Skip to main content

Leiden is a general algorithm for methods of community detection in large networks.

Project description

Leiden is a general algorithm for methods of community detection in large networks.

Please refer to the documentation for more details.

The source code of this package is hosted at GitHub. Issues and bug reports are welcome at https://github.com/vtraag/leidenalg/issues.

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

leidenalg-0.9.1.tar.gz (4.0 MB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

leidenalg-0.9.1-pp39-pypy39_pp73-win_amd64.whl (103.4 kB view details)

Uploaded PyPyWindows x86-64

leidenalg-0.9.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (299.7 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

leidenalg-0.9.1-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (313.0 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ i686

leidenalg-0.9.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (213.8 kB view details)

Uploaded PyPymacOS 10.9+ x86-64

leidenalg-0.9.1-pp38-pypy38_pp73-win_amd64.whl (103.4 kB view details)

Uploaded PyPyWindows x86-64

leidenalg-0.9.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (299.7 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

leidenalg-0.9.1-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (313.0 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ i686

leidenalg-0.9.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (213.8 kB view details)

Uploaded PyPymacOS 10.9+ x86-64

leidenalg-0.9.1-pp37-pypy37_pp73-win_amd64.whl (103.4 kB view details)

Uploaded PyPyWindows x86-64

leidenalg-0.9.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (301.0 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

leidenalg-0.9.1-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (314.8 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ i686

leidenalg-0.9.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (213.8 kB view details)

Uploaded PyPymacOS 10.9+ x86-64

leidenalg-0.9.1-cp311-cp311-win_amd64.whl (103.4 kB view details)

Uploaded CPython 3.11Windows x86-64

leidenalg-0.9.1-cp311-cp311-win32.whl (91.6 kB view details)

Uploaded CPython 3.11Windows x86

leidenalg-0.9.1-cp311-cp311-musllinux_1_1_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.11musllinux: musl 1.1+ x86-64

leidenalg-0.9.1-cp311-cp311-musllinux_1_1_i686.whl (1.8 MB view details)

Uploaded CPython 3.11musllinux: musl 1.1+ i686

leidenalg-0.9.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

leidenalg-0.9.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (1.3 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ i686

leidenalg-0.9.1-cp311-cp311-macosx_11_0_arm64.whl (202.2 kB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

leidenalg-0.9.1-cp311-cp311-macosx_10_9_x86_64.whl (227.7 kB view details)

Uploaded CPython 3.11macOS 10.9+ x86-64

leidenalg-0.9.1-cp310-cp310-win_amd64.whl (103.4 kB view details)

Uploaded CPython 3.10Windows x86-64

leidenalg-0.9.1-cp310-cp310-win32.whl (91.6 kB view details)

Uploaded CPython 3.10Windows x86

leidenalg-0.9.1-cp310-cp310-musllinux_1_1_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.10musllinux: musl 1.1+ x86-64

leidenalg-0.9.1-cp310-cp310-musllinux_1_1_i686.whl (1.8 MB view details)

Uploaded CPython 3.10musllinux: musl 1.1+ i686

leidenalg-0.9.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

leidenalg-0.9.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (1.3 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ i686

leidenalg-0.9.1-cp310-cp310-macosx_11_0_arm64.whl (202.2 kB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

leidenalg-0.9.1-cp310-cp310-macosx_10_9_x86_64.whl (227.7 kB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

leidenalg-0.9.1-cp39-cp39-win_amd64.whl (103.4 kB view details)

Uploaded CPython 3.9Windows x86-64

leidenalg-0.9.1-cp39-cp39-win32.whl (91.6 kB view details)

Uploaded CPython 3.9Windows x86

leidenalg-0.9.1-cp39-cp39-musllinux_1_1_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.9musllinux: musl 1.1+ x86-64

leidenalg-0.9.1-cp39-cp39-musllinux_1_1_i686.whl (1.8 MB view details)

Uploaded CPython 3.9musllinux: musl 1.1+ i686

leidenalg-0.9.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

leidenalg-0.9.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (1.3 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ i686

leidenalg-0.9.1-cp39-cp39-macosx_11_0_arm64.whl (202.2 kB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

leidenalg-0.9.1-cp39-cp39-macosx_10_9_x86_64.whl (227.7 kB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

leidenalg-0.9.1-cp38-cp38-win_amd64.whl (103.4 kB view details)

Uploaded CPython 3.8Windows x86-64

leidenalg-0.9.1-cp38-cp38-win32.whl (91.6 kB view details)

Uploaded CPython 3.8Windows x86

leidenalg-0.9.1-cp38-cp38-musllinux_1_1_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.8musllinux: musl 1.1+ x86-64

leidenalg-0.9.1-cp38-cp38-musllinux_1_1_i686.whl (1.8 MB view details)

Uploaded CPython 3.8musllinux: musl 1.1+ i686

leidenalg-0.9.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

leidenalg-0.9.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (1.3 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ i686

leidenalg-0.9.1-cp38-cp38-macosx_11_0_arm64.whl (202.1 kB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

leidenalg-0.9.1-cp38-cp38-macosx_10_9_x86_64.whl (227.7 kB view details)

Uploaded CPython 3.8macOS 10.9+ x86-64

leidenalg-0.9.1-cp37-cp37m-win_amd64.whl (103.4 kB view details)

Uploaded CPython 3.7mWindows x86-64

leidenalg-0.9.1-cp37-cp37m-win32.whl (91.6 kB view details)

Uploaded CPython 3.7mWindows x86

leidenalg-0.9.1-cp37-cp37m-musllinux_1_1_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.7mmusllinux: musl 1.1+ x86-64

leidenalg-0.9.1-cp37-cp37m-musllinux_1_1_i686.whl (1.8 MB view details)

Uploaded CPython 3.7mmusllinux: musl 1.1+ i686

leidenalg-0.9.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

leidenalg-0.9.1-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (1.3 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ i686

leidenalg-0.9.1-cp37-cp37m-macosx_10_9_x86_64.whl (227.6 kB view details)

Uploaded CPython 3.7mmacOS 10.9+ x86-64

File details

Details for the file leidenalg-0.9.1.tar.gz.

File metadata

  • Download URL: leidenalg-0.9.1.tar.gz
  • Upload date:
  • Size: 4.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for leidenalg-0.9.1.tar.gz
Algorithm Hash digest
SHA256 7e5cfe3b6f80f32b90f55f35c68d4a990b0489b1282cf3fabac8cda4988975f3
MD5 2e17934fe3e0f8e9b089d59ada40ea04
BLAKE2b-256 bc200e65d671e1a0736fc774342231055a70344fca02744918c5a5751e8f749f

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 d61256c3cb4ad08e54ed4d5d98a9d8badeefcf86fb4f69dff703ecc0af9c4d38
MD5 9b68d5a1455763e7fde34c9ae6ac553d
BLAKE2b-256 bb4c30de455ec80ccdc4aced05ed84750e053c82dec0f97732277da1f7d87d58

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d512592af7143e301f5d960d13d864948c86fe15bc90b21c63e73ba69ac848cd
MD5 13949c4f85bcfb91a4f87f9b9376a30d
BLAKE2b-256 cb2e13060015831d4fcc476bfb31732c46c10c65911f7696d41a4e831e801b2d

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 229c1450688118bce2a16dd696ae1cccd9c68e55542393a3a1bcd377c14d126c
MD5 74bebf6d8a029e6bc1fff5bda6cf8d2b
BLAKE2b-256 39cedb877eb9b5d0cb3c18e13fc3b64cb06b7aab160f849af3bca87667a005c1

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 118778b83e0ab5441b252467544d9ac70385f63cf9b1af4e776e1e9aaa4b9c45
MD5 5e636157f036891d6cffa29475f96918
BLAKE2b-256 53d25ce4ee044d93a09fcdbb92fb4495b408249277c5f23ffed237cd30a40107

