Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/pyqtgraph/pyqtgraph

Fast data visualization and GUI tools for scientific / engineering applications
https://github.com/pyqtgraph/pyqtgraph

hacktoberfest numpy python qt scientific-visualization visualization

Last synced: 11 days ago
JSON representation

Fast data visualization and GUI tools for scientific / engineering applications

Host: GitHub
URL: https://github.com/pyqtgraph/pyqtgraph
Owner: pyqtgraph
License: other
Created: 2013-09-12T07:18:21.000Z (about 11 years ago)
Default Branch: master
Last Pushed: 2024-07-23T14:46:56.000Z (4 months ago)
Last Synced: 2024-07-24T11:57:48.413Z (4 months ago)
Topics: hacktoberfest, numpy, python, qt, scientific-visualization, visualization
Language: Python
Homepage: https://www.pyqtgraph.org
Size: 10.9 MB
Stars: 3,788
Watchers: 154
Forks: 1,089
Open Issues: 406
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG
- Contributing: CONTRIBUTING.md
- Funding: .github/FUNDING.yml
- License: LICENSE.txt
- Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

awesome-python-machine-learning-resources - GitHub - 31% open · ⏱️ 24.08.2022): (数据可视化)
awesome-robotic-tooling - PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications. (Data Visualization and Mission Control / Command Line Interface)
awesome-list - PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications. (Data Visualization / Data Management)

README

        PyQtGraph

=========

[![PyPi](https://img.shields.io/pypi/v/pyqtgraph.svg)](https://pypi.org/project/pyqtgraph/)

[![conda-forge](https://img.shields.io/conda/vn/conda-forge/pyqtgraph.svg)](https://anaconda.org/conda-forge/pyqtgraph)

[![Build Status](https://github.com/pyqtgraph/pyqtgraph/workflows/main/badge.svg)](https://github.com/pyqtgraph/pyqtgraph/actions/?query=workflow%3Amain)

[![Documentation Status](https://readthedocs.org/projects/pyqtgraph/badge/?version=latest)](https://pyqtgraph.readthedocs.io/en/latest/?badge=latest)

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

Copyright 2024 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.

Requirements

------------

PyQtGraph has adopted [NEP 29](https://numpy.org/neps/nep-0029-deprecation_policy.html).

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](https://www.riverbankcomputing.com/software/pyqt/),

  [PyQt6](https://www.riverbankcomputing.com/software/pyqt/),

  [PySide2](https://wiki.qt.io/Qt_for_Python), or

  [PySide6](https://wiki.qt.io/Qt_for_Python)

* [`numpy`](https://github.com/numpy/numpy) 1.24+

### 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`]      | 


 Image processing through [`ndimage`]

 Data array filtering through [`signal`] 

 |

| [`pyopengl`]   | 

 3D graphics 

 Faster image processing 

 |

| [`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 
  [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/pyqtgraph/pyqtgraph/HEAD?urlpath=%2Flab%2Ftree%2Fpyqtgraph%2Fexamples%2Fnotebooks) 
 
 |

[`scipy`]: https://github.com/scipy/scipy

[`ndimage`]: https://docs.scipy.org/doc/scipy/reference/ndimage.html

[`signal`]: https://docs.scipy.org/doc/scipy/reference/signal.html

[`pyopengl`]: https://github.com/mcfletch/pyopengl

[`h5py`]: https://github.com/h5py/h5py

[`colorcet`]: https://github.com/holoviz/colorcet

[`matplotlib`]: https://github.com/matplotlib/matplotlib

[`numba`]: https://github.com/numba/numba

[`cupy`]: https://docs.cupy.dev/en/stable/install.html

[`jupyter_rfb`]: https://github.com/vispy/jupyter_rfb

Support

-------

* Report issues on the [GitHub issue tracker](https://github.com/pyqtgraph/pyqtgraph/issues)

* Post questions to

  * [mailing list / forum](https://groups.google.com/forum/?fromgroups#!forum/pyqtgraph)

  * [StackOverflow](https://stackoverflow.com/questions/tagged/pyqtgraph)

  * [GitHub Discussions](https://github.com/pyqtgraph/pyqtgraph/discussions)

  * [Python Discord](https://discord.com/channels/267624335836053506/898139460821192724)

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](https://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](https://github.com/acq4/acq4)

* [Antenna Array Analysis](https://github.com/rookiepeng/antenna-array-analysis)

* [argos](https://github.com/titusjan/argos)

* [Atomize](https://github.com/Anatoly1010/Atomize)

* [EnMAP-Box](https://enmap-box.readthedocs.io)

* [EO Time Series Viewer](https://eo-time-series-viewer.readthedocs.io)

* [ephyviewer](https://ephyviewer.readthedocs.io)

* [Exo-Striker](https://github.com/3fon3fonov/exostriker)

* [GraPhysio](https://github.com/jaj42/GraPhysio)

* [HussariX](https://github.com/sem-geologist/HussariX)

* [Joulescope](https://www.joulescope.com/)

* [MaD GUI](https://github.com/mad-lab-fau/mad-gui)

* [neurotic](https://neurotic.readthedocs.io)

* [Bio Silicon Intelligence System](https://github.com/Unlimited-Research-Cooperative/Bio-Silicon-Synergetic-Intelligence-System)

* [Orange3](https://orangedatamining.com/)

* [PatchView](https://github.com/ZeitgeberH/patchview)

* [pyplotter](https://github.com/pyplotter/pyplotter)

* [PyMeasure](https://github.com/pymeasure/pymeasure)

* [PySpectra](http://hasyweb.desy.de/services/computing/Spock/node138.html)

* [rapidtide](https://rapidtide.readthedocs.io/en/latest/)

* [Semi-Supervised Semantic Annotator](https://gitlab.com/s3a/s3a)

* [STDF-Viewer](https://github.com/noonchen/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!