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What is VGSTUDIO?

VGSTUDIO is recognized as a leading tool for assessing visual quality across a range of industries, especially within the electronics sector, while also providing exceptional capabilities for data visualization in academic fields like archaeology, geology, and life sciences. It adeptly oversees the entire workflow, starting with the precise reconstruction of three-dimensional volume data derived from CT scans, and continues through to both 3D and 2D visualizations, ultimately producing engaging animations. The software is particularly proficient in managing large CT data sets, effectively eliminating any barriers related to data size constraints. With features such as real-time ray tracing that delivers a stunningly realistic appearance, it seamlessly integrates the visualization of voxel and mesh data, including textured meshes. Users benefit from the flexibility to manipulate 2D slices in any orientation and rotate views around user-defined axes. Moreover, the software provides gray-value classification for data sets and a multitude of 3D clipping options to facilitate deeper analysis. Its capability to unfold objects or flatten freeform surfaces into a 2D format enhances its functionality, allowing users to combine consecutive slices into a unified 2D representation for thorough investigation. In summary, VGSTUDIO proves to be an essential resource for those looking to analyze and present intricate data in a visually striking manner, making it an indispensable tool for researchers and professionals alike.

What is PyQtGraph?

PyQtGraph is a comprehensive graphics and GUI library crafted entirely in Python, leveraging PyQt/PySide and NumPy, and is specifically tailored for applications in fields such as mathematics, science, and engineering. Although fully implemented in Python, this library demonstrates outstanding performance by efficiently using NumPy for numerical calculations and the Qt GraphicsView framework for optimal rendering efficiency. Available under the MIT open-source license, PyQtGraph provides essential 2D plotting capabilities through interactive view boxes, allowing for the creation of line and scatter plots that users can easily manipulate with mouse controls for panning and scaling. The library's compatibility with various data types, including integers and floats of different bit depths, is enhanced by its ability to slice multidimensional images from multiple angles, making it extremely valuable for tasks like MRI data analysis. Additionally, it supports quick updates, making it ideal for video displays or real-time interactions, and offers image display functionalities that feature interactive lookup tables and level adjustments. Moreover, the library includes mesh rendering capabilities along with isosurface generation, and its interactive viewports enable users to effortlessly rotate and zoom using mouse gestures. It also integrates a straightforward 3D scenegraph, which streamlines the development process for visualizing three-dimensional data. With its extensive range of features, PyQtGraph not only meets diverse visualization requirements but also significantly enhances the user experience through its interactive design, making it a powerful tool across various scientific and engineering applications. This versatility ensures that users can effectively communicate complex data in an engaging manner.

Media

Media

Integrations Supported

Microsoft 365
Python

Integrations Supported

Microsoft 365
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Volume Graphics

Date Founded

1997

Company Location

Germany

Company Website

www.volumegraphics.com/en/products/vgstudio.html

Company Facts

Organization Name

PyQtGraph

Company Website

www.pyqtgraph.org

Categories and Features

Data Visualization

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

Categories and Features

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