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 4e624bf5144daddc879c425542ce78fa9d04489bf321964a4de943b0ff8287ff
MD5 cebb2989ed3276004500366294d088ea
BLAKE2b-256 bc9310b5f5d73410f7c6aa4a5af02f40974d033279cc144f72ccbd52df5a9a3c

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 706f74dc2977e527eb809ead1a62b15d438a95fd615c0eebb185efa97ea1f9fb
MD5 2bc09cdfc0dc26837f19dfb07e999cec
BLAKE2b-256 6bf1e3926206da0417a836b5dc82e74743a439aecb281b77ca32ed8f4e699053

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 68964376c7faaf4e2693c17f5f40f610dbb17e9f177444d652e5e602df18a96a
MD5 4d34978e5ba08a2db5c066bd3d6f123d
BLAKE2b-256 37cb6808c29f4d29eabf0ce8207758b1c2ec12daebf095113ff0862b8704fa11

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 54b4a68ccd412c3d37f231a6931b9619cbd6e63247535879ec6c0834fc19b7d9
MD5 d386f25a86b7aff700e5b35daa1bb4e6
BLAKE2b-256 8b30ddf782ead76029ae99c0b99871edebba446ec33ce0beaab34dfeea2b3264

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-pp37-pypy37_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-pp37-pypy37_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 ba97bdfda32ed661042f235cbfd251411f5ea3a36cda109b8e47a543ba44bb1a
MD5 eb8c1108aa466d9c36df7de8fabce6bb
BLAKE2b-256 4f966f874b606d7e2b9a16f591ff00561bbc21884836a38320164c9ffe3e5507

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3914654677510213231fd2092f51778faa84dd74814626158dfa5bceaf8b4952
MD5 ffd23b1e4da5cfa2d27aaeca392e1a59
BLAKE2b-256 05f7755a463ad4934bddefae86cf75fad265ff0f185f3c547e9fdf4dc26de6d8

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 adc26c986cedfb3174b6a90d9435d75cdd013a1fa147b5ac2a071c8c68bb91cf
MD5 20e83d48e2c73f3f4221e61426067617
BLAKE2b-256 e2e3047290c5a5b6f9f0cb74b0fc241104f75d0141b850b924a3c3e18939760a

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 1b1b3d09a429a557b5c0e661251ac877f6e409a0276cde9ff8c4a0fa438054ee
MD5 6b1aa6103f2ce887e1996c8959b82390
BLAKE2b-256 5b9a81006ca704852b1b56fafa8d576ef75c468862658adf9be802ccd8f8c3df

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: leidenalg-0.9.1-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 103.4 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for leidenalg-0.9.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 6b865ea877f9bae998201c058eb43ea764405e8e81da74e6550d17f9de3cc9d3
MD5 99abab20a45d96fae200a706bf9fc0d6
BLAKE2b-256 658cb71960855e93b34cbfa5038d707cbceb760deb2d9532fb344405cf3aae8a

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp311-cp311-win32.whl.

File metadata

  • Download URL: leidenalg-0.9.1-cp311-cp311-win32.whl
  • Upload date:
  • Size: 91.6 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for leidenalg-0.9.1-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 497f77c1b58dc3ff2a017c8123a9e4001301cba43179fdf48f97a9b6dc5eb155
MD5 9c671d0c1fef7ffe5b03e884592978f8
BLAKE2b-256 48d9a148ca1dd0fd2dcfb312899b18ec18cca6983941fedfe68531f473a5e892

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 8ef1ca6fd0e14a6a093fbd2b8e22b7346c885c8edae7c25c5a7490febaf501a1
MD5 dfcb83d3eb13c70fe5e6705532d5b39d
BLAKE2b-256 ddee97d1ad27ecb543241d805372710f35751b4d460a9de03702371b0659b1a9

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp311-cp311-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-cp311-cp311-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 d5cbdb93d7e57998619a9688e9c07259343d0c7036e08c0c6058a3a125ab19bc
MD5 96526c11673af11324d13224861557d0
BLAKE2b-256 9266a614b65d50461dfe94bba72603ff94ef6380891ef2b3ccbfd3c796765cee

