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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.

What is Angular Material?

Components crafted for global use and accessibility are accessible to every user. They are subjected to extensive testing to ensure they deliver superior performance and reliability. The APIs are user-friendly and maintain consistent functionality across various platforms. Developers have access to resources that enable them to build customized components that follow standard interaction protocols. While customization is encouraged, it remains aligned with the principles of Material Design. Created by the Angular team, these components are designed to integrate seamlessly with Angular applications. You have the option to start from scratch or incorporate them into your pre-existing projects. Begin by developing the autocomplete panel alongside the options that will be displayed within it. Each option must be wrapped in a mat-option tag, and the value property for each option can be defined to establish the corresponding text input value upon selection. Moreover, think about incorporating distinctive styles or features to further elevate the overall user experience. By doing so, you can create a more engaging and intuitive interface for users.

Media

Media

Integrations Supported

Angular
Material Design
Python

Integrations Supported

Angular
Material Design
Python

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

PyQtGraph

Company Website

www.pyqtgraph.org

Company Facts

Organization Name

Angular

Company Website

material.angular.io

Categories and Features

Categories and Features

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