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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 Building Manager Online?

Building Manager Online provides users with quick and easy access to energy data. Through BMO, you can effortlessly create charts and analyze your data without the need for any specialized software installations. Simply log into the BMO website, look for alerts, select your preferred date range from a user-friendly drop-down menu, and you can instantly retrieve data that ranges from a year to just one hour with a single click. Obtaining a summary of operational metrics for any building or specific end-use is a straightforward process. Moreover, BMO allows users to easily copy and paste graphs into reports, complete with informative legends for enhanced understanding. The "Click to Zoom" feature simplifies the process of pinpointing potential issues within a building. You can also generate charts to monitor trends over time, specifying the date ranges to focus on pertinent information. In addition, BMO facilitates remote configuration of AcquiSuite devices in the field, which minimizes communication costs and reduces reliance on dedicated phone lines for end-users. This online platform ultimately streamlines the monitoring and management of energy data, making it a valuable tool for users. With its user-friendly interface, BMO significantly enhances the overall efficiency of energy management practices.

Media

Media

Integrations Supported

Python

Integrations Supported

Ndustrial Contxt
Switch Automation

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

$195 per year

Supported Platforms

Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

PyQtGraph

Company Website

www.pyqtgraph.org

Company Facts

Organization Name

Obvius

Company Location

United States

Company Website

www.obvius.com/Products/BMO

Categories and Features

Component Libraries

Not specified

Categories and Features

Energy Management

Cost / Use Reporting
Emissions Monitoring
Greenhouse Gas Tracking
Meter Tracking
Weather Normalization

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