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What is ParaView?

ParaView is a powerful open-source tool crafted for data analysis and visualization, functioning seamlessly across various platforms and empowering users to produce visual displays for both qualitative and quantitative assessments. It offers robust 3D interactive exploration capabilities in addition to batch processing options for programmatic data handling. Designed to accommodate very large datasets, ParaView utilizes distributed memory computing resources, making it suitable for deployment on supercomputers that handle terascale data, as well as on personal laptops for smaller applications. The software operates on a client-server architecture, facilitating remote data visualization while producing level-of-detail models for smooth interactivity even with large amounts of information. Its framework is designed for extensibility and is based on open standards, encouraging customization and integration into existing workflows. ParaView is compatible with a wide range of popular file formats and includes over 200 filters and tools, which significantly enhance data processing and visualization capabilities. This comprehensive suite of features empowers users to customize their analytical experiences to fit particular requirements and fosters collaboration in data-driven initiatives, ultimately broadening the scope of what can be achieved in various research fields.

What is Kitware Glance?

Glance is a powerful standalone web application developed by Kitware, Inc., designed to effectively visualize a wide variety of data types. It provides an excellent foundation for creating customized web viewers that can seamlessly connect with remote services. This open-source tool excels in visualizing volumetric images, molecular structures, geometric shapes, and point clouds. Moreover, Glance serves as a reliable base for building tailored web visualization tools that utilize ITK.js and VTK.js libraries. Being part of the ParaView ecosystem, its main objective is to allow users to quickly analyze small to medium-sized datasets. Users can easily access their data stored on their computers since Glance operates swiftly and supports multiple data formats, which facilitates quick evaluations of the most recent outcomes from ongoing algorithm developments or for visually confirming the contents of data files saved on their devices. In addition, developers can leverage Glance's framework to create innovative applications with VTK.js and ITK.js, benefiting from its architecture that supports extensive customization and versatility for various visualization requirements. This adaptability makes Glance an excellent choice for both researchers and developers who seek a dynamic and efficient tool for their data visualization tasks, allowing for an enhanced exploration of their datasets. The ability to cater to diverse visualization needs further solidifies Glance's reputation as a go-to application in the field of data analysis.

Media

Media

Integrations Supported

CMB
Kitware Glance
LidarView
ParaView
VeloView

Integrations Supported

CMB
Kitware Glance
LidarView
ParaView
VeloView

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Kitware

Date Founded

1998

Company Location

United States

Company Website

www.paraview.org

Company Facts

Organization Name

Kitware

Date Founded

1998

Company Location

United States

Company Website

kitware.github.io/glance/app/

Categories and Features

CFD

Data Analysis

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

Data Visualization

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

Categories and Features

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