Hi everyone,
It was a busy week last week and I forgot to send out this announcement. New versions of vispy and jupyter-rfb have been released. This vispy release includes new Filter objects for clipping Visuals by a plane, a new thin + marker (++), and various bug fixes. The new jupyter-rfb release includes major performance improvements when the optional pillow or simplejpeg dependencies are installed. See the changelogs for more information.
What is VisPy?
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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 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).
See the Gallery and many other example scripts on the VisPy website (
http://vispy.org/).
What is jupyter-rfb?
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Jupyter Remote Frame Buffer (RFB) is a jupyter widget for efficiently sending images from a jupyter kernel to a jupyter notebook. It is used by VisPy in the "jupyter_rfb" backend to display visualizations directly in jupyter notebooks.
Upgrading
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VisPy supports Python 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. We strive to keep backwards compatibility with older versions of VisPy, but interfaces are still being designed to best serve our users. As such, some things may have changed that break your existing usage. See the Release Notes (linked below) for more information on what has changed and contact the VisPy developers for help with any problems you run into.
Links
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GitHub:
https://github.com/vispy/vispy