615f4aedfc6a2dad583b665f4d72b11
BLAKE2b-256 f16bd0f26bdc16cbbd91390476dfbb4b8f9aa0ecbbff4cbd637d9352b9b45a1c

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp311-cp311-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp311-cp311-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 1561cd0d1687113a5b1e4c4f0e1ab373fbc851af0c9c769a486f94f9ede27cd5
MD5 0ba5fe01c9e01218a73c1b3b541a97d4
BLAKE2b-256 5849bd64d2f0573704f007a634bb90d4b0298388287386b29f0c9a8290df3e34

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp310-none-win_amd64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 5b87fca57f6240fe4658810587a0ff49f261a6a49943ad003bbc109c358cec2e
MD5 21f487153ac40ffc776e9d47e638ab14
BLAKE2b-256 7e4ce3187f031e3fb0e89db71969894e7448f9be7bfa1988be678cc7c510771f

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp310-none-win32.whl.

File metadata

  • Download URL: jellyfish-1.0.4-cp310-none-win32.whl
  • Upload date:
  • Size: 203.1 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.5.1

File hashes

Hashes for jellyfish-1.0.4-cp310-none-win32.whl
Algorithm Hash digest
SHA256 169634dc62f7bb9b93c03d3d7b5da327426023d47d58bd8b424c61aaaa33085c
MD5 ab68ad9dd83bafaf8a910d99f5aeef77
BLAKE2b-256 7a8d7a7f4d74c544e839e224e2e406f0cd273055905e2ca41e1f6e41501571c9

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 1830f125dc2f41babd0101b2d67a325972f79e991af1e0a135d9efe2c890bbbc
MD5 958b9fc5d63364c9527c70eba41437a9
BLAKE2b-256 acb580f50244c7981bebfc063a8f587922987ca149f7dae8c6b5f2a0205432e8

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 0459f8dc1d63a165f3848ed9f756107cff0d4990e3dffbaed839228073b628b7
MD5 ba4b6767c183615b9409b8655511c1f0
BLAKE2b-256 cb00c55dc90975cdcba8dd4fb5767d7370e57167f74bf782708ca66947fe9011

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp310-cp310-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp310-cp310-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 30ccf4b1e6a6f9a54f60250f5d65898746186b93aceebfd0dc7159cbe5554db3
MD5 17d338b7691dcfb9294eba0e31030386
BLAKE2b-256 53013e0c64d70abb5d569764d0dad2044444ff34e5a8728dae11a1c2e896daf7

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 481689f6e1a695ddf44b7fe9250d0f86839d98ab5418115d8e52886d488fd259
MD5 e208d3bbf0fac33cde3bfc1d234ada86
BLAKE2b-256 37fbd28af418071ba03b864efa854fa075fc68009a51cd5b7fda31f134a79581

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 ffe094f4d5b1de72ed1e8bb3e729ada8915f096bc04c344aabb4327a669f272e
MD5 d10b304410b7a6637442d181291ba8a0
BLAKE2b-256 ff6ca3a3d9066f18ddbe5cecc60f631e670e9f248b88ee3636c7c71022a82333

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a001b0794aa84bcab311f6019289904ddf417b47ffe2b4796b41a8314bae3c1c
MD5 9c24ddc8d9ffeb5a3c234ce9ad022b44
BLAKE2b-256 752abb47d71dcdd73ebb0b9bf6a27fb544b3855c3fc21defe4ce6bab56b60873

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 3c915ce23a518d2289c63a502064bf970b9748d9e4164e21e36ebba40c07ad37
MD5 dad739e0dcd6bdd476bd6ae9276735ad
BLAKE2b-256 c7537ea1f633f3be63e0d6fab080debb1b1fc74d713f190715ea4335a561bd45

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp310-cp310-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp310-cp310-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 f2cfa648575d1e8197cd61a1936929913916173aee8ee66210eb6a08b1a2fa11
MD5 f6ab94b05fb0d3db9a0fe5db54c48fa8
BLAKE2b-256 39494a71fd03843a17f7260ad67c915a82a6c30958db0424069990477dff3387

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp39-none-win_amd64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 73e0789d20eda3923a6531693aca1ca6231bec12b9b7c6d7c2ed37b1889f40c1
MD5 093efbd3d3c9c43dd5ecab7dadffdc79
BLAKE2b-256 862f1049980deb8f374151d1f98e0f389014a4c0c23be2a737ddc12ee3548d84

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp39-none-win32.whl.

File metadata

  • Download URL: jellyfish-1.0.4-cp39-none-win32.whl
  • Upload date:
  • Size: 203.2 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.5.1

File hashes

Hashes for jellyfish-1.0.4-cp39-none-win32.whl
Algorithm Hash digest
SHA256 ce7a7c6ab717d7b8961d234a60c0e12f80a24b4b0ec213a2272f4cdba013b5f8
MD5 62c8d3ab4d239956408ed436b5de13ff
BLAKE2b-256 2680609cc4b4e0c996b89d68429e47c38d5fc1996d830ff22a233905ef459291

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 d40c3ebd4a00a55845b5653e4a5a8784a032a68e91ca3713163e446b48168887
MD5 598a6b7b156635064266688b63944780
BLAKE2b-256 d9ea439ebae9fec86ce50ad5323441ff9d56639f42e145ec0fe48ff32e75b928

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 f6f5aaa4f4326feb6754878f3875ee39c5df2e650abe04f9da28c80c3e341728
MD5 ce6a6d733be0d644cdbbe2b786aefc48
BLAKE2b-256 850fb701202f3c06903e55d90fc4a3dcf28db976b38537c8781f57ad13c8b1f8

