Description
A pure-Python graphics library for PyQt/PySide
PyQtGraph alternatives and similar packages
Based on the "Data Visualization" category.
Alternatively, view PyQtGraph alternatives based on common mentions on social networks and blogs.
-
Apache Superset
Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset] -
diagrams
:art: Diagram as Code for prototyping cloud system architectures -
redash
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data. -
plotly
The interactive graphing library for Python :sparkles: This project now includes Plotly Express! -
Flask JSONDash
:snake: :bar_chart: :chart_with_upwards_trend: Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go. -
Cartopy
Cartopy - a cartographic python library with matplotlib support -
ipyvizzu
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax. -
GooPyCharts
A Google Charts API for Python, meant to be used as an alternative to matplotlib.
Access the most powerful time series database as a service
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
Do you think we are missing an alternative of PyQtGraph or a related project?
README
PyQtGraph
A pure-Python graphics library for PyQt5/PyQt6/PySide2/PySide6
Copyright 2020 Luke Campagnola, University of North Carolina at Chapel Hill
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.
- All minor versions of Qt 5 and Qt 6 currently supported by upstream Qt
Currently this means:
- Python 3.7+
- Qt 5.12-6.0
- Required
- PyQt5, PyQt6, PySide2 or PySide6
numpy
1.17+
- Optional
scipy
for image processingpyopengl
for 3D graphicspyopengl
on macOS Big Sur only works with python 3.9.1+hdf5
for large hdf5 binary format supportcolorcet
for supplemental colormapscupy
for CUDA-enhanced image processing- On Windows, CUDA toolkit must be >= 11.1
Qt Bindings Test Matrix
The following table represents the python environments we test in our CI system. Our CI system uses Ubuntu 20.04, Windows Server 2019, and macOS 10.15 base images.
Qt-Bindings | Python 3.7 | Python 3.8 | Python 3.9 |
---|---|---|---|
PySide2-5.12 | :white_check_mark: | :x: | :x: |
PyQt5-5.12 | :white_check_mark: | :x: | |
PySide2-5.15 | :white_check_mark: | ||
PyQt5-5.15 | :white_check_mark: | ||
PySide6-6.0 | :white_check_mark: | ||
PyQt6-6.0 | :white_check_mark: |
- :x: - Not compatible
- :white_check_mark: - Tested
Support
- Report issues on the GitHub issue tracker
- Post questions to the mailing list / forum or StackOverflow
Installation Methods
- From PyPI:
- Last released version:
pip install pyqtgraph
- Latest development version:
pip install git+https://github.com/pyqtgraph/[email protected]
- Last released version:
- From conda
- Last released version:
conda install -c conda-forge pyqtgraph
- Last released version:
- 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
- Orange3
- neurotic
- ephyviewer
- Joulescope
- rapidtide
- argos
- PySpectra
- Semi-Supervised Semantic Annotator
Do you use PyQtGraph in your own project, and want to add it to the list? Submit a pull request to update this listing!