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Description
ParaView is a versatile, open-source application designed for data analysis and visualization across multiple platforms, allowing users to create visual representations for both qualitative and quantitative data analysis. It features interactive 3D exploration capabilities alongside programmatic data processing through its batch processing functionality. Engineered to manage extremely large datasets, ParaView leverages distributed memory computing resources, making it ideal for use on supercomputers that process terascale data as well as on laptops for smaller datasets. The application is built with a client-server architecture, enabling remote visualization of data while generating level-of-detail models to ensure smooth interactive performance even with extensive data. Its extensible framework is grounded in open standards, promoting customization and integration with existing tools and workflows. ParaView supports a wide array of well-known file formats and boasts over 200 filters and tools for effective data processing and visualization. This extensive feature set allows users to tailor their analysis experiences to meet specific needs and enhances collaboration in data-intensive projects.
Description
Value Boxes serve as a valuable feature for smaller datasets where understanding the precise values is crucial. When activated, each node displays its corresponding value prominently near it. However, for slightly larger datasets where displaying value boxes on every node could lead to visual clutter, tooltips provide a convenient way to access a node's value as needed. In cases where tooltips do not provide enough detail, crosshairs offer a straightforward method for exploring a range of values. For extremely large datasets, where discerning a node's value requires significant zoom, the option to magnify specific points alleviates the strain of trying to focus. Additionally, incorporating scroll bars enhances the overall navigation experience. The preview window not only helps users track their current zoom level but also serves as a tool to adjust the scroll position efficiently. This combination of features ensures that users can interact with data effectively, regardless of the dataset's size.
API Access
Has API
API Access
Has API
Integrations
CMB
Kitware Glance
LidarView
Pricing Details
Free
Free Trial
Free Version
Pricing Details
$249 one-time payment
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Kitware
Founded
1998
Country
United States
Website
www.paraview.org
Vendor Details
Company Name
ZingChart
Website
www.zingchart.com
Product Features
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
Product Features
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery