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  1. Home — VisPy

    VisPy is a high-performance interactive 2D/3D data visualization library leveraging the computational power of modern Graphics Processing Units (GPUs) through the OpenGL …

  2. Resources — VisPy

    The OpenGL Registry contains specifications, header files, and related documentation for OpenGL and related APIs including GLU, GLX, and WGL. Quick reference for the built-in …

  3. Getting Started - VisPy

    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. Users in this category can …

  4. Getting Started - gloo — VisPy

    While OpenGL is complicated, gloo tries to provide a simple to use object-oriented layer on top of that. The guide below will walk through the basics of using VisPy’s gloo interface to create a …

  5. Installation — VisPy

    VisPy requires at least one toolkit for opening a window and creates an OpenGL context. This can be done using any one of the following.

  6. vispy.org

    In general, except for some very specific cases, OpenGL Programs can only be executed one at a time by a single OpenGL context. This means that in your VisPy visualization each Visual …

  7. vispy.gloo.buffer module

    The set_data is a deferred operation: you can call it even if an OpenGL context is not available. The update function is responsible to upload pending data to GPU memory and requires an …

  8. vispy.app.canvas module — VisPy

    A dict with OpenGL configuration options, which is combined with the default configuration options and used to initialize the context. See canvas.context.config for possible options. shared …

  9. Simple use of a grid layout - VisPy

    Plot data with different styles; Line plot and colorbar; Scatter plot and histograms; Spectrogram and Line Plot; Multi-view Volume Plot; Gallery; Scene; Grid Layouts; Simple use of a grid …

  10. vispy.org

    # -*- coding: utf-8 -*- # ----- # Copyright (c) Vispy Development Team. All Rights Reserved.