Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
PyQtGraph is a graphics and GUI library developed in pure Python, utilizing PyQt/PySide alongside NumPy, designed primarily for applications in mathematics, science, and engineering. Despite its complete implementation in Python, the library achieves impressive speed by effectively utilizing NumPy for numerical computations and the Qt GraphicsView framework for efficient rendering. Released under the MIT open-source license, PyQtGraph supports fundamental 2D plotting through interactive view boxes, enabling line and scatter plots with user-friendly mouse control for panning and scaling. Its ability to handle various data types, including integers, floats, and different bit depths, is complemented by functionalities for slicing multidimensional images at various angles, making it particularly useful for MRI data analysis. Furthermore, it facilitates rapid updates suitable for video display or real-time interactions, along with image display features that include interactive lookup tables and level adjustments. The library also provides mesh rendering capabilities with isosurface generation, while interactive viewports allow users to rotate and zoom with ease using the mouse. Additionally, it incorporates a basic 3D scenegraph, simplifying the programming process for three-dimensional data visualization. With its robust set of features, PyQtGraph caters to a wide range of visualization needs and enhances user experience through interactivity.
Description
Tomviz is a versatile open-source application that operates across different platforms, specifically tailored for processing, visualizing, and analyzing 3D tomographic datasets, with an emphasis on electron tomography. Its user-friendly graphical interface empowers users to portray objects in various forms, such as shaded contours or volumetric projections, which enhances the exploration and examination of extensive 3D tomograms. The software allows simultaneous handling of multiple datasets, offering customizable colormaps and visualization options for tasks like rotation, slicing, animation, and exporting visual content as images or videos. Users can engage in sophisticated data analysis using tools like histograms, multicorrelative statistics, various filtering options, and personalized Python scripts. Furthermore, Tomviz supports the reconstruction of tomographic data from experimental sources and includes an extensive array of Python tools aimed at 3D analysis to facilitate the implementation of custom algorithms. This powerful platform is designed to work seamlessly on 64-bit versions of Windows, macOS, and Linux operating systems, making it accessible for a wide range of users and applications. Overall, Tomviz stands out as a comprehensive solution for anyone involved in the field of electron tomography and 3D data analysis.
API Access
Has API
No
API Access
Has API
No
Integrations
Python
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
PyQtGraph
Website
www.pyqtgraph.org
Vendor Details
Company Name
Kitware
Founded
1998
Country
United States
Website
tomviz.org
Product Features
Product Features
Engineering
2D Drawing
No
3D Modeling
No
Chemical Engineering
No
Civil Engineering
No
Collaboration
No
Design Analysis
No
Design Export
No
Document Management
No
Electrical Engineering
No
Mechanical Engineering
No
Mechatronics
No
Presentation Tools
No
Structural Engineering
No