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Awesome GitHub RepositoriesQt GraphicsView Plots
Interactive line, scatter, and image plots rendered using Qt's GraphicsView framework for responsive visualization.
Distinct from Scientific Plot Customizers: Distinct from Scientific Plot Customizers: focuses on the rendering framework (Qt GraphicsView) rather than plot customization tools.
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Awesome Qt GraphicsView Plots GitHub Repositories
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- pyqtgraph/pyqtgraph
pyqtgraph/pyqtgraph
4,297在 GitHub 上查看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
Displays interactive line, scatter, and image plots using Qt's GraphicsView framework for fast visualization.
Pythonhacktoberfestnumpypython
