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. You could even make a basic web application using flask.

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

• Building VTK
  • Wheels on Linux and Mac OS
  • Off-Screen Plotting GPU Support
  • Building ManyLinux Wheels
  • Building Python VTK Wheel on Raspberry Pi (64-bit)
  • Building VTK on Windows
• PyVista within a Docker Container
  • Create your own Docker Container with pyvista
• Freezing PyVista with pyinstaller
• Flask Application
  • Python Application app.py
  • Ajax Template index.html
• Contributing
  • Cloning the Source Repository
  • Questions
  • Reporting Bugs
  • Feature Requests
  • Contributing New Code
  • Licensing
  • Development Practices
    • Guidelines
    • Contributing to pyvista through GitHub
      • Coding Style
      • Branch Naming Conventions
      • Testing
      • Notes Regarding Image Regression Testing
      • Creating a New Pull Request
    • Branching Model
      • Minor Release Steps
      • Patch Release Steps
• Sphinx PyVista Plot Directive
  • A directive for including a PyVista plot in a Sphinx document
    • Options
    • Configuration options
• Using Local VTK-Data
• Extending PyVista