Skip to main content

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

Project description

louvain 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/louvain-igraph/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

louvain-0.7.1.tar.gz (3.7 MB view details)

Uploaded Source

Built Distributions

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

louvain-0.7.1-pp38-pypy38_pp73-win_amd64.whl (156.5 kB view details)

Uploaded PyPyWindows x86-64

louvain-0.7.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

louvain-0.7.1-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl (1.2 MB view details)

Uploaded PyPymanylinux: glibc 2.12+ i686manylinux: glibc 2.17+ i686

louvain-0.7.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (377.4 kB view details)

Uploaded PyPymacOS 10.9+ x86-64

louvain-0.7.1-pp37-pypy37_pp73-win_amd64.whl (156.4 kB view details)

Uploaded PyPyWindows x86-64

louvain-0.7.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

louvain-0.7.1-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl (1.2 MB view details)

Uploaded PyPymanylinux: glibc 2.12+ i686manylinux: glibc 2.17+ i686

louvain-0.7.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (199.8 kB view details)

Uploaded PyPymacOS 10.9+ x86-64

louvain-0.7.1-cp310-cp310-win_amd64.whl (94.4 kB view details)

Uploaded CPython 3.10Windows x86-64

louvain-0.7.1-cp310-cp310-win32.whl (82.9 kB view details)

Uploaded CPython 3.10Windows x86

louvain-0.7.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

louvain-0.7.1-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl (1.0 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.12+ i686manylinux: glibc 2.17+ i686

louvain-0.7.1-cp310-cp310-macosx_10_9_x86_64.whl (210.3 kB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

louvain-0.7.1-cp39-cp39-win_amd64.whl (94.4 kB view details)

Uploaded CPython 3.9Windows x86-64

louvain-0.7.1-cp39-cp39-win32.whl (82.9 kB view details)

Uploaded CPython 3.9Windows x86

louvain-0.7.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

louvain-0.7.1-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl (999.8 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.12+ i686manylinux: glibc 2.17+ i686

louvain-0.7.1-cp39-cp39-macosx_10_9_x86_64.whl (210.3 kB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

louvain-0.7.1-cp38-cp38-win_amd64.whl (94.8 kB view details)

Uploaded CPython 3.8Windows x86-64

louvain-0.7.1-cp38-cp38-win32.whl (83.1 kB view details)

Uploaded CPython 3.8Windows x86

louvain-0.7.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

louvain-0.7.1-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl (998.4 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.12+ i686manylinux: glibc 2.17+ i686

louvain-0.7.1-cp38-cp38-macosx_10_9_x86_64.whl (210.4 kB view details)

Uploaded CPython 3.8macOS 10.9+ x86-64

louvain-0.7.1-cp37-cp37m-win_amd64.whl (94.7 kB view details)

Uploaded CPython 3.7mWindows x86-64

louvain-0.7.1-cp37-cp37m-win32.whl (83.0 kB view details)

Uploaded CPython 3.7mWindows x86

louvain-0.7.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

louvain-0.7.1-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl (997.8 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ i686manylinux: glibc 2.17+ i686

louvain-0.7.1-cp37-cp37m-macosx_10_9_x86_64.whl (210.4 kB view details)

Uploaded CPython 3.7mmacOS 10.9+ x86-64

File details

Details for the file louvain-0.7.1.tar.gz.

File metadata

  • Download URL: louvain-0.7.1.tar.gz
  • Upload date:
  • Size: 3.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for louvain-0.7.1.tar.gz
Algorithm Hash digest
SHA256 3dbb2b36fb4378370b92d6fd51484576f830bf38478ba58bd5e5725015a38990
MD5 b43a6cc1c394735c6461a18d69f421de
BLAKE2b-256 b2918663ec1ecaa2c3fa73a2c851eff3287622ce1952a0da8a5ac115d7782436

See more details on using hashes here.

File details

Details for the file louvain-0.7.1-pp38-pypy38_pp73-win_amd64.whl.

File metadata

  • Download URL: louvain-0.7.1-pp38-pypy38_pp73-win_amd64.whl
  • Upload date:
  • Size: 156.5 kB
  • Tags: PyPy, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for louvain-0.7.1-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 7dc10586dcf7474ccb1f4818fca4869a245d2c8f515a1531c52fc1d233ea9cf4
MD5 a8c63eed2faa3f02c6f66e9d4eb44d54
BLAKE2b-256 b936a08612fe3b489da64eb3aee3082fd6bdaefda60e04eb1325c1a3e22420d6

See more details on using hashes here.

