VTK is an open-source toolkit for 3D computer graphics, image processing, and visualization

These details have been verified by PyPI

Maintainers

Project description

VTK - The Visualization Toolkit

Introduction

VTK is an open-source software system for image processing, 3D graphics, volume rendering and visualization. VTK includes many advanced algorithms (e.g., surface reconstruction, implicit modeling, decimation) and rendering techniques (e.g., hardware-accelerated volume rendering, LOD control).

VTK is used by academicians for teaching and research; by government research institutions such as Los Alamos National Lab in the US or CINECA in Italy; and by many commercial firms who use VTK to build or extend products.

The origin of VTK is with the textbook "The Visualization Toolkit, an Object-Oriented Approach to 3D Graphics" originally published by Prentice Hall and now published by Kitware, Inc. (Third Edition ISBN 1-930934-07-6). VTK has grown (since its initial release in 1994) to a world-wide user base in the commercial, academic, and research communities.

Learning Resources

General information is available at the VTK Homepage.
Community discussion takes place on the VTK Discourse forum.
Commercial support and training are available from Kitware.
Doxygen-generated nightly reference documentation is available online.
There is now a large collection of VTK Examples that showcase VTK features and provide a useful learning resource.

Reporting Bugs

If you have found a bug:

If you have a patch, please read the CONTRIBUTING.md document.
Otherwise, please join the VTK Discourse forum and ask about the expected and observed behaviors to determine if it is really a bug.
Finally, if the issue is not resolved by the above steps, open an entry in the VTK Issue Tracker.

Requirements

In general VTK tries to be as portable as possible; the specific configurations below are known to work and tested.

VTK supports the following compilers:

GCC 4.8 or newer
Clang 3.3 or newer
Apple Clang 5.0 (from Xcode 5.0) or newer
Microsoft Visual Studio 2015 or newer
Intel 14.0 or newer

VTK supports the following operating systems:

Windows Vista or newer
Mac OS X 10.7 or newer
Linux (ex: Ubuntu 12.04 or newer, Debian 4 or newer)

Building

See build.md (in Documentation/dev/) for build instructions.

Contributing

See CONTRIBUTING.md for instructions to contribute.

License

VTK is distributed under the OSI-approved BSD 3-clause License. See Copyright.txt for details.

Project details

These details have been verified by PyPI

Maintainers

jcfr kwrobot mathstuf prabhu

Release history Release notifications | RSS feed

9.4.0rc3 pre-release

Nov 9, 2024

9.3.20230807rc0 pre-release

Aug 12, 2023

This version

9.3.1

Jun 29, 2024

9.3.0

Nov 14, 2023

9.3.0rc2 pre-release

Oct 30, 2023

9.3.0rc1 pre-release

Aug 10, 2023

9.2.6

Feb 14, 2023

9.2.5

Jan 6, 2023

9.2.4

Dec 30, 2022

9.2.2

Oct 2, 2022

9.1.0

Nov 5, 2021

9.0.3

Jul 3, 2021

9.0.2

Jun 30, 2021

9.0.1

Jun 24, 2020

9.0.0

May 19, 2020

8.1.2

Nov 29, 2018

8.1.1

Jun 23, 2018

8.1.0

Jan 31, 2018

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

vtk-9.3.1-cp312-cp312-win_amd64.whl (52.5 MB view details)

Uploaded Jun 29, 2024 CPython 3.12 Windows x86-64

vtk-9.3.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (92.2 MB view details)

Uploaded Jun 29, 2024 CPython 3.12 manylinux: glibc 2.17+ x86-64

vtk-9.3.1-cp312-cp312-macosx_11_0_arm64.whl (70.4 MB view details)

Uploaded Jun 29, 2024 CPython 3.12 macOS 11.0+ ARM64

vtk-9.3.1-cp312-cp312-macosx_10_10_x86_64.whl (76.8 MB view details)

Uploaded Jun 29, 2024 CPython 3.12 macOS 10.10+ x86-64

vtk-9.3.1-cp311-cp311-win_amd64.whl (52.5 MB view details)

Uploaded Jun 29, 2024 CPython 3.11 Windows x86-64

vtk-9.3.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (92.1 MB view details)

Uploaded Jun 29, 2024 CPython 3.11 manylinux: glibc 2.17+ x86-64

vtk-9.3.1-cp311-cp311-macosx_11_0_arm64.whl (70.4 MB view details)

