PyQtGraph

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

http://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:

Python 3.9+

Qt 5.15, 6.2+

PyQt5, PyQt6, PySide2, or PySide6

numpy 1.21+

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 Note: on macOS Big Sur only works with python 3.9.1+
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

Support

Report issues on the GitHub issue tracker

Post questions to

mailing list / forum

StackOverflow

GitHub Discussions

Python Discord

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

To install system-wide from source distribution: python setup.py 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.

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!

ACQ4

Antenna Array Analysis

argos

Atomize

EnMAP-Box

EO Time Series Viewer

ephyviewer

Exo-Striker

GraPhysio

HussariX

Joulescope

MaD GUI

neurotic

Orange3

PatchView

pyplotter

PyMeasure

PySpectra

rapidtide

Semi-Supervised Semantic Annotator

STDF-Viewer

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