napari 0.3.1#

We’re happy to announce the release of napari 0.3.1! napari is a fast, interactive, multi-dimensional image viewer for Python. It’s designed for browsing, annotating, and analyzing large multi-dimensional images. It’s built on top of Qt (for the GUI), vispy (for performant GPU-based rendering), and the scientific Python stack (numpy, scipy).

This is a bug fix release to address issues that snuck through into 0.3.0.

For more information, examples, and documentation, please visit our website: https://github.com/napari/napari

Improvements#

  • CLI accepts –plugin or any add_* kwargs (#1220)

  • Specify viewer.open(plugins=’builtins’) for all tests (#1222)

  • Unify user/plugin kwargs. Use filename for layer name (#1232)

Bug Fixes#

  • rework dask cache (#1206)

  • Use grayscale when n_channels=1 (#1217)

  • Better error on magic_imread with no files (#1218)

  • Improve plugin error messages, bump napari-plugin-engine (#1219)

  • make skimage data fixtures compatible with 0.17.0 (#1223)

  • Better icon-building strategy (#1229)

  • Unpin Jupyter client, issue seems to have resolved (#1240)

  • Don’t try to get an event.key name if there is no event.key (#1241)

  • Update guess_multiscale to deal with strange inputs (#1244)

Support#

  • Don’t build wheels with releases (#1215)

  • Update github issues templates with links to image.sc and zulip (#1234)

  • add new performance doc in new “explanations” directory (#1239)

3 authors added to this release (alphabetical)#

5 reviewers added to this release (alphabetical)#

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