Uploaded Jun 29, 2024 CPython 3.11 macOS 11.0+ ARM64

vtk-9.3.1-cp311-cp311-macosx_10_10_x86_64.whl (76.7 MB view details)

Uploaded Jun 29, 2024 CPython 3.11 macOS 10.10+ x86-64

vtk-9.3.1-cp310-cp310-win_amd64.whl (52.5 MB view details)

Uploaded Jun 29, 2024 CPython 3.10 Windows x86-64

vtk-9.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (92.1 MB view details)

Uploaded Jun 29, 2024 CPython 3.10 manylinux: glibc 2.17+ x86-64

vtk-9.3.1-cp310-cp310-macosx_11_0_arm64.whl (70.4 MB view details)

Uploaded Jun 29, 2024 CPython 3.10 macOS 11.0+ ARM64

vtk-9.3.1-cp310-cp310-macosx_10_10_x86_64.whl (76.7 MB view details)

Uploaded Jun 29, 2024 CPython 3.10 macOS 10.10+ x86-64

vtk-9.3.1-cp39-cp39-win_amd64.whl (52.5 MB view details)

Uploaded Jun 29, 2024 CPython 3.9 Windows x86-64

vtk-9.3.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (92.1 MB view details)

Uploaded Jun 29, 2024 CPython 3.9 manylinux: glibc 2.17+ x86-64

vtk-9.3.1-cp39-cp39-macosx_11_0_arm64.whl (70.3 MB view details)

Uploaded Jun 29, 2024 CPython 3.9 macOS 11.0+ ARM64

vtk-9.3.1-cp39-cp39-macosx_10_10_x86_64.whl (76.7 MB view details)

Uploaded Jun 29, 2024 CPython 3.9 macOS 10.10+ x86-64

vtk-9.3.1-cp38-cp38-win_amd64.whl (52.8 MB view details)

Uploaded Jun 29, 2024 CPython 3.8 Windows x86-64

vtk-9.3.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (92.1 MB view details)

Uploaded Jun 29, 2024 CPython 3.8 manylinux: glibc 2.17+ x86-64

vtk-9.3.1-cp38-cp38-macosx_10_10_x86_64.whl (76.7 MB view details)

Uploaded Jun 29, 2024 CPython 3.8 macOS 10.10+ x86-64

vtk-9.3.1-cp37-cp37m-win_amd64.whl (52.3 MB view details)

Uploaded Jun 29, 2024 CPython 3.7m Windows x86-64

vtk-9.3.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (92.1 MB view details)

Uploaded Jun 29, 2024 CPython 3.7m manylinux: glibc 2.17+ x86-64

vtk-9.3.1-cp37-cp37m-macosx_10_10_x86_64.whl (76.7 MB view details)

Uploaded Jun 29, 2024 CPython 3.7m macOS 10.10+ x86-64

vtk-9.3.1-cp36-cp36m-win_amd64.whl (52.3 MB view details)

Uploaded Jun 29, 2024 CPython 3.6m Windows x86-64

vtk-9.3.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (92.1 MB view details)

Uploaded Jun 29, 2024 CPython 3.6m manylinux: glibc 2.17+ x86-64

vtk-9.3.1-cp36-cp36m-macosx_10_10_x86_64.whl (76.7 MB view details)

Uploaded Jun 29, 2024 CPython 3.6m macOS 10.10+ x86-64

File details

Details for the file vtk-9.3.1-cp312-cp312-win_amd64.whl.

File metadata

Download URL: vtk-9.3.1-cp312-cp312-win_amd64.whl
Upload date: Jun 29, 2024
Size: 52.5 MB
Tags: CPython 3.12, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.3.0 pkginfo/1.5.0.1 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.64.0 CPython/3.9.10

File hashes

Hashes for vtk-9.3.1-cp312-cp312-win_amd64.whl
Algorithm	Hash digest
SHA256	`685988e09070e06c8605886591698fd42d8225489509b6537a5046cd034cc93e`
MD5	`be3e21fedefc73e096de84ea8cc50da9`
BLAKE2b-256	`b134b9b6de4009be2fe90919c4943ae99ae3d465ada73061e928d4744683f915`