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8ee235d2756498ac55d5cd8eaf9e75f86a387950b6fcba4c5cd3970428732dcb
MD5 822cf6f126a43bec20d0b8f7fbb208d2
BLAKE2b-256 186e3536cfdbda1bb2218af1a6e504368d3cb3a63aad618ab2c27e72a85719fa

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 d21186ed9cf09c52bafe8250921d83f96ab8f2e92e55d9dd44b030084669896f
MD5 e162184ce13d33adc58e6db74aae3eca
BLAKE2b-256 55b270ff5e0cd6abfc9a3aba6e406dcfdf8df7b5abb8b8848025a9e8767afb8a

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 241251abda73c35aaf5c678164588968c231b3ff1ef8ea209ca00dc96acb1855
MD5 84da40da2d13a256cb61d872f51dd408
BLAKE2b-256 1a1fc6de517c9ca73c69a9015a260b34cd9a26a588bccb33e96f0126bb47c289

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 fdf19824ed967ba29de8b0ed0450deadf3df2c6a412a0deb53f6a3b0b7641fd1
MD5 d75bfff327875007d6c4c201415576b3
BLAKE2b-256 4a0eac5f8cb82eebe507d3168fb6efb1c2756abab1825b8b990b47e260c28b5d

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: leidenalg-0.9.1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 103.4 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for leidenalg-0.9.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 ee8d3ffaa527c00d546fb8cea0119432a44d3b340d08b41887ad4444b2b537f8
MD5 d718f8d9d4ae711b05ce8a20b2946590
BLAKE2b-256 439f27c6d3e2aae34ce1da1d99ca36647d5a283d4720a9e3bfba3befebe3c72e

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp310-cp310-win32.whl.

File metadata

  • Download URL: leidenalg-0.9.1-cp310-cp310-win32.whl
  • Upload date:
  • Size: 91.6 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for leidenalg-0.9.1-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 726a65fe5ecff8cad6c926622893a3b902c14b56fad7bb11e6bb544fc8582247
MD5 38f1d6c80f704bee20153c6e2924d57b
BLAKE2b-256 92919d1b0d9ba516d30927f50378845f225a981645842218260d219ce01583c6

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 f31e08f8249fc7147851006f2766537deab829da423ebbd7e6edf74ddcee0ab6
MD5 211802805f7a63c7d9cf3a47601991de
BLAKE2b-256 9ae3ac936b924ae9873f4364a63d1085dbfc06b39cb95cf435adbf97a21f5d59

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 d1fab585aaa3769ee7d42364ab7d52d757e50fc156166c87383ecfa2d59f1a27
MD5 da589e8eb140f053e42773cb55bda3d0
BLAKE2b-256 af1adcb2043f62194491819784e18d910798b8f5e05c8af88b30a72fcb7cb857

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9c66c0d53172b58d46b39df753144d5e9b663662aebb066d48816c774b5e77fa
MD5 1889047a4945df4278ed033056de41b6
BLAKE2b-256 05cda44b8b90b10f9281e1efbe5b999c397db44dac9a58594ba601a93d20bc84

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 bfc03a6053fdc5705d9a38360d3b4c7f6c21b69ed6af3d6e95f1f028a6299e97
MD5 cdcd2441dae373fb3a425b52cfd9f292
BLAKE2b-256 0514a83025cf99b3e09bc37c457d474c503d1200eb4fca65371c77f5c0495ea5

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 887b17ead6f270a3f94b8d4b2f81066f77036133f53f1bb547cbd64cce07c015
MD5 436e00b1c6860e6adab2486d9b52bd42
BLAKE2b-256 a18af3859fa70cc9a7b4b9fb421fcc4e9c4d0162d6b3eacf8d91424dca0e0622

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 0e156e5d505af9164ca854819e69331b869efbd34b9b3b6be86950e3e1efbdd0
MD5 5051c8335a78ede9658296f96adc0ffe
BLAKE2b-256 dc12fb749e69a7f4f3d4f3b20228426a33425e97d6babb551dbc91e6b2d93d1c

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: leidenalg-0.9.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 103.4 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for leidenalg-0.9.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 1325a8a5bb9e664e2d5e8d0c4d77294734518799874be685c72ac981e920db65
MD5 8805c79f77ce1722c7b2d009ccb2ecb2
BLAKE2b-256 21ca6e6ca7987e3470e0d5397d2b096229d18752278ae9cc88990cf614797f34

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp39-cp39-win32.whl.

