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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 Luminal?

Luminal enables users to leverage Python's power for managing spreadsheets without the usual complexities. With natural language commands, users can effortlessly clean, transform, or analyze large datasets. Anything that can be accomplished with Python is within Luminal's reach as well. You can perform sophisticated data cleaning tasks, ask complex questions, and create impressive visualizations with ease. Instead of dealing with the tedious process of manually sifting through data in Excel or writing Python scripts, let Luminal manage it efficiently, allowing you to focus on more important tasks. At Luminal, safeguarding our clients' data is a top priority, and we strictly adhere to high security standards. Protecting customer information is not merely a guideline; it is a core principle of our organization. We are dedicated to offering a seamless user experience while ensuring comprehensive security for all data processed on our platform. This commitment to security is evident in every feature we provide, making Luminal a reliable choice for data management tasks.

Media

Media

Integrations Supported

Python
Google Sheets
Microsoft Excel

Integrations Supported

Python
Google Sheets
Microsoft Excel

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$16 per user per month
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

Luminal

Date Founded

2021

Company Location

United Kingdom

Company Website

getluminal.com

Categories and Features

Categories and Features

Spreadsheet

Analytics
Audit Trail
Calculators
Charting
Multi-User Collaboration
Templates

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