Skip to main content

NetworKit is a toolbox for high-performance network analysis

Project description

NetworKit is a growing open-source toolkit for high-performance network analysis. Its aim is to provide tools for the analysis of large networks in the size range from thousands to billions of edges. For this purpose, it implements efficient graph algorithms, many of them parallel to utilize multicore architectures. These are meant to compute standard measures of network analysis, such as degree sequences, clustering coefficients and centrality. In this respect, NetworKit is comparable to packages such as NetworkX, albeit with a focus on parallelism and scalability. NetworKit is also a testbed for algorithm engineering and contains a few novel algorithms from recently published research, especially in the area of community detection.

Download files

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

Source Distribution

networkit-10.0.tar.gz (5.7 MB view details)

Uploaded Source

Built Distributions

networkit-10.0-cp310-cp310-win_amd64.whl (20.9 MB view details)

Uploaded CPython 3.10 Windows x86-64

networkit-10.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (7.3 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

networkit-10.0-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (9.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.12+ x86-64

networkit-10.0-cp310-cp310-macosx_12_0_arm64.whl (5.3 MB view details)

Uploaded CPython 3.10 macOS 12.0+ ARM64

networkit-10.0-cp310-cp310-macosx_10_9_x86_64.whl (7.4 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

networkit-10.0-cp39-cp39-win_amd64.whl (21.0 MB view details)

Uploaded CPython 3.9 Windows x86-64

networkit-10.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (9.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ x86-64

networkit-10.0-cp39-cp39-macosx_12_0_arm64.whl (5.3 MB view details)

Uploaded CPython 3.9 macOS 12.0+ ARM64

networkit-10.0-cp39-cp39-macosx_10_9_x86_64.whl (7.4 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

networkit-10.0-cp38-cp38-win_amd64.whl (21.0 MB view details)

Uploaded CPython 3.8 Windows x86-64

networkit-10.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (9.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

networkit-10.0-cp38-cp38-macosx_10_9_x86_64.whl (7.4 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

networkit-10.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (9.8 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64

networkit-10.0-cp37-cp37m-macosx_10_9_x86_64.whl (7.4 MB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

File details

Details for the file networkit-10.0.tar.gz.

File metadata

  • Download URL: networkit-10.0.tar.gz
  • Upload date:
  • Size: 5.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.12

File hashes

Hashes for networkit-10.0.tar.gz
Algorithm Hash digest
SHA256 6fe69db1178b69305c40836953b6f7731574e211cea53ced52bbc45b9fff2a1d
MD5 a2bc2297e2f168e28b854131a1cd5d2f
BLAKE2b-256 06b71aad46f0c2e46c1d3f47f7a0d7e486a9b3bd5bf96bfe895fe7767426686a

See more details on using hashes here.

File details

Details for the file networkit-10.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: networkit-10.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 20.9 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.12

File hashes

Hashes for networkit-10.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 52961ec7456f17b71235b867880b64613cac3379c200a0b82ae60a29c0b43188
MD5 2c721ddf949a0288c15b2b2e18f5dcde
BLAKE2b-256 187d4f500a5ae9e37b864142df053ba63c098d46e2534f937e75f9f7717954af

See more details on using hashes here.

File details

Details for the file networkit-10.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for networkit-10.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 0a6e96ffcc84b10f079d41e4394349df2e26d7b0fd15a3579aafc96e5e69e088
MD5 2f83f3453ba0567265a9f3366a168797
BLAKE2b-256 783d2a5cb58c5baf7af19f0a4fc6e6735cb32172a1b1f3c60728628e9f140edf

See more details on using hashes here.

File details

Details for the file networkit-10.0-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for networkit-10.0-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 f58db231ed06bad6264036cac4405ebe8d4d6890480bb23f2a36399799f0ae94
MD5 aa6653f5a06a196614230d2a166b4724
BLAKE2b-256 3c3fe606f467419b9ed345d61f2423751a7aed1a365977be2edc3fc52cad58ce

See more details on using hashes here.

File details

Details for the file networkit-10.0-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for networkit-10.0-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 ad96951452b02b37348125e70eafce1bf75b1c2aca81b66141f5cad89937fedc
MD5 d8ad9661006617c1c054184542182f44
BLAKE2b-256 eee4b9a720cc5c30fbc95a11da6a2f510169c7691700e62808bc50eebdefa2cf

See more details on using hashes here.

