Programmable data sources and filters provide low-level access to data and enable you to perform custom data filtering operations not already available in ParaView. In addition to scripting ParaView visualization pipelines, ParaView provides several ways to enhance its capabilities. You can leverage scripting in ParaView to quickly develop more tailored solutions through the Web or as standalone applications. Python scripts for ParaView form a basic building block of custom web-enabled visualization applications using platforms like ParaViewWeb and trame. If you can script it, you can visualize it on the web! They can also be invoked as part of in situ analysis while a simulation is running using Catalyst. Scripts even work in client/server mode and on servers running on thousands of processors. This is especially useful in batch processing so you can extract meaningful information from large simulations, either in situ or post-processing. Scripting lets you easily streamline repetitive jobs, handle intensive tasks without interaction, and create dedicated solutions for their needs. ParaView’s Python scripting layer is useful when the interactive exploration phase is over, and you are ready to apply analysis and visualization pipelines to large datasets. This capability is useful in several contexts. ParaView provides Python scripting modules that cover all of the capabilities of the ParaView desktop application.

Full visualization and analysis pipelines can be scripted and run without relying on the ParaView desktop application.

Paraview linux save animation