ITK is an open-source toolkit for multidimensional image analysis

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for jcfr from gravatar.com jcfr Avatar for phcerdan from gravatar.com phcerdan Avatar for tbirdso from gravatar.com tbirdso Avatar for thewtex from gravatar.com thewtex

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache)
  • Author: Insight Software Consortium
  • Tags ITK, InsightToolkit, segmentation, registration, image, imaging
Classifiers

Project description

ITK is an open-source, cross-platform library that provides developers with an extensive suite of software tools for image analysis. Developed through extreme programming methodologies, ITK employs leading-edge algorithms for registering and segmenting multidimensional scientific images.

This package contains basic numerical tools and algorithms that have general applications outside of imaging.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for jcfr from gravatar.com jcfr Avatar for phcerdan from gravatar.com phcerdan Avatar for tbirdso from gravatar.com tbirdso Avatar for thewtex from gravatar.com thewtex

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache)
  • Author: Insight Software Consortium
  • Tags ITK, InsightToolkit, segmentation, registration, image, imaging
Classifiers

Release history Release notifications | RSS feed

5.4.0

5.4rc4 pre-release

5.4rc3 pre-release

5.4rc2 pre-release

5.3.0

5.2.1.post1

5.2.0.post3

5.1.2

5.1.1.post1

5.1.0.post3

5.0.1

This version

5.0.0.post1

4.13.2.post1

4.13.0

4.12.0.post1

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-5.0.0.post1-cp37-cp37m-win_amd64.whl (10.9 MB view details)

Uploaded CPython 3.7m Windows x86-64

itk_numerics-5.0.0.post1-cp37-cp37m-manylinux1_x86_64.whl (26.5 MB view details)

Uploaded CPython 3.7m

itk_numerics-5.0.0.post1-cp37-cp37m-macosx_10_9_x86_64.whl (22.1 MB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

itk_numerics-5.0.0.post1-cp36-cp36m-win_amd64.whl (10.9 MB view details)

Uploaded CPython 3.6m Windows x86-64

itk_numerics-5.0.0.post1-cp36-cp36m-manylinux1_x86_64.whl (26.5 MB view details)

Uploaded CPython 3.6m

itk_numerics-5.0.0.post1-cp36-cp36m-macosx_10_9_x86_64.whl (22.1 MB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

itk_numerics-5.0.0.post1-cp35-cp35m-win_amd64.whl (12.1 MB view details)

Uploaded CPython 3.5m Windows x86-64

itk_numerics-5.0.0.post1-cp35-cp35m-manylinux1_x86_64.whl (26.5 MB view details)

Uploaded CPython 3.5m

itk_numerics-5.0.0.post1-cp35-cp35m-macosx_10_9_x86_64.whl (22.1 MB view details)

Uploaded CPython 3.5m macOS 10.9+ x86-64

itk_numerics-5.0.0.post1-cp27-cp27mu-manylinux1_x86_64.whl (26.6 MB view details)

Uploaded CPython 2.7mu

itk_numerics-5.0.0.post1-cp27-cp27m-manylinux1_x86_64.whl (26.6 MB view details)

Uploaded CPython 2.7m

itk_numerics-5.0.0.post1-cp27-cp27m-macosx_10_9_x86_64.whl (22.1 MB view details)

Uploaded CPython 2.7m macOS 10.9+ x86-64

File details

Details for the file itk_numerics-5.0.0.post1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: itk_numerics-5.0.0.post1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 10.9 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/2.7.9

File hashes

Hashes for itk_numerics-5.0.0.post1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 851530c9db2605d92081843c0a020c925ae3b883808570d579a947b7d1f49501
MD5 825439f703a2f52d8f0fc2f0d8a1ba0b
BLAKE2b-256 c73efc4d1b995f423e464eaff39cc7fad4baaa08c4a8f0272b88bb9797484959

See more details on using hashes here.

File details

Details for the file itk_numerics-5.0.0.post1-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: itk_numerics-5.0.0.post1-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 26.5 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/2.7.9

File hashes

Hashes for itk_numerics-5.0.0.post1-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 946f29cd18aab9229baab6d3e341ced7add2efd37b9497c1520a19c89d80f904
MD5 377493d8e195a54bd85c2da98f1b3aa5
BLAKE2b-256 4f1973540656e5c68cdc04f989c9c13e8ad994122f60931df21958e1a814647c

See more details on using hashes here.

File details

Details for the file itk_numerics-5.0.0.post1-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: itk_numerics-5.0.0.post1-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 22.1 MB
  • Tags: CPython 3.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/2.7.9

File hashes

Hashes for itk_numerics-5.0.0.post1-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 6bea7f081474c868ab8c8c964c3793ec66f88762214706b5dcd465dd3b719142
MD5 4d80e52099365ee43a039c1451ebd230
BLAKE2b-256 e79a1e0dd5b055553a92cbbc6859686d1ad0904ce4dd7b56fde0f4c957b274d1

See more details on using hashes here.