Algorithm	Hash digest
SHA256	`f728bb61f43fce850d622ced3b3d51b3116f767685ca4e4e0076f624e2d2307d`
MD5	`2a7c3d1c9f91c22520c1ac7ec13946ae`
BLAKE2b-256	`01ee730d57c6d7353c1afb919ceedfac387a190ccb92e611c4b14f88e6f39066`

Algorithm	Hash digest
SHA256	`bdbefb1aef9599a0a0b8222c9582f26946732a93534e6ec37d4b8e2c524c627e`
MD5	`3e1b8f4ca04497e88568db6d7ed3161c`
BLAKE2b-256	`8e75c637c620d23ccecb8ddf58fdb80af1dc56ecdd60f3e018c55e041663398b`

Algorithm	Hash digest
SHA256	`05a4b6e387a906e8c8d6844441f9200116e937069fcf81f43e2600f26eb046de`
MD5	`7513eff37b99714d161921e5410c5545`
BLAKE2b-256	`6fba1571d61013f3f5778c11741d5de19db197b437d1a52215560f016662597b`

Algorithm	Hash digest
SHA256	`59cc043f611e3eca2870cc50f27e67852a182857de322415e942bdc133594acd`
MD5	`937be49a3ed1f4acce50fc3a528166bd`
BLAKE2b-256	`7a443797d3367180a38bb41e24a6735860d94d16351fbe12e3f6bf6efb8940c8`

Algorithm	Hash digest
SHA256	`f8edc04e0f8b6719cfc769e575a777267d667f447d1948c62fa97fb756cd75bb`
MD5	`f991bb4196d75328c74361d985ef8260`
BLAKE2b-256	`d0f81517f4f755233bb77542c222b173c760908f8f8d4330fc72526c295ab1e7`

Algorithm	Hash digest
SHA256	`c977486b0e4d87cddb3f2c7c0710d1c86243cdd01286cbd036231143d8eb4f6e`
MD5	`a94926e045ada222f6ea32b9f791739e`
BLAKE2b-256	`3536357ba7a02bc07a4d0df075e5a213a02020d509b312222445a05e354f52ff`

Algorithm	Hash digest
SHA256	`55e2df9e6993b959b482b79a6d68b8d46397b479d69738d41b1501396fcad50c`
MD5	`dea9c048a24f242972df3ab8c30f0613`
BLAKE2b-256	`580894e2d38ae35ebb85cad96cb11738208307341cac8b16e162ed95ccb26860`

Algorithm	Hash digest
SHA256	`b8feed5029486703f4f8f81d8544a30d1788de87dc3396e16a281c343e1ac1cc`
MD5	`09b9db8318b31b80d34379cef2b604c1`
BLAKE2b-256	`b5909f2fd4382d29b87404f79a265cf82ff5b4e0c2b42a67dbc3517e16e1a425`

Algorithm	Hash digest
SHA256	`890aee533fc0caca70bd1c8a4026b0d7f877518f237cc976ed4fb509d5f1dd83`
MD5	`bf0ba8c63b842f046b056922c46bb562`
BLAKE2b-256	`3bd0eda704215c82810cdb853ad5b8881bf1ea3ee4e963a5366258b30af520dd`

Algorithm	Hash digest
SHA256	`84c04327becc4c4dfe1fb04248baa4b5c480f188a9d52f4b912b163d33622442`
MD5	`46a51b5ab767d4b57a01bda02025ac3c`
BLAKE2b-256	`eb7c124cc6047d2b67283c66444e3dd5e7bf8250c782ac22e599b03c4265f0fa`

Algorithm	Hash digest
SHA256	`c41ed344b9cc90ee9dcfc5967815de272985647d0c8e0a57f0e8b4229bc1b0b9`
MD5	`abc0793184fa08264d4a86a0dc3b38b3`
BLAKE2b-256	`951f91780093a0cf2afc234063bb9697d1285ccba138c1531700bc2986e65adc`

Algorithm	Hash digest
SHA256	`6dee68abcd15603ad8ef6cef21fb13e2996d520a16880780abc41eb409dbec0c`
MD5	`d9fde23c781c34ade41bcf28ad1c202d`
BLAKE2b-256	`52c3a42bec64d8cea04b17e96e40449f52382b90008886e6f3315e355a05443e`

Algorithm	Hash digest
SHA256	`592b303f96b4cf907df7914bbf8c1f374df382c70c1d0b4fa4bd32ac1f4365ce`
MD5	`31ec1457b84080456fc2ed1f92e471cb`
BLAKE2b-256	`a0f40fd6ce305b70927a326b2d26de2eaa61404fa71cdbeaf9aa2ac367b94968`

