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Showing content from https://github.com/pyqtgraph/pyqtgraph below:

GitHub - pyqtgraph/pyqtgraph: Fast data visualization and GUI tools for scientific

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

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 3.10+
• Qt 5.15, 6.2+
• PyQt5, PyQt6, PySide2, or PySide6
• numpy 1.25+

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

• Image processing through ndimage
• Data array filtering through signal

• 3D graphics

• Export in hdf5 format

• Add a collection of perceptually uniform colormaps

• Export of PlotItem in matplotlib figure
• Add matplotlib collection of colormaps

• CUDA-enhanced image processing
• Note: On Windows, CUDA toolkit must be >= 11.1

• Faster image processing

• Jupyter Notebook support

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

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
• Bio Silicon Intelligence System
• 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!

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