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PyQtGraph

PyPi conda-forge Build Status Documentation Status

A pure-Python graphics library for PyQt5/PyQt6/PySide2/PySide6

Copyright 2024 PyQtGraph developers

https://www.pyqtgraph.org

PyQtGraph is intended for use in mathematics / scientific / engineering applications. Despite being written entirely in python, the library is fast due to its heavy leverage of numpy for number crunching, Qt's GraphicsView framework for 2D display, and OpenGL for 3D display.

Requirements

PyQtGraph has adopted NEP 29.

This project supports:

  • All minor versions of Python released 42 months prior to the project, and at minimum the two latest minor versions.
  • All minor versions of numpy released in the 24 months prior to the project, and at minimum the last three minor versions.
  • Qt5 5.15, and Qt6 6.2+

Currently this means:

Optional added functionalities

Through 3rd part libraries, additional functionality may be added to PyQtGraph, see the table below for a summary.

Library Added functionality
scipy
  • Image processing through ndimage
  • Data array filtering through signal
    pyopengl
    • 3D graphics
    • Faster image processing
    h5py
    • Export in hdf5 format
    colorcet
    • Add a collection of perceptually uniform colormaps
    matplotlib
    • Export of PlotItem in matplotlib figure
    • Add matplotlib collection of colormaps
    cupy
    • CUDA-enhanced image processing
    • Note: On Windows, CUDA toolkit must be >= 11.1
    numba
    • Faster image processing
    jupyter_rfb
    • Jupyter Notebook support
    • Binder

    Support

    Installation Methods

    • From PyPI
      • Last released version: pip install pyqtgraph
      • Latest development version: pip install git+https://github.com/pyqtgraph/pyqtgraph@master
    • From conda
      • Last released version: conda install -c conda-forge pyqtgraph
    • Many linux package repositories have release versions.

    Documentation

    The official documentation lives at pyqtgraph.readthedocs.io

    The easiest way to learn PyQtGraph is to browse through the examples; run python -m pyqtgraph.examples to launch the examples application.

    Used By

    Here is a partial listing of some of the applications that make use of PyQtGraph!

    Do you use PyQtGraph in your own project, and want to add it to the list? Submit a pull request to update this listing!