Skip to main content

ITK is an open-source toolkit for multidimensional image analysis

Project description

ITK - The Insight Toolkit

ITK: The Insight Toolkit

GitHub release PyPI Wheels License DOI Powered by NumFOCUS

C++ Python
Linux Build Status Build Status
Windows Build Status Build Status
macOS Build Status Build Status
macOS (Apple Silicon) ITK.macOS.Arm64
Linux (Code coverage) Build Status

Links

Note: For questions related to ITK, please use the official Discussion space: the issue tracker is reserved to track different aspects of the software development process, as highlighted by the available templates.

About

The Insight Toolkit (ITK) is an open-source, cross-platform toolkit for N-dimensional scientific image processing, segmentation, and registration. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both.

The ITK project uses an open governance model and is fiscally sponsored by NumFOCUS. Consider making a tax-deductible donation to help the project pay for developer time, professional services, travel, workshops, and a variety of other needs.


ITK is distributed in binary Python packages. To install:

pip install itk

or

conda install -c conda-forge itk

The cross-platform, C++ core of the toolkit may be built from source using CMake.

Copyright

NumFOCUS holds the copyright of this software. NumFOCUS is a non-profit entity that promotes the use of open source scientific software for educational and research purposes. NumFOCUS delegates project governance to the Insight Software Consortium Council, an educational consortium dedicated to promoting and maintaining open-source, freely available software for medical image analysis. This includes promoting such software in teaching, research, and commercial applications, and maintaining webpages and user and developer communities. ITK is distributed under a license that enables use for both non-commercial and commercial applications. See LICENSE and NOTICE files for details.

Supporting ITK

ITK is a fiscally sponsored project of NumFOCUS, a non-profit dedicated to supporting the open source scientific computing community. If you want to support ITK's mission to develop and maintain open-source, reproducible scientific image analysis software for education and research, please consider making a donation to support our efforts.

NumFOCUS is 501(c)(3) non-profit charity in the United States; as such, donations to NumFOCUS are tax-deductible as allowed by law. As with any donation, you should consult with your personal tax adviser or the IRS about your particular tax situation.

Professional Services

Kitware provides professional services for ITK, including custom solution creation, collaborative research and development, development support, and training.

Citation

To cite ITK, please reference, as appropriate:

The papers

McCormick M, Liu X, Jomier J, Marion C, Ibanez L. ITK: enabling reproducible research and open science. Front Neuroinform. 2014;8:13. Published 2014 Feb 20. doi:10.3389/fninf.2014.00013

Yoo TS, Ackerman MJ, Lorensen WE, Schroeder W, Chalana V, Aylward S, Metaxas D, Whitaker R. Engineering and Algorithm Design for an Image Processing API: A Technical Report on ITK – The Insight Toolkit. In Proc. of Medicine Meets Virtual Reality, J. Westwood, ed., IOS Press Amsterdam pp 586-592 (2002).

The books

Johnson, McCormick, Ibanez. "The ITK Software Guide: Design and Functionality." Fourth Edition. Published by Kitware, Inc. 2015 ISBN: 9781-930934-28-3.

Johnson, McCormick, Ibanez. "The ITK Software Guide: Introduction and Development Guidelines." Fourth Edition. Published by Kitware, Inc. 2015 ISBN: 9781-930934-27-6.

Specific software version

DOI

Once your work has been published, please create a pull request to add the publication to the ITKBibliography.bib file.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

itk_numerics-5.4.0-cp311-abi3-win_amd64.whl (20.1 MB view details)

Uploaded CPython 3.11+ Windows x86-64

itk_numerics-5.4.0-cp311-abi3-manylinux_2_28_x86_64.whl (57.2 MB view details)

Uploaded CPython 3.11+ manylinux: glibc 2.28+ x86-64

itk_numerics-5.4.0-cp311-abi3-manylinux_2_28_aarch64.whl (54.0 MB view details)

Uploaded CPython 3.11+ manylinux: glibc 2.28+ ARM64

itk_numerics-5.4.0-cp311-abi3-manylinux_2_17_x86_64.whl (56.6 MB view details)

Uploaded CPython 3.11+ manylinux: glibc 2.17+ x86-64

itk_numerics-5.4.0-cp311-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (58.1 MB view details)

Uploaded CPython 3.11+ manylinux: glibc 2.17+ x86-64

itk_numerics-5.4.0-cp311-abi3-macosx_11_0_arm64.whl (37.0 MB view details)

Uploaded CPython 3.11+ macOS 11.0+ ARM64

itk_numerics-5.4.0-cp311-abi3-macosx_10_9_x86_64.whl (36.1 MB view details)

Uploaded CPython 3.11+ macOS 10.9+ x86-64

itk_numerics-5.4.0-cp310-cp310-win_amd64.whl (19.9 MB view details)