File details

Details for the file louvain-0.7.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for louvain-0.7.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 42f6e09e9d5ad0ea22ef33ffc54a43be1eb5c1eb86872fc750ec583d21069e65
MD5 07be17b6bdef5b875d50c23c8607af80
BLAKE2b-256 ef7775dd705d18f3916103129cc25720d82d7bc09d52920a8d10d4b1a0f99b26

See more details on using hashes here.

File details

Details for the file louvain-0.7.1-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for louvain-0.7.1-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 2f62c66d06225a842172c6f61b24bbc7f659dfefd80fcca5f86eea4d1a451bfc
MD5 bf68abd73de502a567c88fdd0e787872
BLAKE2b-256 683671b71e7943c23dd802920244a317cdab6f99144f862419fe1915d0d5965b

See more details on using hashes here.

File details

Details for the file louvain-0.7.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: louvain-0.7.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 377.4 kB
  • Tags: PyPy, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for louvain-0.7.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 d574a267da732830c90e41879cee9fd3650ead0d07e6629e1cfb8b6c677cfd25
MD5 49794b0c5c3ff8ffa664bb7e5baf3e3d
BLAKE2b-256 c8e92d59c283265f8dbb9dc7343c9a359c5427e90cd53da9705ae94ad6cbfe1d

See more details on using hashes here.

File details

Details for the file louvain-0.7.1-pp37-pypy37_pp73-win_amd64.whl.

File metadata

  • Download URL: louvain-0.7.1-pp37-pypy37_pp73-win_amd64.whl
  • Upload date:
  • Size: 156.4 kB
  • Tags: PyPy, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for louvain-0.7.1-pp37-pypy37_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 042ea6e4903f8c35b1079f339456b44fc14cf6573ffe19d06302a787ded95f76
MD5 db129194cd6e0b7d25d658c124d38152
BLAKE2b-256 d352c2fa01a5a0f0e2e4b5b75a543dbacf37c80476c5e9c90c7669db9362267c

See more details on using hashes here.

File details

Details for the file louvain-0.7.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for louvain-0.7.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 21226287152147243418bbaab6c1cb00e61b9701e1e4fe5046c2df291c1411d9
MD5 ae91f3b796c6b1e67cd1e0f9f5d147b8
BLAKE2b-256 d070d1b0f5d5fcd32f0d5a88adddfafcedcac17b7cbe4fa29f2518f1d369dda8

See more details on using hashes here.

File details

Details for the file louvain-0.7.1-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for louvain-0.7.1-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 2c2ee3d43fcee7cfd238a558b4bdc1778ac157da7ce2013cf77d98c13e9a2cc2
MD5 a11822eb4b2ef19a8ac1f08d0aa3e43e
BLAKE2b-256 b250c0ab7c10920d73f48b6de07d4a07015ab37695fb980d418094ffe7d20dce

See more details on using hashes here.

File details

Details for the file louvain-0.7.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: louvain-0.7.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 199.8 kB
  • Tags: PyPy, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for louvain-0.7.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 1fa61989673feb163759249c628245d63bd5abbc9db121151b7703d053629c7b
MD5 de0e474e49c79b2c4f58992911cafae0
BLAKE2b-256 0ea3a21aeddd6544db0faa927ebdfb49ffe5549170cc7b1c381afada681aa586

See more details on using hashes here.

File details

Details for the file louvain-0.7.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: louvain-0.7.1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 94.4 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for louvain-0.7.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 3e3f4666b03e0cb1d807a89d7705cf3f921279b4f72dec1f2aa1dd9494abc013
MD5 15c5d1941a9d4facce805161291324b2
BLAKE2b-256 2b67dce9e00162a13db2638edc4f6132a5ebfbcc2d2b0b8cc93703dd00680db4

See more details on using hashes here.

File details

Details for the file louvain-0.7.1-cp310-cp310-win32.whl.

