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Pyqtgraph

Fast data visualization and GUI tools for scientific / engineering applications

Install / Use

/learn @pyqtgraph/Pyqtgraph
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

PyQtGraph

PyPi conda-forge Build Status Documentation Status

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

Copyright 2025 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 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:

Optional added functionalities

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

| Library | Added functionality | |----------------|-| | scipy | <ul><li> Image processing through ndimage</li><li> Data array filtering through signal </li><ul> | | pyopengl | <ul><li> 3D graphics </li></ul> | | h5py | <ul><li> Export in hdf5 format </li></ul> | | colorcet | <ul><li> Add a collection of perceptually uniform colormaps </li></ul> | | matplotlib | <ul><li> Export of PlotItem in matplotlib figure </li><li> Add matplotlib collection of colormaps </li></ul> | | cupy | <ul><li> CUDA-enhanced image processing </li></ul> | | numba | <ul><li> Faster image processing </li></ul> | | jupyter_rfb| <ul><li> Jupyter Notebook support </li> <li> Binder </li> </ul> |

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!

View on GitHub
GitHub Stars4.3k
CategoryDevelopment
Updated1d ago
Forks1.2k

Languages

Python

Security Score

85/100

Audited on Apr 1, 2026

No findings