Uploaded CPython 3.10 Windows x86-64

itk_numerics-5.4.0-cp310-cp310-manylinux_2_28_x86_64.whl (57.0 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.28+ x86-64

itk_numerics-5.4.0-cp310-cp310-manylinux_2_28_aarch64.whl (53.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.28+ ARM64

itk_numerics-5.4.0-cp310-cp310-manylinux_2_17_x86_64.whl (56.2 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

itk_numerics-5.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (57.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

itk_numerics-5.4.0-cp310-cp310-macosx_11_0_arm64.whl (35.4 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

itk_numerics-5.4.0-cp310-cp310-macosx_10_9_x86_64.whl (36.1 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

itk_numerics-5.4.0-cp39-cp39-win_amd64.whl (19.9 MB view details)

Uploaded CPython 3.9 Windows x86-64

itk_numerics-5.4.0-cp39-cp39-manylinux_2_28_x86_64.whl (57.0 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.28+ x86-64

itk_numerics-5.4.0-cp39-cp39-manylinux_2_28_aarch64.whl (53.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.28+ ARM64

itk_numerics-5.4.0-cp39-cp39-manylinux_2_17_x86_64.whl (56.2 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

itk_numerics-5.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (57.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

itk_numerics-5.4.0-cp39-cp39-macosx_11_0_arm64.whl (35.4 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

itk_numerics-5.4.0-cp39-cp39-macosx_10_9_x86_64.whl (36.1 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

itk_numerics-5.4.0-cp38-cp38-win_amd64.whl (19.9 MB view details)

Uploaded CPython 3.8 Windows x86-64

itk_numerics-5.4.0-cp38-cp38-manylinux_2_28_x86_64.whl (57.0 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.28+ x86-64

itk_numerics-5.4.0-cp38-cp38-manylinux_2_28_aarch64.whl (53.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.28+ ARM64

itk_numerics-5.4.0-cp38-cp38-manylinux_2_17_x86_64.whl (56.2 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

itk_numerics-5.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (57.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

itk_numerics-5.4.0-cp38-cp38-macosx_10_9_x86_64.whl (36.1 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

File details

Details for the file itk_numerics-5.4.0-cp311-abi3-win_amd64.whl.

File metadata

File hashes

Hashes for itk_numerics-5.4.0-cp311-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 31f24c218c763b2c15953453cc366c5ba09e7a5c7d47d432a24c0b6b12249206
MD5 98f1547a4ee0d9a648402c0ae2a55ef5
BLAKE2b-256 2b3ed1dfc24f22415a35c743fdd8dc8b8315454f4bcee6ecbb740aa9d440baa0

See more details on using hashes here.

File details

Details for the file itk_numerics-5.4.0-cp311-abi3-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for itk_numerics-5.4.0-cp311-abi3-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 e2dcda0a07ccb6b9b518d3cc4413387a44c30a313c22e15bf818af06c7da8bfd
MD5 c0c5646ef3eddb4df5a7c5c4ab7f6e2a
BLAKE2b-256 8a0b46eaffa04ac7a15d2bea1f40e179df6152c00bf709f8d08b81c5514a9e12

See more details on using hashes here.

File details

Details for the file itk_numerics-5.4.0-cp311-abi3-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for itk_numerics-5.4.0-cp311-abi3-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 5cd8ab0781e08a4022e36094bb60652d0ee2b7cd1912f325e8f32d8bd5501fcf
MD5 063c0b4aefa9abd2be9992ac45ecf4a9
BLAKE2b-256 2d7fb28465e289ce6217b3e1fbebb9956e73e334a5c5f76a6426ba6843310943

See more details on using hashes here.

File details

Details for the file itk_numerics-5.4.0-cp311-abi3-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for itk_numerics-5.4.0-cp311-abi3-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 56b53dc4d99eace4114df24293310a9a0f94b42e8cc7c85d4a90d438d9ec0aca
MD5 d0da25880f2fee0652c7d0a8da3fa05e
BLAKE2b-256 9abc4c127060914397e5ba93a26667b01ee56b4f60db4edee35d999f140ec32e

See more details on using hashes here.

File details

Details for the file itk_numerics-5.4.0-cp311-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for itk_numerics-5.4.0-cp311-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d956851df9de82676635265f56cdb4fdd5354f4bc068431ec5f9df724197c410
MD5 17e485ee983d3e44726231be97d664c5
BLAKE2b-256 5a0da2c01abe9c6c499f276bb3c5fdcc988ce298f3c74d90efcf8d30480e34be

See more details on using hashes here.

