How to Get Started with ParaView

ParaView is a free, open-source, multi-platform data analysis and visualization application you can download from paraview.org. It runs on settings ranging from supercomputers analyzing exascale datasets to laptops handling smaller data, so the same tool works whether you are exploring a local simulation or a distributed-memory job. To get started, download the application, then use the official training, companion tools, and blog resources to build your skills.

What ParaView Is

ParaView is described on its site as the world's leading open-source post-processing visualization engine, trusted by users for more than 20 years. It was developed to analyze extremely large datasets using distributed memory computing resources.

Key characteristics from the site:

  • Open source — free to download and use
  • Multi-platform — runs across different operating systems
  • Scalable — from laptops for smaller data up to supercomputers for petascale and exascale datasets
  • Flexible deployment — can run in a web browser using trame, or in situ using ParaView Catalyst

Step 1: Download ParaView

The primary entry point is the download page linked from the official site. The site states you can "start exploring your data using this powerful tool, for free, today." Download the build that matches your platform, then launch it to begin loading and visualizing your data.

Step 2: Learn the Platform from Its Developers

Kitware, the team behind ParaView, offers training directly:

  • Scheduled training courses — Kitware holds training courses throughout the year
  • Custom courses — Kitware can create a custom course for your team
  • Trainings page — visit the trainings page to learn more

The site frames these as a way to "learn how to use our platforms from the experts who developed them."

Step 3: Explore Capabilities and Companion Tools

Before or while learning, use these resources to understand what ParaView can do:

Resource What it gives you
Features Gallery See ParaView in action
Solutions See all the ways you can use ParaView
Companion Tools Additional tools that extend the platform
Blog Ongoing posts from the ParaView team

The Solutions section lists application areas including Material Science, Engineering, Medical Science, Computational Fluid Dynamics, and Sensor Data.

Step 4: Choose How You Run It

ParaView supports more than one deployment mode, which matters for how you set up your work:

  • Desktop application — the standard download for local analysis
  • In situ with ParaView Catalyst — analyze and visualize data as it is generated, useful when data is too large to move
  • In a web browser with trame — run ParaView through a browser-based interface

Beyond the Free Download

Kitware also offers Customization services for teams that need ParaView adapted to specific needs. This is separate from the free application download.

Common Starting Points

  • If you have a small dataset on a laptop, download ParaView and start with the Features Gallery to see representative workflows.
  • If you are working with very large or distributed data, look into ParaView Catalyst for in situ processing and check the training options for scaling guidance.
  • If your team needs tailored support, the Kitware training and customization paths are the relevant next steps.
paraview.org
ParaView was developed to analyze extremely large datasets using distributed memory computing resources. It can be run on supercomputers to analyze d…