Fast data visualization and GUI tools for scientific / engineering applications
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A pure-Python graphics library for PyQt/PySide

Copyright 2017 Luke Campagnola, University of North Carolina at Chapel Hill

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.


  • PyQt 4.7+, PySide, PyQt5, or PySide2
  • python 2.7, or 3.x
  • NumPy
  • For 3D graphics: pyopengl and qt-opengl
  • Known to run on Windows, Linux, and Mac.


Installation Methods

  • From pypi:
    • Last released version: pip install pyqtgraph
    • Latest development version: pip install git+
  • To install system-wide from source distribution: python install
  • Many linux package repositories have release versions.
  • To use with a specific project, simply copy the pyqtgraph subdirectory anywhere that is importable from your project.
  • For installation packages, see the website (


The easiest way to learn pyqtgraph is to browse through the examples; run python -m pyqtgraph.examples for a menu.

The official documentation lives at