Ecosyste.ms: Docker
An open API service providing dependency metadata for docker images.
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
More details on packages.ecosyste.ms - JSON
gitpod/workspace-full 2023-12-21-11-39-51
Default Workspace Image for https://gitpod.io. Use `legacy-dazzle-v1` tag for dazzlev1 images
- version: @VTK_VER@
gitpod/workspace-mongodb 2023-12-21-11-39-51
- version: @VTK_VER@
gitpod/workspace-mysql 2023-12-21-11-39-51
- version: @VTK_VER@
gitpod/workspace-postgres 2023-12-21-11-39-51
- version: @VTK_VER@
gitpod/workspace-full-vnc 2023-12-21-11-39-51
Based on workspace-full this image adds X11 and VNC support
- version: @VTK_VER@
gitpod/workspace-dotnet 2023-12-21-11-39-51
Based on workspace-full this image adds .NET support
- version: @VTK_VER@
dolfinx/lab v0.7.3
Jupyter Lab environment with dolfinx
- version: 9.2.6
gitpod/workspace-yugabytedb 2023-08-30-14-07-38
- version: @VTK_VER@
gitpod/workspace-nix 2023-12-21-11-39-51
- version: @VTK_VER@
adwinying/devcontainer latest
Dev environment in a docker container
- version: @VTK_VER@
pranjalsahu/pranjal-sahu-gpu-test11 latest
- version: 9.1.0
mirekphd/ml-cpu-py36-jup 20190218
- version: 8.1.2
mirekphd/ml-pred-py36-cuda90 20190826
- version: 8.1.2
vnmd/qsmxt_1.1.8 latest
- version: 8.2.0
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
vnmd/fsl_6.0.1 latest
- version: 8.2.0
vnmd/mne_0.23.4 latest
- version: 9.0.1
gesiscss/binder-cgre-2daachen-2dgempy-4dd2c6 2a76ec8bbb27b2e1a9d4c8acb7455fb2a577934d
- version: 9.0.1
pranjalsahu/pranjal-sahu-gpu-test1 latest
- version: 9.1.0
vnmd/fsl_6.0.5.1 latest
- version: 9.0.1
mirekphd/ml-feature-store 20190909
- version: 8.1.2
gesiscss/binder-timsainb-2dbirdbrain-38142e cf16bb00bb94d811507769e8d7fe39a766db3068
- version: 8.2.0
polusai/notebook-env-module-installer 1.0.0
- version: #VTK_VERSION#
vnmd/qsmxt_1.1.10 latest
- version: 8.2.0
vnmd/fsl_6.0.2 20200701
- version: 8.2.0
vnmd/qsmxt_1.1.9 latest
- version: 8.2.0
deeptimhe/ubuntu18.04-cuda11.3.1-python3.7-pytorch1.12 orig-sing-amlt9.9.2-pytorch3d0.7.0-tensorflow1.15
FROM: https://github.com/Lightning-AI/lightning/blob/master/dockers/base-cuda/Dockerfile
- version: 9.2.2
pranjalsahu/pranjal-sahu-oaianalysispynvml latest
- version: 9.1.0
rajikha/dhcpconnectome latest
- version: 9.2.5, 9.1.0
olejak/pycae latest
Build of https://github.com/spbuCAE/PyCAE
- version: 9.0.1
pranjalsahu/oaianalysis latest
- version: 9.2.2
vnmd/mrsiproc_0.0.1 20230928
- version: 9.0.1
gesiscss/binder-ahinoamp-2dbinderexercise-bf064f 32a2cc5f95eec76392095cdc6d102253910fb54b
- version: 8.1.2
vnmd/vesselvio_1.1.1 latest
- version: 9.0.1
pranjalsahu/pranjal-sahu-gpu-test10 latest
- version: 9.1.0
finsberg/fenics2017_gmsh latest
- version: 8.1.2
finsberg/sscp19_project7 latest
- version: 8.1.2
gesiscss/binder-felipelema-2dmne-2dbinder-9aed64 d70d132adb7bee5bdccee4a50bcadf501406ef0e
