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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 LogPlot8?

LogPlot is an easy-to-use software designed for plotting logs, featuring a user-friendly data editor and customizable log layouts. Since 1983, geoscientists have relied on LogPlot to effectively visualize their geotechnical and environmental datasets. Users can create single-page logs for shallow boreholes or opt for multi-page and continuous logs suited for deeper wells. Additionally, logs can be conveniently shared with clients through PDF format or published as HTML pages on websites, while also offering the ability to export both single and continuous logs as images in formats such as JPG, BMP, TIFF, and PNG. This versatility makes LogPlot an essential tool for professionals in the geoscience field.

Media

Media

Integrations Supported

Python
RockWorks

Integrations Supported

Python
RockWorks

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$899.00
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

RockWare, Inc.

Date Founded

1983

Company Location

United States

Company Website

www.rockware.com/product/logplot/

Categories and Features

Categories and Features

Environmental

Air Management
Auditing
Compliance Management
Document Management
Emissions Inventory
Hazardous Materials Control
Sustainability Management
Training Management
Waste Management
Water Management

Mining

3D Modeling
Cross Section Creation
Data Exchange
Data Storage
Exception Notification
Fence Diagrams
Log Map Creation
People Tracking
Pit Optimization Reporting
Risk Management
Volumetrics

Oil and Gas

Compliance Management
Equipment Management
Inventory Management
Job Costing
Logistics Management
Maintenance Management
Material Management
Project Management
Resource Management
Scheduling
Work Order Management

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