VisPy 0.6 released!

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David Hoese

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Jul 12, 2019, 9:41:05 AM7/12/19
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I am extremely excited to announce that VisPy 0.6 has finally been released!

Changes
  • Update PyQt5/PySide2 to use newer GL API
  • Update to PyQt5 as default backend
  • New Cython-based text rendering option
  • New WindbarbVisual
  • Improved JupyterLab/Notebook widget (experimental)
  • Fix various memory leaks
  • Various optimizations and bug fixes
Building/Testing

This release includes new cython extensions, optional/experiment Jupyter widgets, and some previously bundled dependencies changed to external dependencies. This means that although we've added new features, we've also increased the chance of build issues. That's why this is also the first release that we're providing binary wheels on PyPI to make installation easier (especially for Windows users). As always, VisPy is also available with conda from conda-forge. See the installation instructions for more info (http://vispy.org/installation.html#installation-options).

If you encounter any issues please file them on GitHub.

Python 2 Support

VisPy 0.6 will be the last minor release supporting Python 2. We will still make bug releases for 0.6, if needed, until the end of the year.

Contributors

You may have noticed that VisPy's releases are few and far between. I hope to improve this in the future as build systems become more stable and VisPy's code gets cleaned up.

That said, VisPy has a lot of room for new contributors and we welcome any and everyone who wants to contribute. You don't need OpenGL experience and can contribute with documentation updates, bug fixes, new features, reviewing pull requests and issues, or answering questions on gitter.

Links


Thanks everyone!

Dave (@djhoese)

David Hoese

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Jul 28, 2019, 2:13:04 PM7/28/19
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VisPy 0.6.1 has been released! Besides fixing a couple examples to work with PyQt5, this release includes two fixes:

1. Fix the flipped order of colors for discrete colormaps (interpolation='zero'). Thanks Eric Perlman (@perlman).
2. Fix flipped zooming direction with the jupyter extension. Thanks Matthew Spellings (@klarh)

Otherwise, thanks to everyone who helped review and test pull requests. As always, if you find any issues please file a bug on Github.

Dave
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