Package Usage : pypi : vtk
Explore the latest package usage data for vtk in the pypi ecosystem, including detailed information on package dependencies and their usage.
Total dependents: 123
Total downloads: 18,735,065
Showing first 100 dependents
More details on packages.ecosyste.ms - JSON
mirekphd/tst-ml-gpu-py36-cuda8-failing 001766c55ca8
- version: 8.1.1
vnmd/samri_0.5 latest
- version: 8.2.0
finsberg/fenics2017_gmsh latest
- version: 8.1.2
gesiscss/binder-felipelema-2dmne-2dbinder-9aed64 d70d132adb7bee5bdccee4a50bcadf501406ef0e
- version: 8.1.2
finsberg/sscp19_project7 latest
- version: 8.1.2
mirekphd/ml-cpu-py36-jup 20190218
- version: 8.1.2
vnmd/qsmxt_1.1.10 latest
- version: 8.2.0
mirekphd/ml-pred-py36-cuda90 20190826
- version: 8.1.2
vanandrew/me_pipeline 20230913
- version: 9.2.6
vnmd/qsmxt_1.1.9 latest
- version: 8.2.0
martincraig/basil-qmenta 0.0.50
- version: 9.1.0
palmtrey/buildplate_rendering 3.0.4
- version: 9.2.6
csleo/img_trs latest
- version: 9.2.2
ozoooooh/airflow-2.5.2-py3.10-pipeline 1.0
- version: 9.2.6
vaidyasm/kaggle-python latest
- version: 8.1.2
polusai/notebook-env-module-installer 2.1.0
- version: #VTK_VERSION#
mirekphd/gbdt-gpu-docker-devel latest
- version: 8.1.0
ardimasp/clirton2-19aug latest
- version: 9.1.0
vnmd/fsl_6.0.5.1 latest
- version: 9.0.1
cgyan/dpabifiber 2.0
- version: 9.0.1, 9.2.2
angryred/recap-vtk 1.0.2
Python 3.10.8 with VTK+ITK+SimpleITK support
- version: 9.2.2
vnmd/qsmxt_1.1.8 latest
- version: 8.2.0
jcollie/nixos-runner 15-0cd81b89
- version: @VTK_VER@
finsberg/pulse_adjoint latest
- version: 8.1.2
vnmd/mrtrix3_3.0.0 latest
- version: 8.2.0
pranjalsahu/pranjal-sahu-oai7 latest
- version: 9.1.0
vanhoavn/nix-env-1 latest
- version: @VTK_VER@
worldofgeese/lbob-devcontainer 0.1.5
- version: @VTK_VER@
jih189/jiaming-manipulation latest
- version: 8.2.0
saicaifactory/tenjin-edge-streamlit-c1n-le 0.0.1
- version: 9.2.6
sharmaatul11/atelectasissegmentation1 latest
- version: 9.2.2
unidata/jupyterhub-gpu 802576b3
- version: 9.2.2
amhe4269/hcp-icafix-base 1.06.15
- version: 8.2.0
pyrocko/pyrocko-sparrow test
- version: 9.2.5
rajikha/dwiconnectome latest
- version: 8.2.0, 9.2.4
s1367495352/icp_3dssd v1
- version: 8.2.0, 9.2.2
trungleduc/jupytercad-env 0.1.2
- version: 9.1.0
hkjeldsberg/vampy latest
- version: 9.1.0
vnmd/mriqc_22.0.6 latest
- version: 9.1.0
dimensionlab/simulation-studio-backend test
- version: 9.1.0
rajikha/neuro-antsfslmrt latest
- version: 9.1.0, 9.2.5
aacazxnat/neurosession-xnat 0.1
- version: 9.1.0
juheonyi/juheon-torch110 latest
- version: 9.0.1, 9.2.2
liganping/pytorch1.13_cuda_11.7 latest
- version: 9.2.6
mintcomponents/r2d-2ftmp-2frepo2cwl-5f8c8cxza5-2frepo1638551837 b57fd8781376
- version: 9.0.3
iseeag/pb latest
- version: 9.1.0
gesiscss/binder-r2d-g5b5b759-ukan-2dcomputational-2dacoustics-2dca-2dknowledgebase-fdfe6c bc5b0211cedc1223a387d3055c9068838a440de5
- version: 9.1.0.dev0
vnmd/mneextended_1.1.0 latest
- version: 9.1.0
seokg1023/iitp-icon-smpl latest
- version: 9.2.2
xfdywy/aml py37pt1110mj200gpufenicsx_sing_v1
- version: 9.1.0
gesiscss/binder-r2d-g5b5b759-ubermag-2doommfc-e4c754 a1af2824f1ec58c7cdd02f3492663afa4a3daed7
- version: 9.2.6
klakadkfz/mhubai-totalsegmentator nocuda-210623
- version: 9.2.6
rgaur104/simsopt4gs2 latest
- version: 9.0.1
yanglei2024/yjx_cuda10-1-1 base
- version: 9.0.1
mhubai/totalsegmentator v1.1
MHub images for TotalSegmentator. To learn more about the platform, visit https://mhub.ai.
