Package: vispy
VisPy: interactive scientific visualization in PythonMain website:http://vispy.orgVisPy is ahigh-performance interactive 2D/3D data visualization
library. VisPy leverages the computational power of modernGraphics
Processing Units (GPUs)through theOpenGLlibrary 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 (QtorIPython notebookwith WebGL).ReleasesSeeCHANGELOG.md.AnnouncementsSee theVisPy Website.Using VisPyVisPy is a young library under heavy development at this time. It
targets two categories of users: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.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 calledgloo. 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.InstallationPlease follow the detailedinstallation instructionson the VisPy website.Structure of VisPyCurrently, 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.Visualsare graphical abstractions representing 2D shapes, 3D
meshes, text, etc.Transformsimplement 2D/3D transformations implemented on both
CPU and GPU.Shadersimplements a shader composition system for plumbing
together snippets of GLSL code.Thescene graphtracks all objects within a transformation
graph.plot: high-level plotting interfaces.The API of all public interfaces are subject to change in the future,
althoughappandglooarerelativelystable at this point.Code of ConductThe VisPy community requires its members to abide by theCode 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.GovernanceThe VisPy project maintainers make decisions about the project based on a
simple consensus model. This is described in more detail on thegovernance pageof the vispy
website as well as thelist of maintainers.In addition to decisions about the VisPy project, there is also a steering
committee for the overall VisPy organization. More information about this
committee can also be found on thesteering committee pageof the vispy website,
along with the organization’scharterand
other related documents (linked in the charter).GenesisVisPy began when four developers with their own visualization libraries
decided to team up:Luke CampagnolawithPyQtGraph,Almar KleinwithVisvis,Cyrille RossantwithGalry,Nicolas RougierwithGlumpy.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 linksUser mailing
listDev mailing
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