PyVista offers 3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).
PyVista is a helper library 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.
This is free and open source software.
Key Features
- 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.
- Interactive plotting in Jupyter Notebooks with server-side and client-side rendering with trame.
- Filtering/plotting tools built for interactivity.
- Direct access to mesh analysis and transformation routines.
- Intuitive plotting routines with matplotlib similar syntax.
- Import meshes from many common formats (use pyvista.read()). Support for all formats handled by meshio is built-in.
- Export meshes as VTK, STL, OBJ, or PLY (mesh.save()) file types or any formats supported by meshio (pyvista.save_meshio()).
Website: pyvista.org
Support: GitHub Code Repository
Developer: The PyVista Developers
License: MIT License
PyVista is written in Python. Learn Python with our recommended free books and free tutorials.
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Read our verdict in the software roundup.
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