PyQtGraph

A pure-python graphics library thatm uses the Qt framework.

Copyright 2026 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.

PyQtGraph has adopted SPEC 0.

This project supports:

• Python versions released within the last 3 years
• NumPy, SciPy and matplotlib versions released within the last 2 years
• Qt5 5.15 or Qt6 6.8+

Currently this means:

• Python 3.12+
• Qt 5.15 or 6.8+
• PyQt5, or PyQt6, or PySide6
• numpy 2.2+

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

• Report issues on the GitHub issue tracker
• Post questions to
  • mailing list / forum
  • StackOverflow
  • GitHub Discussions
  • Python Discord

• 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.

The official documentation lives at pyqtgraph.readthedocs.io

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

There is support for the asv benchmarking library. Should a user have cuda installed on their system, they should edit asv.conf.json file, and add the entry "cupy-cuda##x": [""] to the matrix.req section (where ## is the version of cuda is the version of cuda installed on your machine). It relavent section should look like the the following.

...
    "req": {
      "pyqt6": [""],
      "pyqt5": [""],
      "PySide6-Essentials": [""],
      "numba": [""],
      "cupy-cuda##x": [""]  // add this line, replace ## with cuda version
    }
...

As a variety of different versions of python and Qt bindings are tested, running the full benchmark suite can take a while!

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

• ACQ4
• Antenna Array Analysis
• argos
• Atomize
• BEC Widgets
• EnMAP-Box
• EO Time Series Viewer
• ephyviewer
• Exo-Striker
• GraPhysio
• HussariX
• Joulescope
• MaD GUI
• neurotic
• Bio Silicon Intelligence System
• Orange3
• PatchView
• pyplotter
• PyMeasure
• PySpectra
• rapidtide
• Semi-Supervised Semantic Annotator
• STDF-Viewer
• strange-attractors-qt
• QT-DataViewer
• TemCompanion

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