pypi.org: itk

ITK is an open-source toolkit for multidimensional image analysis

• Homepage: https://docs.itk.org/
• Documentation: https://itk.readthedocs.io/
• Licenses: Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. "You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License. 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You may reproduce and distribute copies of the Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: (a) You must give any other recipients of the Work or Derivative Works a copy of this License; and (b) You must cause any modified files to carry prominent notices stating that You changed the files; and (c) You must retain, in the Source form of any Derivative Works that You distribute, all copyright, patent, trademark, and attribution notices from the Source form of the Work, excluding those notices that do not pertain to any part of the Derivative Works; and (d) If the Work includes a "NOTICE" text file as part of its distribution, then any Derivative Works that You distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the Derivative Works, in at least one of the following places: within a NOTICE text file distributed as part of the Derivative Works; within the Source form or documentation, if provided along with the Derivative Works; or, within a display generated by the Derivative Works, if and wherever such third-party notices normally appear. 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• Latest release: 5.4.5 (published 7 months ago)
• Last Synced: 2026-06-03T14:49:51.400Z (17 days ago)
• Versions: 60
• Dependent Packages: 83
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pypi.org: itk-core

ITK is an open-source toolkit for multidimensional image analysis

• Homepage: https://docs.itk.org/
• Documentation: https://itk-core.readthedocs.io/
• Licenses: Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. "You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License. "Source" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files. "Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. "Work" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below). "Derivative Works" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof. "Contribution" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. 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You may reproduce and distribute copies of the Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: (a) You must give any other recipients of the Work or Derivative Works a copy of this License; and (b) You must cause any modified files to carry prominent notices stating that You changed the files; and (c) You must retain, in the Source form of any Derivative Works that You distribute, all copyright, patent, trademark, and attribution notices from the Source form of the Work, excluding those notices that do not pertain to any part of the Derivative Works; and (d) If the Work includes a "NOTICE" text file as part of its distribution, then any Derivative Works that You distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the Derivative Works, in at least one of the following places: within a NOTICE text file distributed as part of the Derivative Works; within the Source form or documentation, if provided along with the Derivative Works; or, within a display generated by the Derivative Works, if and wherever such third-party notices normally appear. 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You are solely responsible for determining the appropriateness of using or redistributing the Work and assume any risks associated with Your exercise of permissions under this License. 8. Limitation of Liability. In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, shall any Contributor be liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this License or out of the use or inability to use the Work (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if such Contributor has been advised of the possibility of such damages. 9. Accepting Warranty or Additional Liability. While redistributing the Work or Derivative Works thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability. END OF TERMS AND CONDITIONS APPENDIX: How to apply the Apache License to your work. To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets "[]" replaced with your own identifying information. (Don't include the brackets!) The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives. Copyright [yyyy] [name of copyright owner] Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
• Latest release: 5.4.5 (published 7 months ago)
• Last Synced: 2026-06-03T14:49:51.217Z (17 days ago)
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pypi.org: itk-filtering

ITK is an open-source toolkit for multidimensional image analysis

• Homepage: https://docs.itk.org/
• Documentation: https://itk-filtering.readthedocs.io/
• Licenses: Apache Software License
• Latest release: 5.4.6 (published about 2 months ago)
• Last Synced: 2026-06-17T17:31:05.834Z (3 days ago)
• Versions: 50
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pypi.org: itk-io

ITK is an open-source toolkit for multidimensional image analysis

• Homepage: https://docs.itk.org/
• Documentation: https://itk-io.readthedocs.io/
• Licenses: Apache Software License
• Latest release: 5.4.6 (published about 2 months ago)
• Last Synced: 2026-06-17T01:31:24.563Z (3 days ago)
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pypi.org: itk-numerics

ITK is an open-source toolkit for multidimensional image analysis

• Homepage: https://docs.itk.org/
• Documentation: https://itk-numerics.readthedocs.io/
• Licenses: Apache Software License
• Latest release: 5.4.6 (published about 2 months ago)
• Last Synced: 2026-06-19T00:31:00.449Z (1 day ago)
• Versions: 44
• Dependent Packages: 7
• Dependent Repositories: 71
• Downloads: 110,239 Last month
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pypi.org: itk-segmentation

ITK is an open-source toolkit for multidimensional image analysis

• Homepage: https://docs.itk.org/
• Documentation: https://itk-segmentation.readthedocs.io/
• Licenses: Apache Software License
• Latest release: 5.4.6 (published about 2 months ago)
• Last Synced: 2026-06-16T14:27:33.964Z (4 days ago)
• Versions: 61
• Dependent Packages: 4
• Dependent Repositories: 51
• Downloads: 102,594 Last month
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pypi.org: itk-registration