File details

Details for the file networkit-10.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for networkit-10.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a1edee63449d7a23150aa042d252fbc167293be0f9598d3b24fad624a65fa7e5
MD5 d44f594c5597f45eb5a70bc007f4166c
BLAKE2b-256 83583bd1b55a3de687b4855c54e7819b275a2192505f2ff5afe65385324a0548

See more details on using hashes here.

File details

Details for the file networkit-10.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: networkit-10.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 21.0 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.12

File hashes

Hashes for networkit-10.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 ae398bd9bc1dffa07a230a82c1e5cb03b865896d4a277c52ceabcab283ad6753
MD5 41341c842be57cfb4ca7525849daf0c5
BLAKE2b-256 d496a640e2be25a1fea63ba4f26571f0b24b4a3df6b1a83443d12abbbf390d59

See more details on using hashes here.

File details

Details for the file networkit-10.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for networkit-10.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 797f8122afeeb164f93ec0428df897d5dc84273eb4cd67b828fabf53a6fec5e2
MD5 9a9a82ba10986f3ca137af4b836436ad
BLAKE2b-256 334a00ccafb034d94b27e728dd75e76f8578ba47d520d1defeeed8776f3e0589

See more details on using hashes here.

File details

Details for the file networkit-10.0-cp39-cp39-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for networkit-10.0-cp39-cp39-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 f1cab5c1f511597d88246c2ddd03eff1866607aa7776f47ea02a2fc502ae0a21
MD5 df48540b24b01503285489ae256e7b54
BLAKE2b-256 4b808ae1ce4f3bcb18ea7ba0b102df368f1b0e86ccb71b38435b6df965c5792d

See more details on using hashes here.

File details

Details for the file networkit-10.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for networkit-10.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 1ac1f2b1406416fc7f55b5b6defceb893ae74355c1171d38664446191d3334d3
MD5 87d92d93dbe20210c47002124b5fa7d3
BLAKE2b-256 d9307c6528d869872d3984b03da2a5dd5a524747dcd5a10b5e02dffacf99fcd5

See more details on using hashes here.

File details

Details for the file networkit-10.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: networkit-10.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 21.0 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.12

File hashes

Hashes for networkit-10.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 5100d3e53623a340b97cff348b6c34571030ab799ddb47de656586320c3ea5a2
MD5 d1d3fa5fb70ddf828aa68f6b2dbe3aa7
BLAKE2b-256 842a4a15c762e664e40137ffd266b195e611a32335b1424a4f0274cfde9ad063

See more details on using hashes here.

File details

Details for the file networkit-10.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for networkit-10.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 06250e34f4d85e11c09366764b5efe13f1329feb5557a2ade80dd1be3dfc8aac
MD5 f090ff524a9e3dcc1225de528d554241
BLAKE2b-256 3fd4ee9334cc1edcc21b7bd7ec75b0fa869ba2bc2f31d761c827ee08ec71912e

See more details on using hashes here.

File details

Details for the file networkit-10.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for networkit-10.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 1ab8f51c99eccd9b1b32d78000204187b3d04325f6d78653fc91aaf56070643b
MD5 20323b010e9f22e7f9b96f985331be9a
BLAKE2b-256 ebd7dc4d6763f48b4a31062b13b1e79de8625e74ade20004b58856d865ba4215

See more details on using hashes here.

File details

Details for the file networkit-10.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for networkit-10.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 d2c54fbd6bed7c10cb77bb5520db4f8e50c28763c27c66a905c6b858eb9e7400
MD5 880e40ee4722db60a9e794b32a8e4807
BLAKE2b-256 b929d07828c032c5cba14d7f28da8910f423218f77c0d9c3984700ecb318ac9d

See more details on using hashes here.

File details

Details for the file networkit-10.0-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for networkit-10.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 d861c44595aa59556a387307ed9a309da89e8c60ac8c3d9304ffbad7afbeeac8
MD5 01b74c4a38bbcede5a6f55b900005d1a
BLAKE2b-256 70b1bba8910969fe4b5e2d39015216c2bce822c56b27d48c73ef732798d6cb6b

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 Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page