1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59
|
Source: python-pyvista
Standards-Version: 4.7.2
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders:
Andreas Tille <tille@debian.org>,
Francesco Ballarin <ballarin@debian.org>,
Drew Parsons <dparsons@debian.org>,
Section: science
Priority: optional
Build-Depends:
debhelper-compat (= 13),
dh-sequence-python3,
pybuild-plugin-pyproject,
python3-all-dev,
python3-aiohttp <!nocheck>,
python3-colorcet <!nocheck>,
python3-imageio <!nocheck>,
python3-numpy <!nocheck>,
python3-matplotlib <!nocheck>,
python3-meshio <!nocheck>,
python3-pil <!nocheck>,
python3-pooch <!nocheck>,
python3-scipy <!nocheck>,
python3-scooby <!nocheck>,
python3-vtk9 | python3-paraview <!nocheck>,
python3-setuptools,
Vcs-Browser: https://salsa.debian.org/science-team/python-pyvista
Vcs-Git: https://salsa.debian.org/science-team/python-pyvista.git
Homepage: https://github.com/pyvista/pyvista/
Rules-Requires-Root: no
Package: python3-pyvista
Architecture: all
Section: python
Depends:
python3-imageio,
python3-meshio,
${python3:Depends},
${misc:Depends},
Recommends:
python3-colorcet,
python3-scipy
Suggests:
python3-trimesh,
Description: Python3 high-level API to the Visualization Toolkit (VTK)
PyVista is a helper module for the Visualization Toolkit (VTK) that
wraps the VTK library through NumPy and direct array access through a
variety of methods and classes. This package provides a Pythonic, well-
documented interface exposing VTK's powerful visualization backend to
facilitate rapid prototyping, analysis, and visual integration of
spatially referenced datasets.
.
This module can be used for scientific plotting for presentations and
research papers as well as a supporting module for other mesh 3D
rendering dependent Python modules.
.
* Pythonic VTK: a high-level API to the Visualization Toolkit (VTK)
* mesh data structures and filtering methods for spatial datasets
* 3D plotting made simple and built for large/complex data geometries
|