File details

Details for the file itk_numerics-5.0.0.post1-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: itk_numerics-5.0.0.post1-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 10.9 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/2.7.9

File hashes

Hashes for itk_numerics-5.0.0.post1-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 c3a543824fc0ef71ac933db239ae8338854b371bb88780a16f6456f63d7b2b5f
MD5 018647c603b7e05a501a1f4d6c72b874
BLAKE2b-256 228f2a8915c5919aa77ba6522592ef1879621956c5cfc0638584ffd879595107

See more details on using hashes here.

File details

Details for the file itk_numerics-5.0.0.post1-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: itk_numerics-5.0.0.post1-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 26.5 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/2.7.9

File hashes

Hashes for itk_numerics-5.0.0.post1-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 05a090a746c9cfc38130f6a79037c8dbe8967dcef490c38d5a34bc6132a1b01e
MD5 668ea3ec83740e0ded14f3f2b6b389f0
BLAKE2b-256 0bff6d7b7140bec961eab03c3dab1e2e2316de2175ebb5fbb6f3d0d07dc3aebf

See more details on using hashes here.

File details

Details for the file itk_numerics-5.0.0.post1-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: itk_numerics-5.0.0.post1-cp36-cp36m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 22.1 MB
  • Tags: CPython 3.6m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/2.7.9

File hashes

Hashes for itk_numerics-5.0.0.post1-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 46c78b517d8936c433b41ca770cff1512148618e9835c9fcc0aafb0c127a8211
MD5 d6d2a5a20e3af6f014e5fb08081eb415
BLAKE2b-256 334513b55c3c7f05207e3791c8485a0333d132ba71039b8979b5465e41b5220e

See more details on using hashes here.

File details

Details for the file itk_numerics-5.0.0.post1-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: itk_numerics-5.0.0.post1-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 12.1 MB
  • Tags: CPython 3.5m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/2.7.9

File hashes

Hashes for itk_numerics-5.0.0.post1-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 e60764eea26453d412a416729c5c385adbfed265c0bbf44f201367ee8d666ff5
MD5 3ebef76fde03479ed8d4d1ba31d0592a
BLAKE2b-256 337cef70115f81d9554ebbe820d5dd51b883676f96e57a5b8a9cffc4c45388d6

See more details on using hashes here.

File details

Details for the file itk_numerics-5.0.0.post1-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

  • Download URL: itk_numerics-5.0.0.post1-cp35-cp35m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 26.5 MB
  • Tags: CPython 3.5m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/2.7.9

File hashes

Hashes for itk_numerics-5.0.0.post1-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 40991542af30b89a5f182a2765292267c57ecae1c707219494ffe4322de5a5b6
MD5 a266b77f254192b19e8b36dc4d708b8b
BLAKE2b-256 63d022027acfcd5549222497a056b37234cecceb0ea45cb5724698ebb5a5a07e

See more details on using hashes here.

File details

Details for the file itk_numerics-5.0.0.post1-cp35-cp35m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: itk_numerics-5.0.0.post1-cp35-cp35m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 22.1 MB
  • Tags: CPython 3.5m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/2.7.9

File hashes

Hashes for itk_numerics-5.0.0.post1-cp35-cp35m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 5dfccfc7b20284540475647e6b3ebc9c8b79b53e0d4b83f474efbe691cf6c42e
MD5 5830e22bdac242a898a83382b069e59c
BLAKE2b-256 b92aa25c31c57a275972f42cb2a6f8e66241a4fd81de78af8a0884d1adaf351b

See more details on using hashes here.

File details

Details for the file itk_numerics-5.0.0.post1-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for itk_numerics-5.0.0.post1-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 bde47c9f57eaf2e3d9bd55de5fe4037578489ace4e4d56a6fed3a3a089b49570
MD5 b1f322383175b031598b5b9282eb6df5
BLAKE2b-256 666328069e501c10530f0fbb20d2e2c69ecfc0f66988ec32dbbff3bc11766155

See more details on using hashes here.

File details

Details for the file itk_numerics-5.0.0.post1-cp27-cp27m-manylinux1_x86_64.whl.

File metadata

  • Download URL: itk_numerics-5.0.0.post1-cp27-cp27m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 26.6 MB
  • Tags: CPython 2.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/2.7.9

File hashes

Hashes for itk_numerics-5.0.0.post1-cp27-cp27m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 abdc9fb703f9a4995d9e9addf6322c9da5691feba34bbe0bd3aaddaf2b72de38
MD5 db0b82844f2446420b778a1d05cf2029
BLAKE2b-256 7f1257096ee75b60fb39993c48c67c50d010094920e00aab891e7136ef4afc8a

See more details on using hashes here.

File details

Details for the file itk_numerics-5.0.0.post1-cp27-cp27m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: itk_numerics-5.0.0.post1-cp27-cp27m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 22.1 MB
  • Tags: CPython 2.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/2.7.9

File hashes

Hashes for itk_numerics-5.0.0.post1-cp27-cp27m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 789e1a515f81d23f951fe74d13faf8e6fb32d4f820705ca3129e56853cb8600c
MD5 086ea1e2ee206098b17560784c61c4fb
BLAKE2b-256 bfd127bf73d77edf0fdcb65dddf40bd37bbeef09986b84ee2994af4cd7ee1aff

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