A pure-Python graphics library for PyQt5/PyQt6/PySide6
Copyright 2025 PyQtGraph developers
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:
Through 3rd party libraries, additional functionality may be added to PyQtGraph, see the table below for a summary.
| Library | Added functionality |
|---|---|
scipy |
|
pyopengl |
|
h5py |
|
colorcet |
|
matplotlib |
|
cupy |
|
numba |
|
jupyter_rfb |
- Report issues on the GitHub issue tracker
- Post questions to
- From PyPI
- Last released version:
pip install pyqtgraph - Latest development version:
pip install git+https://github.com/pyqtgraph/pyqtgraph@master
- Last released version:
- From conda
- Last released version:
conda install -c conda-forge pyqtgraph
- Last released version:
- 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
- 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
- QT-DataViewer
Do you use PyQtGraph in your own project, and want to add it to the list? Submit a pull request to update this listing!