File metadata

  • Download URL: louvain-0.7.1-cp310-cp310-win32.whl
  • Upload date:
  • Size: 82.9 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for louvain-0.7.1-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 648d2d599db6cfe83ad7661d184388181de19bac38f4f3d9af905c9bc5e4fca2
MD5 445c04540f7754f4041f9ad441748abe
BLAKE2b-256 07f0e17a6328eae25c28635c5425971bad92c3f6f9e179ac1272cb65d77ff633

See more details on using hashes here.

File details

Details for the file louvain-0.7.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for louvain-0.7.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c09c2f08417487d2a10b16b0904bd8268255f9be36368b1313714b704802ad85
MD5 c467d960e8efcf76f9eadacb0708e8de
BLAKE2b-256 ea59314e96d83f0582eef1d337a7cfc4426872ff239a7eefe90c5d5245f00c80

See more details on using hashes here.

File details

Details for the file louvain-0.7.1-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for louvain-0.7.1-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 16ae3976f7bf12f5bbc790a5876a50869fc99c8bfcf6d7f2aef4449a65d53a66
MD5 e096358436d2d37c6c8f2a16c31f8c90
BLAKE2b-256 09610553c759f16c1e32d733a21f568865350db6ddbf6eb16cdc5481720d26b3

See more details on using hashes here.

File details

Details for the file louvain-0.7.1-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: louvain-0.7.1-cp310-cp310-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 210.3 kB
  • Tags: CPython 3.10, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for louvain-0.7.1-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 2a74d07bffaf1e9c7e9dd857b6effdba32691555dad6cc4ea5a7e9e5f84c285a
MD5 105c6d2c5326a6a7f056e3ea5caa0e43
BLAKE2b-256 408c3d41792263c0b3049c2a3ad5bc1d7a0a8533c070a7ccda3fbb8a41e71aef

See more details on using hashes here.

File details

Details for the file louvain-0.7.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: louvain-0.7.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 94.4 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for louvain-0.7.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 1cd8caa2bcb8331f069dd0e14feac085249b953dfcf32d945584d363548e26fb
MD5 382cd5355dbbb9cbeb2ac140ee7b95a9
BLAKE2b-256 29a44a45641a5f03c2d542205eaa77710d4bfe9cc4bdb0897f9c45c751ba1393

See more details on using hashes here.

File details

Details for the file louvain-0.7.1-cp39-cp39-win32.whl.

File metadata

  • Download URL: louvain-0.7.1-cp39-cp39-win32.whl
  • Upload date:
  • Size: 82.9 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for louvain-0.7.1-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 2624c05fc3b07caf650e5ee8467bece7ce73037c655e4d08583b98a364eadb18
MD5 13351e367f1e33284c7275a551c78778
BLAKE2b-256 4a10b0b14c0ffa13ac6bd03ed76f87b9d2929620428240b9fa84398e3fddfb34

See more details on using hashes here.

File details

Details for the file louvain-0.7.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for louvain-0.7.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 23e765878cd011037a32399a58252b6ae25b2dbf33c510662293e2d4b2c335ae
MD5 ca5a7d0fce2c19291b87e88bfed5b2ea
BLAKE2b-256 7c0b68e880b90636d81429854b6e56d62285bf43d467886f856b5329a2b2008b

See more details on using hashes here.

File details

Details for the file louvain-0.7.1-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for louvain-0.7.1-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 1f2beded1222cc6e3f6be62caf5d5fd9fc5cd2ec200afaf0e5cc24e3808d4301
MD5 f48e7acfc517a57347681129751614e7
BLAKE2b-256 dd9974af89afdac915cab44cfd9aba6836834b98cf7058fe4d45584c5406069c

See more details on using hashes here.

File details

Details for the file louvain-0.7.1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: louvain-0.7.1-cp39-cp39-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 210.3 kB
  • Tags: CPython 3.9, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for louvain-0.7.1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 df93bd66c9b3e57be1422b03e00e30370ef1ef5a79bb61b17e07c02baf8abcdb
MD5 980b5c13d1feba0f35ea715978d1bef9
BLAKE2b-256 238e24d5aeb9d63c170d811af399be439cd282146edac1817a355376c92d34b4

See more details on using hashes here.

File details

Details for the file louvain-0.7.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: louvain-0.7.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 94.8 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for louvain-0.7.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 4b97df7fe3324a1f14910bf1ed8261ad50614c46e0cf101441f3c4b692473240
MD5 d8d1053ded3e5bdea1870274c11ffaa1
BLAKE2b-256 6b22df3028cbdf0c0575918b12ec1183815e88be66924015b77f24bb953cd272

See more details on using hashes here.

