Audience

Engineers, and researchers needing a tool to visualize and analyze large and complex datasets

About ParaView

ParaView is an open source, multi-platform data analysis and visualization application that enables users to build visualizations for analyzing data using qualitative and quantitative techniques. It supports interactive 3D exploration and programmatic data processing through batch processing capabilities. ParaView is designed to handle extremely large datasets using distributed memory computing resources, making it suitable for supercomputers analyzing terascale datasets as well as laptops for smaller data. The application features a client-server architecture to facilitate remote visualization of datasets and generates level-of-detail models to maintain interactive frame rates for large datasets. ParaView's extensible architecture is based on open standards, allowing for customization and integration with existing tools and workflows. It includes readers for various well-known file formats and offers more than 200 filters and tools for data processing and visualization.

Pricing

Starting Price:
Free
Free Version:
Free Version available.

Integrations

Ratings/Reviews

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Company Information

Kitware
Founded: 1998
United States
www.paraview.org

Videos and Screen Captures

ParaView Screenshot 1
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Product Details

Platforms Supported
Windows
Mac
Linux
Training
Documentation
Videos
Support
Online

ParaView Frequently Asked Questions

Q: What kinds of users and organization types does ParaView work with?
Q: What languages does ParaView support in their product?
Q: What kind of support options does ParaView offer?
Q: What other applications or services does ParaView integrate with?
Q: What type of training does ParaView provide?
Q: How much does ParaView cost?

ParaView Product Features

CFD

Data Analysis

Data Visualization
Text Analytics
Regression Analysis
Data Discovery
Sentiment Analysis
High Volume Processing
Statistical Modeling
Predictive Analytics

Data Visualization

Simulation Models
Dashboard Creation
Visual Discovery
Relational Display
Analytics
OLAP
Filtered Views
Content Management