VisPy: interactive scientific visualization in Python

Main website: http://vispy.org

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VisPy is a high-performance interactive 2D/3D data visualization library. VisPy leverages the computational power of modern Graphics Processing Units (GPUs) through the OpenGL library to display very large datasets. Applications of VisPy include:

  • High-quality interactive scientific plots with millions of points.

  • Direct visualization of real-time data.

  • Fast interactive visualization of 3D models (meshes, volume rendering).

  • OpenGL visualization demos.

  • Scientific GUIs with fast, scalable visualization widgets (Qt or IPython notebook with WebGL).

Releases

See [CHANGELOG.md](./CHANGELOG.md).

Announcements

See the VisPy Website.

Using VisPy

VisPy is a young library under heavy development at this time. It targets two categories of users:

  1. Users knowing OpenGL, or willing to learn OpenGL, who want to create beautiful and fast interactive 2D/3D visualizations in Python as easily as possible.

  2. Scientists without any knowledge of OpenGL, who are seeking a high-level, high-performance plotting toolkit.

If you’re in the first category, you can already start using VisPy. VisPy offers a Pythonic, NumPy-aware, user-friendly interface for OpenGL ES 2.0 called gloo. You can focus on writing your GLSL code instead of dealing with the complicated OpenGL API - VisPy takes care of that automatically for you.

If you’re in the second category, we’re starting to build experimental high-level plotting interfaces. Notably, VisPy now ships a very basic and experimental OpenGL backend for matplotlib.

Installation

Please follow the detailed installation instructions on the VisPy website.

Structure of VisPy

Currently, the main subpackages are:

  • app: integrates an event system and offers a unified interface on top of many window backends (Qt4, wx, glfw, jupyter notebook, and others). Relatively stable API.

  • gloo: a Pythonic, object-oriented interface to OpenGL. Relatively stable API.

  • scene: this is the system underlying our upcoming high level visualization interfaces. Under heavy development and still experimental, it contains several modules.

    • Visuals are graphical abstractions representing 2D shapes, 3D meshes, text, etc.

    • Transforms implement 2D/3D transformations implemented on both CPU and GPU.

    • Shaders implements a shader composition system for plumbing together snippets of GLSL code.

    • The scene graph tracks all objects within a transformation graph.

  • plot: high-level plotting interfaces.

The API of all public interfaces are subject to change in the future, although app and gloo are relatively stable at this point.

Code of Conduct

The VisPy community requires its members to abide by the Code of Conduct. In this CoC you will find the expectations of members, the penalties for violating these expectations, and how violations can be reported to the members of the community in charge of enforcing this Code of Conduct.

Genesis

VisPy began when four developers with their own visualization libraries decided to team up: Luke Campagnola with PyQtGraph, Almar Klein with Visvis, Cyrille Rossant with Galry, Nicolas Rougier with Glumpy.

Now VisPy looks to build on the expertise of these developers and the broader open-source community to build a high-performance OpenGL library.

External links

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.17.0)

3 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for Almar from gravatar.com Almar Avatar for dhoese from gravatar.com dhoese Avatar for Eric89GXL from gravatar.com Eric89GXL

Credits

Author: Vispy contributors

License

BSD License ((new) BSD)

Requires

Python >=3.6

Tags

visualization OpenGl ES medical imaging 3D plotting numpy bigdata ipython jupyter widgets

Classifiers

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0.17.0

41 files

0.16.2

36 files

0.16.1

36 files

0.16.0

36 files

0.15.2

26 files

0.15.1

26 files

0.15.0

25 files

0.14.3

21 files

0.14.2

26 files

0.14.1

26 files

0.14.0

26 files

0.13.0

25 files

0.12.2

21 files

0.12.1

17 files

0.12.0

17 files

0.11.0

17 files

0.10.0

17 files

0.9.6

17 files

0.9.5

17 files

0.9.4

16 files

0.9.3

16 files

This release

0.9.2 This release

13 files

0.9.1

13 files

0.9.0

13 files

0.8.1

13 files

0.8.0

13 files

0.7.3

13 files

0.7.2

13 files

0.7.1

19 files

0.7.0

19 files

0.6.6

29 files

0.6.5

22 files

0.6.4

22 files

0.6.3

22 files

0.6.2

16 files

0.6.1

16 files

0.6.0

16 files

0.5.3

1 file

0.5.2

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0.5.1

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0.5.0

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0.4.0

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0.3.0

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0.2.1

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0.1.0

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