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Draws interactive plot elements such as curves, scatter points, bars, images, and regions on a canvas.
Distinct from 2D Rendering Engines: Distinct from 2D Rendering Engines: focuses on scientific plot-specific items rather than general 2D graphics rendering.
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PyQtGraph is a scientific plotting and graphics framework built for PyQt and PySide applications, providing fast, interactive 2D and 3D visualizations with GPU-accelerated rendering. It serves as both a real-time signal monitoring system for streaming time-series data and a toolkit for constructing interactive data dashboards with dockable panels, parameter trees, and custom widgets. The library also includes a node-based visual flowchart tool for building data processing pipelines and a scientific graphics export system that saves plots as PNG, SVG, or CSV and converts items to Matplotlib for
Draws interactive plot elements like curves, scatter points, bars, images, and regions on a canvas.