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp39-cp39-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp39-cp39-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 00e23fb1e87c8b99008fe0a9c00f509754cf0e1a74d9a975fc3737790e756679
MD5 dd74424a018d2c730c882d79d5b99bd6
BLAKE2b-256 510a3019025b7fd714ef268c9462f155b19b0851383263a930df539ffcce71ac

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 984e6307ed255224dc38370b953b48e6f13950209d76489ade582dedc66a001a
MD5 af492d2c5061f6205bc7f47c22200e01
BLAKE2b-256 962d0d99fe9381a7c69e57ee8d7b6047d83facea2892a286e239c4b329b46dd5

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 2d443734829b7e38a4e4525cc572e6ff6e0588254ae346a11c976b935efdbc54
MD5 696eced1f9c194daba44da8b7e4d0e2a
BLAKE2b-256 603674ece5744b8e3017ca9ba2cfdb26441fe8c42ec3caf017632e90d08b3807

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e003e5db6607b46d7f1e321628a0a04e8f56adcbdd8aadfb6b61ec6764bc028a
MD5 633610cba461fe028b54961984f91ef9
BLAKE2b-256 aa726023c278d78b99a4b5d80d2d0df8b351d209dd1c689025102fe648be90ad

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a9fd3409238012c3d153b5d3ec5f3fe32648ceb6a86f67d42434f0f5f2447a28
MD5 51694fcd93b18713a42a5d681331be7c
BLAKE2b-256 82c3fdbbb88584731accdc8be711841794b01c904b0a38c671ced2f86eb7794f

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp39-cp39-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp39-cp39-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 651f8c75bf4352427f1160c2b1d9e994862cc86a9ce2106e9c0c2d87e973ca88
MD5 fc41d08ef95d51a9f07ab4dc75b06306
BLAKE2b-256 8214f799b0b1a17e5eef74cc4dbc947e9b321c6cefd8442eae135b42a48bdcda

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp38-none-win_amd64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 27f51df4818fc3eea3ed32c9f50883c011c9e1f972cc2b04cef614d24179f427
MD5 e8eccf27c8c9fa776c996d7d86cbb483
BLAKE2b-256 9a37b723defd1b9d60122b1df204b00268b1c563a26e0170eba8bd9c3b0ee3f8

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp38-none-win32.whl.

File metadata

  • Download URL: jellyfish-1.0.4-cp38-none-win32.whl
  • Upload date:
  • Size: 203.0 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.5.1

File hashes

Hashes for jellyfish-1.0.4-cp38-none-win32.whl
Algorithm Hash digest
SHA256 363562fa5d99bc688a187ede4c05a9e220baf296a450fe1a24e2c02a65d0077c
MD5 5deb7a82dd063854e62e7b4a0b4d767d
BLAKE2b-256 7a7c49f33471ebe3b0bc9445db683048364f16c3662f7f047841bc01c6be2917

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 d78874364780b2a6ec248c3d92fb5343cdc5dadaa552cc564eebe7941678303c
MD5 de49a40fafdea3eb6de5fb53a1420793
BLAKE2b-256 8633741d4228321a39ae0a57a5e1ab20035ea41875ec12cec85ca915269e7cfa

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 c9c713fb0012db4468c2aff8e3a6b6dbd63908563bec0f0ed508d280f0fc4937
MD5 783b1f78af79f9a14891d3d55c96bfae
BLAKE2b-256 b00f059a784cd543cc3d8c05f80797a91c781182ad6523fbfffc329b8198db3d

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp38-cp38-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp38-cp38-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 2c001b7cfb14216108dcc851ac39fb428ed82138dabcd6a20e051a2ec5cd6f9e
MD5 cd5f0606ab5fa4d0a6d4d4398a6485c1
BLAKE2b-256 095f3a3a5f4d48943fe636b25d72a0ee6d15a06dcc7515ade757be800590a886

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 42056f50f5c604132ca50088253122c8a0bdbf8f37959b60f4fd75026396be3c
MD5 80b4500bc7c6ab60de4cd92986052bf5
BLAKE2b-256 85d2186f0033e66134ff41b65ec8429b7ba021d371ece2e777801e0b98ef5f8e

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 5dca33ca59163445c8afdedff7f47d7f27f0a88fabedfde4ea7197698adc6335
MD5 c6344033ff965720ed56af577435710f
BLAKE2b-256 62bbffa4886be406d6896b308fe06faee7a9060d37badcad19c7c251abae802f

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 59f4d263d15d868372c2dcfe12007707d3448a9253a1d912230f213b456ca697
MD5 8aa07f08e14c391fd16895e9d4c1ec5b
BLAKE2b-256 98c5088fc426a5bbfb9c4563f0b9b1aa0eb64f5e6a57230fefa4990b9e6ec7bb

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 44329a7fa570a167144ef20d8d57dff7c59028ecc392cccd9385d23c321aa784
MD5 264ddf23ef75f498e713d481938faa2c
BLAKE2b-256 7f686ce1cbc4804a3d406ed237cda36239983d13b08a84f00cac730063ef2dd6

See more details on using hashes here.

File details

Details for the file jellyfish-1.0.4-cp38-cp38-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for jellyfish-1.0.4-cp38-cp38-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 b365ef28bed2673fffec38775aae36fd9d692ff3e2c6f331ed1898c00cd1f388
MD5 eb95bf20e5d0cf23ef4965dc256e3eeb
BLAKE2b-256 a75d3724fa869dcf786bb3cc6b61a9038a5931df6d0de9b9413c11a34df0c7fe

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