Extras

This section contains resources to expand the usage of PyVista beyond just running it from a Python console or IDE. For example, you can package PyVista in a docker image and build VTK with EGL to enable rich headless plotting on remote servers. You can also package PyVista using pyinstaller to be used within a standalone application.

See the Contributing section for details on contributing and how you can help develop PyVista.

• Building VTK
  • Building Wheels
    • Off-Screen Plotting GPU Support
    • Building OSMesa
    • Building ManyLinux Wheels
    • Building Python VTK Wheel on Raspberry Pi (64-bit)
• PyVista within a Docker Container
  • Create your own Docker Container with PyVista
• Freezing PyVista with PyInstaller
• Contributing
  • Being Respectful
  • Cloning the Source Repository
  • Quick Start Development with Codespaces
  • Questions
  • Reporting Bugs
  • Feature Requests
  • Contributing New Code
  • Licensing
  • Development Practices
    • Guidelines
    • Contributing to PyVista through GitHub
      • Coding Style
      • Documentation Style
      • Docstrings
      • Deprecating Features or other Backwards-Breaking Changes
      • Branch Naming Conventions
      • Testing
    • Unit Testing
    • Documentation Testing
    • Style Checking
    • Notes Regarding Image Regression Testing
    • Notes Regarding Input Validation Testing
    • Building the Documentation
      • Clearing the Local Build
      • Parallel Documentation Build
      • Documentation Image Regression Testing
      • Controlling Cache for CI Documentation Build
    • Contributing to the Documentation
      • Generating Random Data
      • Adding a New Example
      • Adding a New Dataset
      • Extending the Dataset Gallery
    • Creating a New Pull Request
    • Branching Model
      • Minor Release Steps
      • Patch Release Steps
  • Dependency version policy
    • Python and VTK dependencies
• Sphinx PyVista Plot Directive
• PyVista pytest Plugin
• Using Local VTK-Data
• Extending PyVista