Algorithm	Hash digest
SHA256	`ab96d6923fa37a202874cb8b8b4202d537bd4702bb151638d384e1966d877e3a`
MD5	`1e7e52f4902b9e192fa79f708d7087cc`
BLAKE2b-256	`ec17c4805af7f01a84801b01acf399ac1e4cdc3a7728f7d9b5f1a0f53c724fae`

Algorithm	Hash digest
SHA256	`3ae62397364be3a40f89025fa844cbf38b422633c0dff1065d90eec74ca6facb`
MD5	`be448c6d2d187eb551bb64102061b59a`
BLAKE2b-256	`2a8dec320eda9f60f0f48c030f6804d907ca9ce7cdae2839e6792e18f418c519`

Algorithm	Hash digest
SHA256	`872e964c38dc1d969aaa29d10a5e56fd0324d61392e21dc044c679797fbdf0ef`
MD5	`25f6290a80897c7fe839b88d8d1b77dd`
BLAKE2b-256	`1871f13b98497f2a60d6fd2ee87f7ac7df048741d1e456a0fa08f08bb3537f97`

Algorithm	Hash digest
SHA256	`eaf90d0a797b5b7ada3fd0100c072dd146e674a2ccd25411036a4aca676f9101`
MD5	`e2b86beb1747cffc67ee258a252e4adf`
BLAKE2b-256	`5a36eafd9073a6f31d808f321d508eb034e579bd21457d6eadd805f4aa0317a6`

Algorithm	Hash digest
SHA256	`6adf4b812528a4658667602de8f023400c4381b8166f11b0ea8e0ab83c066539`
MD5	`cd4b7216779112ffd33bcaada217abbb`
BLAKE2b-256	`b31540f8264f1b5379f12caf0e5153006a61c1f808937877c996e907610e8f23`

Algorithm	Hash digest
SHA256	`ee95c741a1ec3dc223c8233b1b59c5735c8249d4a15ee0b6370e7b010188397e`
MD5	`b2a7d25bdeb49965d30cc49135e76844`
BLAKE2b-256	`bccdb5794f7c959c002fc2f5ad069dc50cefca3d20e6f491b1d67a67b9ff65a9`

Algorithm	Hash digest
SHA256	`102ac70e8dad0b111347f00ccef39aea1771f4f0381a4b0ff3f1ea6539e500c8`
MD5	`4dd5892c5e50367ab0258b6d89f8bd82`
BLAKE2b-256	`8b9ed13fc4ddb868da7cfa450da60edefd824a7748ff96bff064d37e7ff44365`

vtk 9.3.1

Navigation

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Project description

Introduction

Learning Resources

Reporting Bugs

Requirements

Building

Contributing

License

Project details

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Release history Release notifications | RSS feed

Download files

Source Distributions

Built Distributions

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

Algorithm	Hash digest
SHA256	`279da9aee0fda31ee975e97b7b23480b54ea3b12d24ad8260760a3ededc32fad`
MD5	`847bb0edfd57cdc6ca95186876fce924`
BLAKE2b-256	`c011eeb973ed69da48082885f63b3553459cbff7a7dccf1a17ec75955c9a89e0`

Algorithm	Hash digest
SHA256	`4a5de9f424647bc3c02e2d2882401eac8ecd33f1a5f18261dcc69e7a05915c14`
MD5	`d011b0d5fbf94fc167b45a849110c232`
BLAKE2b-256	`40e5c8efd5ccc3606bb43fa18fab7005991951dbe38bf3497e0b7e7e21971e0a`

Algorithm	Hash digest
SHA256	`42684f38d8718b918fe1e4fee4e698d564b6daa16215c21811540c383e47dda2`
MD5	`b92816498fa124e82b6ae7a10b847f6b`
BLAKE2b-256	`9d54b691c7e4b5298e5e027d4033c392e4744990819cf7adaad2e7144d75fa70`

Algorithm	Hash digest
SHA256	`7b8b8b77b903d5515f2fe551807a6b2ee3e7e3cd112174b184a921ab57352f1e`
MD5	`43fb0cdc6947af209f2ca5d583f9835e`
BLAKE2b-256	`b4f49dbb2a1bdf29c913d6caefb964eb123784102b5bb1379e33fdc84c462929`