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Embeddable 2D plot widgets for PyQt/PySide applications with interactive pan, zoom, and exploration.
Distinct from Interactive Plot Exploration Widgets: Distinct from Interactive Plot Exploration Widgets: targets desktop GUI frameworks (PyQt/PySide) rather than browser-based widgets.
Explore 1 awesome GitHub repository matching scientific & mathematical computing · Desktop Plot Widgets. Refine with filters or upvote what's useful.
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
Creates responsive 2D plots within PyQt/PySide applications with pan, zoom, and real-time exploration.