File details

Details for the file louvain-0.7.1-cp38-cp38-win32.whl.

File metadata

  • Download URL: louvain-0.7.1-cp38-cp38-win32.whl
  • Upload date:
  • Size: 83.1 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for louvain-0.7.1-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 6210bceefa7752f69faccb7a77b850ef7716ae5c40766fdc884507a9817ed57e
MD5 31ecadb2a90a28a2ed7294d8220d2159
BLAKE2b-256 c73bff3dab120b22b8dc745d7c6ea5712558dc720c468c8593600918efad944f

See more details on using hashes here.

File details

Details for the file louvain-0.7.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for louvain-0.7.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c49567faa340eb9f04dced4f5961df280779fbb9396d5a042c93034371f353b6
MD5 ed3b1ea211366fb49caec96864aee3c6
BLAKE2b-256 7032498f99a9f6a23c5e780c91f40e0ca04b200d0a5552409ea736d68f315b5d

See more details on using hashes here.

File details

Details for the file louvain-0.7.1-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for louvain-0.7.1-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 c5e0e13b5c2f9fd7fb1c4adb9500505276a411cb8a71bb73c9fb21aabb2185e5
MD5 7e14894732fa6118b164f36c91924292
BLAKE2b-256 3d005f38bef37efab5a36d140a30beda3478905140cbe1b71b21268b9e747dfa

See more details on using hashes here.

File details

Details for the file louvain-0.7.1-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: louvain-0.7.1-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 210.4 kB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for louvain-0.7.1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 273b62db07d4df6d7e60befe423d8983144de0afcdf6b477a597f65c9421f095
MD5 372aab1871b4c2b558b08ae2641e1663
BLAKE2b-256 421f311a1bd4dfd10e10c7a66157ac44beaa7ed256f03f1f2e32efaa01055540

See more details on using hashes here.

File details

Details for the file louvain-0.7.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: louvain-0.7.1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 94.7 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for louvain-0.7.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 79c21fc37a1e38ac27be37e42a306316e4af6822b5b7d2ae291d31cc15dcfc2f
MD5 3758a557c182c9bf4ff4fa07e56c951f
BLAKE2b-256 de52f32dc7887726fd2b625ff0f546364a441a9ba346b376d2c4e26ad869e39c

See more details on using hashes here.

File details

Details for the file louvain-0.7.1-cp37-cp37m-win32.whl.

File metadata

  • Download URL: louvain-0.7.1-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 83.0 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for louvain-0.7.1-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 4abf35e7ef84002d35bb7f6997312e0facba6203af95a89d67defced9d9cfa9f
MD5 ea3db1ebc8f17c366376a632396e771e
BLAKE2b-256 b03c45bad93ccae11efcbb4159af19bf1c4d431ea327e7902fca30428a414177

See more details on using hashes here.

File details

Details for the file louvain-0.7.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for louvain-0.7.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 00c6027a3c182872504a46b26d865581f2a6fb42b5779dc2b4ad0081145c9c90
MD5 947ccb744ea296f3f259ebd9603de431
BLAKE2b-256 e5281248f0ccbc3c78b762456314635d1627ad7004567091373c1b1f0fb2e22a

See more details on using hashes here.

File details

Details for the file louvain-0.7.1-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for louvain-0.7.1-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 28ca35329f3f9ea7310ffedc634a905daba947c872f4e4628713792f8984ad53
MD5 31833ad069a165cc801a187743fc0a7d
BLAKE2b-256 ae02bebff7c9d59e335a8f702aba2920bc19f4abe2345ce2edf8a7d244a228f1

See more details on using hashes here.

File details

Details for the file louvain-0.7.1-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: louvain-0.7.1-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 210.4 kB
  • Tags: CPython 3.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.3 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for louvain-0.7.1-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 327b8948b3d9e83a58a83f16c9639931b3cd47d2267a00fd3681592624dd17a7
MD5 c2349b94d1143fd7880427b1665347a5
BLAKE2b-256 75db2369dc17fccab853af6c95096a92704f341b1c1bc76f5e5f4b96803efc2f

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