File metadata

  • Download URL: leidenalg-0.9.1-cp39-cp39-win32.whl
  • Upload date:
  • Size: 91.6 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for leidenalg-0.9.1-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 fe2cec1a7f16c5c9650a87459cf882239de324edcbe3865fc9df5e48b3b5dfd9
MD5 4498a7f602e1e93b8c767882a6ee03d6
BLAKE2b-256 69a565f77b76501b2d2fede46576a0f31943171ffe51db78a433f82a08756b95

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 23b0f6d8117c9507c6f3cd1a712808f737a749dae39a26ef4f3bcafcc35cfa53
MD5 9d7aa617ac5b064d710620a0fef38d77
BLAKE2b-256 a651db51385e0e6135aac5a592194a407fc705e9cbe2bea2e161215bc5a175d6

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 4648ce7e0d964195ce27524be254313ed84999b1f22638bc82081e1509511da9
MD5 04bf91fff080320c3af8ba327f74099b
BLAKE2b-256 46c77ced27adb6ccd77971e1c6421beeea920c075722b81358c1112d4bc6d6b7

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e02e38c29275f876999e9db062c7e6b7b176eb58b1666fccdbfc95ab6916736c
MD5 368840db4ecf4983cad4e4f99caefaa8
BLAKE2b-256 c18eb9f2700a784cc7055ee37a18b6fba1a3096c174ee0c113bc115670016a40

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 ee18061fdc555940ea9b3cd7b7b9d37d5e6c10c864187b952b5918c1b69aa678
MD5 620ea7b4c5ac4821db84a3104fd5b278
BLAKE2b-256 841182cc0483d889251152837d8e4c2e68c89074e10e2d287bb4e17f17e3740d

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 683ccb6b1fb6abf6b41b295cbddad0837973378b1add9aab8241f9da3741b735
MD5 ae4c84446d7e10cfb0b88909065c8732
BLAKE2b-256 04e205b332a2ff878f9b230010500a742008f43818b3c165d5d2027467b47d85

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 80719d68ad279edc2ce2177680d4f228cad263be34f4572cc48c647a7651f191
MD5 97f96aa58674b98d5332850b64e5668f
BLAKE2b-256 44ced780b117ac71e29f788273de64a4640e37f65297b04f37bae3534f4103a9

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: leidenalg-0.9.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 103.4 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for leidenalg-0.9.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 c4da689ae3d2ddb5bcde2c7e205a8892d8e08a11b6287362e51d64cf599f2161
MD5 75955831786fc26927114a1d1e423620
BLAKE2b-256 14b41c4f200440c943b1eaa4546c19919060daf5fdf34d30e8bb7c4419a6ee00

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp38-cp38-win32.whl.

File metadata

  • Download URL: leidenalg-0.9.1-cp38-cp38-win32.whl
  • Upload date:
  • Size: 91.6 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for leidenalg-0.9.1-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 1786c51cd5a662b9ccd6d43df4b9740377c29fb56325597d8d0e33b82d47cd71
MD5 3e1abb2bcb8a9b16ca7c496f55aa82da
BLAKE2b-256 3b421d452ce7bfe5ecc3a66a42cb5ea17759069efcaff0205120530dd89e6b3b

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 8cd26aa6d907d4615cb7b5e0d46035c5f3b56f3a6ce1ba4ae212db0601fc95ac
MD5 8dc8ba7901a20365ed8769c5b7684801
BLAKE2b-256 89a77e8a2edaeef663068a68918d90bd58f6b1ca83c958d22b580e29f70e37bb

