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Description
The Easy-wire mode simplifies the process of connecting components, reducing the number of clicks needed and minimizing user frustration. With unit-aware expression evaluation, you can easily visualize various signals of interest, including differential signals and power losses. The in-browser simulation and plotting tools enable quicker design and analysis, ensuring your circuit operates correctly even before you start soldering. Advanced simulation features offer options like frequency-domain (small signal) simulations, the ability to vary circuit parameters across a specified range, and integration of arbitrary Laplace transfer function blocks, among other capabilities. Handling multiple signals is made seamless with customizable plotting windows, along with vertical and horizontal markers for precise measurements and calculations. Additionally, you can easily create generic rectangular symbols for integrated circuits or system-level wiring diagrams with just a few effortless clicks, enhancing your overall design experience. This user-friendly approach allows engineers and designers to focus on creativity rather than get bogged down by complex processes.
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.
API Access
Has API
API Access
Has API
Integrations
Python
Pricing Details
$24 per year
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
CircuitLab
Website
www.circuitlab.com
Vendor Details
Company Name
PyQtGraph
Website
www.pyqtgraph.org