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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
The websockets library offers a comprehensive implementation of the WebSocket Protocol (RFC 6455 & 7692) for creating both WebSocket servers and clients in Python, emphasizing accuracy, simplicity, durability, and high performance. Utilizing asyncio, which is Python’s built-in asynchronous I/O framework, it presents a sophisticated coroutine-based API that streamlines development. The library has undergone extensive testing to ensure it meets the requirements outlined in RFC 6455, and its continuous integration process mandates that every branch achieves 100% coverage. Designed specifically for production environments, websockets was notably the first library to effectively address backpressure issues before they gained widespread attention in the Python ecosystem. Furthermore, it offers optimized and adjustable memory usage, and utilizes a C extension to enhance performance for demanding operations. The library is conveniently pre-compiled for Linux, macOS, and Windows, and is distributed in wheel format tailored for each system and Python version. With websockets managing the intricate details, developers can dedicate their efforts to building robust applications without concern for the underlying complexities. This makes it an essential tool for developers looking to harness the full potential of WebSocket technology.
API Access
Has API
API Access
Has API
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
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
PyQtGraph
Website
www.pyqtgraph.org
Vendor Details
Company Name
Python Software Foundation
Country
United States
Website
pypi.org/project/websockets/