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PyQtGraph is a pure-Python graphics and GUI library built on PyQt5/PySide2 and NumPy. It is intended for use in mathematics, scientific, and engineering applications. Despite being written entirely in Python, the library is very fast due to its heavy leverage of NumPy for number crunching, Qt’s GraphicsView framework for 2D display, and OpenGL for 3D display.

PyQtGraph provides a wide range of features for data visualization and GUI development, including:

  • A variety of plot widgets, including line plots, scatter plots, image plots, and 3D plots
  • Interactive tools for panning, zooming, and selecting data
  • A powerful scenegraph for managing graphics items
  • A widget tree for building complex user interfaces
  • Parameter trees for configuring applications and experiments
  • Flowcharts for visualizing data flow
  • Multiprocessing support for parallel computing

PyQtGraph is a popular choice for developing scientific and engineering applications because it is fast, flexible, and easy to use. It is also open source and cross-platform, making it a good choice for projects that need to be portable and scalable.

Here are some examples of how PyQtGraph can be used:

  • To create interactive plots of scientific data
  • To develop graphical user interfaces for scientific applications
  • To build custom data visualization tools
  • To create real-time monitoring and control applications
  • To develop educational and research software

If you are looking for a powerful and flexible graphics and GUI library for Python, PyQtGraph is a great option to consider.

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