File details

Details for the file itk_numerics-5.4.0-cp311-abi3-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for itk_numerics-5.4.0-cp311-abi3-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 583b665d6b8578ac93691afb796faf69e30b8db8a205754cdc746707f9589fcd
MD5 5c8008af2533fd5dfd777823c3d6d56b
BLAKE2b-256 3bb85f1269e17191228c7702cd81fc6e83f1814ab49a235fcba62230bac81cb4

See more details on using hashes here.

File details

Details for the file itk_numerics-5.4.0-cp311-abi3-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for itk_numerics-5.4.0-cp311-abi3-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 bb723387079926593602ad9c4ba12205c8385d51dad93b48172e8dc9fd354d28
MD5 36791ff23bd4750350ce3294fbc5ba3d
BLAKE2b-256 9ca3ebddbbf9ac37b9bd5797b68ac3a0ff46c121a65f6a22e533a1f1fcf2387e

See more details on using hashes here.

File details

Details for the file itk_numerics-5.4.0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for itk_numerics-5.4.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 c5cb19fc96929730f1a3e393b11411ffa5851753169d66544e133f68294b5b5f
MD5 bac5f602d2d005a247ea5a1eb1d18394
BLAKE2b-256 08e53e8e48420ac7fc03512357e09a6f07320cbe3de1860a384a4e956b1d8e39

See more details on using hashes here.

File details

Details for the file itk_numerics-5.4.0-cp310-cp310-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for itk_numerics-5.4.0-cp310-cp310-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 becbb4bce1ee35aef3333aa09a460f9ef89292c09368aaaf0a9a5de2d3d46c20
MD5 7f3e612a3797e4ba30a03c764afd28ed
BLAKE2b-256 78e2869bb2329f2c231cca1bd1ba9ed1dbae2677e187926ffb68d1dcc69e0c6c

See more details on using hashes here.

File details

Details for the file itk_numerics-5.4.0-cp310-cp310-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for itk_numerics-5.4.0-cp310-cp310-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 107fc5c7b22cdd81128251d90067640670cd4f697536a15fb9285f122ad5037c
MD5 f62d2ad1df25614336c443f70407ab6c
BLAKE2b-256 387d975e23f43ab44a683ad86de7d4d3b782c3779c9182ef34c8be887ed1680a

See more details on using hashes here.

File details

Details for the file itk_numerics-5.4.0-cp310-cp310-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for itk_numerics-5.4.0-cp310-cp310-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 6542a9a067e5a2161e9eac906bfd077bb1416c3ef37a45724011f31d2ac0e015
MD5 6a4eb4efbc729f0f87fbbf64909e7867
BLAKE2b-256 8d8ca6829e75d7d5c6025e8fe004f0975369d594a6754969abe85794ac48255c

See more details on using hashes here.

File details

Details for the file itk_numerics-5.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for itk_numerics-5.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 770d5f04a6901d9eff2a00cf5e6edd55d398b3e27c810d86d7f4bbb69383b025
MD5 d72207db701e1190e9d57298eaf1998b
BLAKE2b-256 93daf2bd616c6d84043d180e093330a354b9c918320e62b5cfd0c6130665cb66

See more details on using hashes here.

File details

Details for the file itk_numerics-5.4.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for itk_numerics-5.4.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 b64df7105090d583773cb87a3da9c792d3b01bb625e7c660b3de6a4acc2e8ba6
MD5 42fe8c1c299b8ac959a476f30028f03f
BLAKE2b-256 ae760ef2fa273d3497c912e79511043cdc15d0977fe8cd2957d53a3f9ece2beb

See more details on using hashes here.

File details

Details for the file itk_numerics-5.4.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for itk_numerics-5.4.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 95726f8e085bd0e60b02b849ac64aec1e5693f9e51b970ae1784c755975748ac
MD5 250ab8815529da6c47ce895acb4a0ab0
BLAKE2b-256 ade40b2cf2dbc5ba7b3ace73626a1696b83e891bdbd2aa4ed71332ee39da1d70

See more details on using hashes here.

File details

Details for the file itk_numerics-5.4.0-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for itk_numerics-5.4.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 f93148b80603231ada4489fc3d5da76e4ce9dca6b77bcd5d2fc21575bb63d3f5
MD5 ec677bc06bafacc676aa2f1745a41634
BLAKE2b-256 b0140f14f4202418c47a76f47b1d3bbcbd191896261688a5d1e7f1fa08a74a47

See more details on using hashes here.

File details

Details for the file itk_numerics-5.4.0-cp39-cp39-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for itk_numerics-5.4.0-cp39-cp39-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 88b7eeae1d9ace072e3e8dfa846e9d12d85496eca0f7ff6398acc95426f539dd
MD5 8bb91811783a46a6d4ec5c909326d144
BLAKE2b-256 00b9b8139831843745b6a2dac607b5cf642944dbdb43eef27e7d9603650ef50e

See more details on using hashes here.

