I am happy to announce the release of VisPy 0.5. It has taken a while
for some of us new maintainers to get spun up on every component of this
project, but after more than two years since the last release VisPy is
back. Many components have been refactored, new visuals and other
features added, and over 177 pull requests merged.
What is VisPy?
VisPy is a Python library for interactive scientific visualization that
is designed to be fast, scalable, and easy to use. VisPy leverages the
computational power of modern Graphics Processing Units (GPUs) through
the OpenGL library to display very large datasets. Applications of VisPy
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).
See the Gallery and many other example scripts on the VisPy website
VisPy supports Python 2.7 and 3.x on Linux, Mac OSX, and Windows.
VisPy's heavy use of the GPU means that users will need to have modern
and up-to-date video drivers for their system. VisPy can use one of many
backends, see the documentation for details. Due to the large refactor
of VisPy, users of the previous 0.4 release will likely have to change