- version: 8.1.2
vnmd/mrtrix3_3.0.3 latest
- version: 8.2.0
vnmd/qsmxtbase_1.1.2 latest
- version: 8.2.0
mirekphd/tst-ml-gpu-py36-cuda8-failing 001766c55ca8
- version: 8.1.1
vnmd/samri_0.5 latest
- version: 8.2.0
vaidyasm/kaggle-python latest
- version: 8.1.2
mirekphd/gbdt-gpu-docker-devel latest
- version: 8.1.0
martincraig/basil-qmenta 0.0.50
- version: 9.1.0
ncarmody/pi_py latest
- version: 9.1.0
trungleduc/jupytercad-env 0.1.2
- version: 9.1.0
hkjeldsberg/vampy latest
- version: 9.1.0
angryred/recap-vtk 1.0.2
Python 3.10.8 with VTK+ITK+SimpleITK support
- version: 9.2.2
vnmd/mneextended_1.1.0 latest
- version: 9.1.0
fnndsc/pl-pyvista-volume 1.0.0
Volume enclosed by polygonal mesh
- version: 9.2.5
cgyan/dpabifiber 1.0
- version: 9.0.1, 9.2.2
taitran12310/ali-cbct v0.0.1-requirements
Automatic Landmark Identification in 3D Cone-Beam Computed Tomography scans
- version: 9.2.2
zhangkin/openpcdet latest
openpcdet docker and ros
- version: 9.2.4
palmtrey/buildplate_rendering 3.0.4
- version: 9.2.6
csleo/img_trs latest
- version: 9.2.2
vanhoavn/nix-env-1 latest
- version: @VTK_VER@
sharmaatul11/atelectasissegmentation1 latest
- version: 9.2.2
unidata/jupyterhub-gpu 802576b3
- version: 9.2.2
davevader/fbenv 2.0
- version: 9.2.2
amhe4269/hcp-icafix-base 1.06.15
- version: 8.2.0
s1367495352/icp_3dssd v1
- version: 8.2.0, 9.2.2
rajikha/dwiconnectome latest
- version: 9.2.4, 8.2.0
vnmd/mriqc_22.0.6 latest
- version: 9.1.0
dimensionlab/simulation-studio-backend test
- version: 9.1.0
rajikha/neuro-antsfslmrt latest
- version: 9.2.5, 9.1.0
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
iseeag/pb latest
- version: 9.1.0
mintcomponents/r2d-2ftmp-2frepo2cwl-5f8c8cxza5-2frepo1638551837 b57fd8781376
- version: 9.0.3
seokg1023/iitp-icon-smpl latest
- version: 9.2.2
vnmd/deepsif_0.0.1 latest
- version: 9.1.0
timtike/pythonocc 2.0
python=3.9, pythonocc-core=7.7.0, after enter docker, need to: source activate pyoccenv
- version: 9.2.2
miraclezero/tfgan env
- version: 8.1.1, 8.1.2
pvandyken/mesher 0.18.1
- version: 9.2.2
gesiscss/binder-r2d-g5b5b759-marbo87-2dtransform-2dgui-6ff1e1 a3257de76d20b4298873219c952867791e29708a
- version: 9.2.5
pranjalsahu/pranjal-sahu-oaianalysis2 latest
- version: 9.2.2
worldofgeese/lbob-devcontainer 0.1.5
- version: @VTK_VER@
vnmd/vesselvio_1.1.2 20230428
- version: 9.0.1
mintcomponents/r2d-2ftmp-2frepo2cwl-5fy82ycgws-2frepo1638381363 5f8d66f6eaba
- version: 9.0.3
mintcomponents/r2d-2ftmp-2frepo2cwl-5fjt7uidtq-2frepo1638382576 78e3a82e8d90
- version: 9.0.3
mintcomponents/r2d-2ftmp-2frepo2cwl-5fvkl9iqls-2frepo1638544904 9b6a9b6fbc11
- version: 9.0.3
quantstack/jupytercad-env 0.1.0
- version: 9.1.0
pragayshourya/geodesy_lab latest
Software like pinga, simpeg and plateflex is installed
- version: 9.2.2
xfdywy/aml py37pt1110mj200gpufenicsx_sing_v1
- version: 9.1.0