File details

Details for the file itk_numerics-5.4.0-cp39-cp39-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for itk_numerics-5.4.0-cp39-cp39-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 d6da785dd5a8ec9a38d5b3b1895f3f1b0bad809041f87aa596943baad7cc5691
MD5 f2ce02f9c6f94c2d85f26bffdff2496e
BLAKE2b-256 6d0e28375f9ab655dfbc38aaa01399e8c17856ae5d1169601d9bda85dd7b08cc

See more details on using hashes here.

File details

Details for the file itk_numerics-5.4.0-cp39-cp39-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for itk_numerics-5.4.0-cp39-cp39-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 066a3b4665291d7fb2d6c28645f8be5935e28f68d4cc18dc454ac9e78f741d29
MD5 6a59825e3d2c2be993e34a09c25ff48c
BLAKE2b-256 996d95298a874f7630056687dab265c94a4ec81ff54b9344a3058b3563bab15c

See more details on using hashes here.

File details

Details for the file itk_numerics-5.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for itk_numerics-5.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 98b0b19f5933138498dace7bf5e4c4fd65ee767ddc0d2ae17c839bb80099d70e
MD5 059cd78cff6121da6ab2ce2102c878e9
BLAKE2b-256 32754c3b23dc6f86a5372f6baa373d97255216ce1c14e6de7d4291e82a403bf9

See more details on using hashes here.

File details

Details for the file itk_numerics-5.4.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for itk_numerics-5.4.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 7bfe1c02b592ba1d26f25ef7c04fd0d48affc5eb4076dd405b6af3dbfac206c7
MD5 3c8c43d924dfc8668b6d9d28c3f57dd7
BLAKE2b-256 ce1d5f2adbb5e89141e7ea2f741ba3673567fd6f545e262e76877dc24b4247ee

See more details on using hashes here.

File details

Details for the file itk_numerics-5.4.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for itk_numerics-5.4.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 49345a697539dabf4b0f95bfbd54bf7e80094e2ba86554d5f8f5f94a885c6d04
MD5 2516274c4a55905a6e71b3287c3c6be1
BLAKE2b-256 e7d919d918032b0301ed1f8d0396e780c1044264025fcf27d89ebe1263b1141c

See more details on using hashes here.

File details

Details for the file itk_numerics-5.4.0-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for itk_numerics-5.4.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 749cd94bce199c26e082deb9a9061d3e13bfabbe62979c45c9262f5ffd9d0a19
MD5 24fab551826be92a11bbf008a3d3bce0
BLAKE2b-256 612ff4397c0b732274163947b06228bd4986145e5975032cc996695d0a96ffff

See more details on using hashes here.

File details

Details for the file itk_numerics-5.4.0-cp38-cp38-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for itk_numerics-5.4.0-cp38-cp38-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 766b92f3da28adaf2eacd2922eb7ddb2229930c5dbb2452cf89df0f724416b3a
MD5 b7a89be11217a19044e25f5c8740025c
BLAKE2b-256 44f7eb58ea6ac526446e8f8691c088609ab5e2d3bcc8b6524e270e17bdef3114

See more details on using hashes here.

File details

Details for the file itk_numerics-5.4.0-cp38-cp38-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for itk_numerics-5.4.0-cp38-cp38-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 9eb77342a33165d2e379dba0aa4eff6a4e08ba2fa54344f5e8c5777c8392a957
MD5 4c74789e86cf8f4a1726b47f0b559f4e
BLAKE2b-256 492390f21806c3018cfe388cd82a9668038b76961f5ff82c80b9299eef691bf5

See more details on using hashes here.

File details

Details for the file itk_numerics-5.4.0-cp38-cp38-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for itk_numerics-5.4.0-cp38-cp38-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 4822eda36b3e32c2a3167db427794d116c0f2b7fca220b54b205f4271c6f4f8d
MD5 60e9f218fea1f4f03a8f50753c58f065
BLAKE2b-256 e45ecda89cc47fb6dc6fc25badb7fa55aee450e33204d5d89bfd4e136428a2fd

See more details on using hashes here.

File details

Details for the file itk_numerics-5.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for itk_numerics-5.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d3c685516dccab53bd028ea40b6633510f7f66cf9793798c87dd34259203628b
MD5 4c46dcf6aa0d5412faf2e68d3ad649ec
BLAKE2b-256 bb7e252c9d74c47448a9615cc3f6190fa4e95eb24d1f9c35af0222f3efe5d335

See more details on using hashes here.

File details

Details for the file itk_numerics-5.4.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for itk_numerics-5.4.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 73ca47038008e71284c1dfe7ea84e7dbb9a2a022360a31d31b84eadabc185b4a
MD5 03941a27e19b2f1ebdf40beb4527dc58
BLAKE2b-256 268247549620a01c9e403f552a2407019f8a8e71689338a15258811d13ac6737

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