ParaView is an open-source, multi-platform scientific data analysis and visualization tool that enables the analysis and visualization of extremely large datasets. ParaView is both a general purpose, end-user application with a distributed architecture that can be seamlessly leveraged by your desktop or other remote parallel computing resources and an extensible framework with a collection of tools and libraries for various applications including scripting (using Python), web visualization (through ParaViewWeb), or in-situ analysis (with Catalyst).

This course provides an overview of ParaView, including how to visualize and process data. The examples are based on use cases from several scientific domains.

This training mixes theory and application with a set of tutorials and exercises.

Early Bird Registration: Use the code PARAVIEWTRAINING for a 20% discount. Expires Feb. 8th.


  • Explore ParaView user’s interface
  • Visualize and process data using ParaView
  • Learn ParaView Python scripting
  • Discover ParaView extension with plugins


  • Basic knowledge of VTK is a plus
  • Basic knowledge of Python is a plus


ParaView Overview

  • User interface
  • Pipeline sources and filters
  • Datasets visualization and exploration
  • Datasets post-processing

Python Scripting

  • Scripting ParaView using its Python API


  • Introduction to the use of ParaView plugins

Practical Information

February 22, 2023, 1pm to 5pm EST
February 23, 2023, 1pm to 5pm EST
8 hours | Remote | English

$760 through 2/8/2023 (use early bird code)
$950 after 2/8/2023

Custom Training

Kitware offers custom training options, including dates, locations, and agendas tailored to your needs. Contact us for more information.

Contact Us

About the Instructor

Cory Quammen

Cory is a technical leader on Kitware’s Scientific Computing Team based in Carrboro, North Carolina. His main area of focus is scientific visualization, and he is a core developer of ParaView. Cory leads several projects with industrial partners to build custom ParaView applications that are tailored to their customers’ analysis and visualization workflows. These applications provide streamlined best-in-class post-processing capabilities for simulation domains such as computational fluid dynamics and finite element analysis. Cory also works with government agencies to expand the core visualization and data analysis capabilities of ParaView. Cory received his master’s degree in computer science from the University of North Carolina at Chapel Hill and his bachelor’s degree in computer science from Gustavus Adolphus College.

Learn more about Cory