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 5daad6061947b474726f01aae1a8b6f30c310488c5d0cd704b6e2e8d07f669bb
MD5 dc8ddf0265e39fef051c102f2961747d
BLAKE2b-256 fb9cd665c64763151f9ba59d58220dd8160f4ca660c2cf7b7925a8e231bd748c

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 36a208752583b1baad2403ddf69454c18aebb7a8dcfdedaa7216a35edbf5cd70
MD5 6d41ef294e2d8a030771c1a91dabb97a
BLAKE2b-256 35e6551977383ded15409763e80deff08b96475676ba4e89bf8ff562f31dceb0

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 d78061038a3e6b0d6508de3f2dabd3c1d77b00ab04c86b68a0a499b229288eff
MD5 3f8d9d9024f3e07edad90cab769194e4
BLAKE2b-256 955de8603fbe7c3246113919e7b94bca915fb502f08bb352cf5e0dc3e837e406

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 16e7be487b359640f2a24bb83a222b3186ca84d7665e506957ee4a6e0ca619a6
MD5 b39b4566d7c31ac1ec52a1bb12931a6c
BLAKE2b-256 2d065b6ba5c0787f2cfd8e98d8fe2cef62ce8e39a1fd598a976c9867ed5fc483

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 3653abc9cc74ead7ec29a710bd8ca737867ee71fdc98cb108c396011727b2339
MD5 383eb237ac3fb0080fc0fb1f9376f55a
BLAKE2b-256 72a65d9df066eb826f75990c0eb6bd206481176023177ca953773e011541016c

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: leidenalg-0.9.1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 103.4 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for leidenalg-0.9.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 d8683d56d9cb780ab05f49d49eb32af74e67414837fbeb5f8ac1b0e91bb9424a
MD5 aabf4d2db4a9bdd1ec4331b7e8a35a07
BLAKE2b-256 a8fb7e69985aa4f94770e5d335cc079225e193bec697c28c49cb4ff5281680f4

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp37-cp37m-win32.whl.

File metadata

  • Download URL: leidenalg-0.9.1-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 91.6 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for leidenalg-0.9.1-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 387d79284f1804c5dd54e6735549f5cf1b617d80090a3ac02119f6c8120e0858
MD5 4d5478d7dd1c4277e0fdc85db677dcf5
BLAKE2b-256 ec3b05d370b3123d9ef106258f221cbac1e2f76f6e08e668b16e303b0e90b61e

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 28d6610d9e81453ae13a71077f0a71ad32afc1cbfdbd3415db60bb12210acb6c
MD5 8145f77bc85f009c19f172339b43a67a
BLAKE2b-256 db54dd611d58f8341d4c3a479020a876fbe7112d8ab10f424f327f3499e264bb

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp37-cp37m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 4ebd212194fdc286d1c196ccf916edb1643cd456e1027d0ac84f34281ba78643
MD5 0e0b5c1bda2573f6e86fbe2c6ba66fa1
BLAKE2b-256 9d74e4d8f7343fa969817feebbed2eff630d2f52e24509179c5ce7791318a566

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 18f5e8038b919b681e3696c5079450df58f27f847a0672829bf52fade7a73429
MD5 0ce82ae54d24bebfa4a76fd6ffd375fb
BLAKE2b-256 1584fa54af41a3f799616d51beb8cdb95c2603744a4686fa3be04486a4e85374

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 22771a47bd17049c070a5fcca43452e120d705c6c59c62118f2bb39e79f5649c
MD5 027ea00da8ae9cf5f231cf65f562b2b9
BLAKE2b-256 939255c6586ac452b1af59ecdafc22f573505cde62d7e05276dfae106580a28b

See more details on using hashes here.

File details

Details for the file leidenalg-0.9.1-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for leidenalg-0.9.1-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 5edc7dc49983a452d67c8d81f71640ccf8f55037bf407b408b08d330646d6006
MD5 3e250fbbd1a99dfefe652aa352d93448
BLAKE2b-256 333dcec5aa46a7d6bd189e91b30a052929cc7c6318fca8cc4991a1340daa3b80

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page