We recently had to change the name of this software and we apologize for any confusion this may be causing
PyVista is a helper module for the Visualization Toolkit (VTK) that takes a different approach on interfacing with VTK through NumPy and direct array access. 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 dependent Python modules.
Want to test-drive PyVista? Check out our live examples on MyBinder:
.. toctree:: :hidden: self why authors
For general questions about the project, its applications, or about software usage, please create an issue in the pyvista/pyvista-support repository where the community can collectively address your questions. You are also welcome to join us on join us on Slack or send one of the developers an email. The project support team can be reached at email@example.com.
PyVista is a powerful tool that researchers can harness to create compelling, integrated visualizations of large datasets in an intuitive, Pythonic manner. Here are a few open-source projects that leverage PyVista:
- pyansys: Pythonic interface to ANSYS result, full, and archive files
- PVGeo: Python package of VTK-based algorithms to analyze geoscientific data and models. PyVista is used to make the inputs and outputs of PVGeo's algorithms more accessible.
- omfvista: 3D visualization for the Open Mining Format (omf). PyVista provides the foundation for this library's visualization.
- discretize: Discretization tools for finite volume and inverse problems.
toVTKmethods that return PyVista versions of their data types for creating compelling visualizations.
- pymeshfix: Python/Cython wrapper of Marco Attene's wonderful, award-winning MeshFix software.
- tetgen: Python Interface to Hang Si's C++ TetGen Library
There is a paper about PyVista!
If you are using PyVista in your scientific research, please help our scientific visibility by citing our work! Head over to :ref:`citation_ref` to learn more about citing PyVista.
If you have a working copy of VTK, installation is simply:
$ pip install pyvista
See :ref:`install_ref` for more details.
Be sure to head over to the examples gallery to explore different use cases of PyVista and to start visualizing 3D data in Pyhton! Also, please explore the list of external projects leveraging PyVista for 3D visualization in our external examples list
.. toctree:: :maxdepth: 2 :caption: Getting Started :hidden: getting-started/installation getting-started/simple examples/index external_examples
In this section, you can learn more about how PyVista wraps different VTK mesh types and how you can leverage powerful 3D plotting and mesh analysis tools. Highlights of the API include:
- Pythonic interface to VTK's Python-C++ bindings
- Filtering/plotting tools built for interactivity in Jupyter notebooks (see :ref:`ipy_tools_ref`)
- Direct access to common VTK filters (see :ref:`filters_ref`)
- Intuitive plotting routines with
matplotlibsimilar syntax (see :ref:`plotting_ref`)
.. toctree:: :maxdepth: 2 :caption: API Reference :hidden: types/index tools/index