- version: 9.2.6
pranjalsahu/pranjal-sahu-gpu-test1 latest
- version: 9.1.0
fnndsc/pl-pyvista-volume 1.0.0
Volume enclosed by polygonal mesh
- version: 9.2.5
worldofgeese/buddhabot-devcontainer latest
- version: @VTK_VER@
mhubai/platipy v1.1
MHub images for Platipy. To learn more about the platform, visit https://mhub.ai.
- version: 9.2.6
marcelmaatkamp/mkdocs-material-jupyter-pyvista 9.1.9
- version: 9.2.6
vnmd/deepsif_0.0.1 latest
- version: 9.1.0
davevader/fbenv 2.0
- version: 9.2.2
pangyuteng/dcm minimal
https://github.com/pangyuteng/public-scratch/tree/master/docker
- version: 9.2.5
geoscienceaustralia/gnss-metadata-bitbucket-pipelines java21
- version: @VTK_VER@
timtike/pythonocc 2.0
python=3.9, pythonocc-core=7.7.0, after enter docker, need to: source activate pyoccenv
- version: 9.2.2
pvandyken/mesher 0.18.1
- version: 9.2.2
vnmd/vesselvio_1.1.2 20230428
- version: 9.0.1
miraclezero/tfgan env
- version: 8.1.1, 8.1.2
ncarmody/pi_py latest
- version: 9.1.0
jdbetteridge/defcon 2025-09
- version: 9.2.6
vnmd/datalad_1.0.20211006 20230331
- version: 9.0.1
gesiscss/binder-r2d-g5b5b759-marbo87-2dtransform-2dgui-6ff1e1 a3257de76d20b4298873219c952867791e29708a
- version: 9.2.5
calous/tp3d fine
- version: 9.0.3, 9.2.6
ardimasp/clirton2-20aug latest
- version: 9.1.0
kalo10/segmentation latest
- version: 9.2.2
msoufi/tensorflow latest
- version: 9.2.6
wn1980/hpc-box cuda10
- version: 9.0.3
ephemeralcodex/test 0.0.1
- version: @VTK_VER@
liganping/shapeworks_v6.4.1_torch_2.0 latest
- version: 9.1.0
wglao/dimension-bridging mdo_with_cuda-120801
- version: 9.0.1
gitpod/workspace-full 2025-10-16-17-48-52
Default Workspace Image for https://gitpod.io. Use `legacy-dazzle-v1` tag for dazzlev1 images
- version: @VTK_VER@
pranjalsahu/pranjal-sahu-oaianalysis2 latest
- version: 9.2.2
taitran12310/ali-cbct v0.0.1-requirements
Automatic Landmark Identification in 3D Cone-Beam Computed Tomography scans
- version: 9.2.2
bogurdoudou/neuro_ubuntu_full workbench_prep
- version: 8.2.0
gitpod/workspace-mongodb 2024-10-29-10-39-27
- version: @VTK_VER@
gitpod/workspace-mysql 2025-08-25-18-17-39
- version: @VTK_VER@
gitpod/workspace-postgres 2025-08-25-18-17-39
- version: @VTK_VER@
gitpod/workspace-full-vnc 2025-06-18-16-47-14
Based on workspace-full this image adds X11 and VNC support
- version: @VTK_VER@
dolfinx/lab v0.9.0
Jupyter Lab environment with dolfinx
- version: 9.2.6