ITK is an open-source toolkit for multidimensional image analysis

• Homepage: https://docs.itk.org/
• Documentation: https://itk-registration.readthedocs.io/
• Licenses: Apache Software License
• Latest release: 5.4.6 (published about 2 months ago)
• Last Synced: 2026-06-18T19:30:30.200Z (1 day ago)
• Versions: 55
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proxy.golang.org: github.com/insightsoftwareconsortium/itk

• Homepage:
• Documentation: https://pkg.go.dev/github.com/insightsoftwareconsortium/itk#section-documentation
• Licenses: apache-2.0
• Latest release: v5.4.6+incompatible (published 2 months ago)
• Last Synced: 2026-05-31T23:02:13.353Z (20 days ago)
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proxy.golang.org: github.com/InsightSoftwareConsortium/ITK

• Homepage:
• Documentation: https://pkg.go.dev/github.com/InsightSoftwareConsortium/ITK#section-documentation
• Licenses: apache-2.0
• Latest release: v5.4.6+incompatible (published about 2 months ago)
• Last Synced: 2026-05-27T22:02:04.757Z (24 days ago)
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conda-forge.org: itk

• Homepage: https://www.itk.org/
• Licenses: Apache-2.0
• Latest release: 5.2.0 (published over 4 years ago)
• Last Synced: 2026-04-01T03:22:06.699Z (3 months ago)
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  • Dependent repos count: 14.811%

pypi.org: itk-gpucommon

Core classes for ITK filters accelerated with OpenCL.

• Homepage: https://itk.org/
• Documentation: https://itk-gpucommon.readthedocs.io/
• Licenses: Apache
• Latest release: 0.2.0 (published over 6 years ago)
• Last Synced: 2026-06-10T23:01:37.596Z (10 days ago)
• Versions: 2
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• Downloads: 57 Last month
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  • thewtex

pypi.org: itk-gpusmoothing

Common smoothing filters accelerated with OpenCL.

• Homepage: https://itk.org/
• Documentation: https://itk-gpusmoothing.readthedocs.io/
• Licenses: Apache
• Latest release: 0.2.0 (published over 6 years ago)
• Last Synced: 2026-05-28T03:50:58.148Z (23 days ago)
• Versions: 1
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• Downloads: 8 Last month
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  • thewtex

pypi.org: itk-gpuimagefilterbase

Base classes for ITK image filters accelerated with OpenCL.

• Homepage: https://itk.org/
• Documentation: https://itk-gpuimagefilterbase.readthedocs.io/
• Licenses: Apache
• Latest release: 0.2.0 (published over 6 years ago)
• Last Synced: 2026-05-29T15:47:54.190Z (22 days ago)
• Versions: 1
• Dependent Packages: 0
• Dependent Repositories: 1
• Downloads: 7 Last month
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  • thewtex

pypi.org: itk-gpufinitedifference

Base classes for ITK finite difference filters accelerated with OpenCL.

• Homepage: https://itk.org/
• Documentation: https://itk-gpufinitedifference.readthedocs.io/
• Licenses: Apache
• Latest release: 0.2.0 (published over 6 years ago)
• Last Synced: 2026-06-13T03:46:00.526Z (7 days ago)
• Versions: 1
• Dependent Packages: 0
• Dependent Repositories: 1
• Downloads: 31 Last month
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  • thewtex

guix: insight-toolkit

Scientific image processing, segmentation and registration

• Homepage: https://github.com/InsightSoftwareConsortium/ITK/
• Documentation: https://git.savannah.gnu.org/cgit/guix.git/tree/gnu/packages/image-processing.scm#n1401
• Licenses: asl2.0
• Latest release: 5.4.5 (published about 2 months ago)
• Last Synced: 2026-04-27T17:54:07.305Z (about 2 months ago)
• Versions: 2
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• Dependent Repositories: 0
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guix: insight-toolkit-legacy

Scientific image processing, segmentation and registration

• Homepage: https://github.com/InsightSoftwareConsortium/ITK/
• Documentation: https://git.savannah.gnu.org/cgit/guix.git/tree/gnu/packages/image-processing.scm#n1602
• Licenses: apache-2.0
• Latest release: 5.4.5 (published about 2 months ago)
• Last Synced: 2026-04-27T17:54:14.426Z (about 2 months ago)
• Versions: 2
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• Dependent Repositories: 0
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