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napari/napari: 0.3.1rc0

Nicholas Sofroniew; Kira Evans; Talley Lambert; Juan Nunez-Iglesias; Ahmet Can Solak; Kevin Yamauchi; Genevieve Buckley; Tony Tung; Grzegorz Bokota; Peter Boone; Jeremy Freeman; Hagai Har-Gil; Loic Royer; Shannon Axelrod; jakirkham; Reece Dunham; Pranathi Vemuri; Mars Huang; Hector; Bryant; Ariel Rokem; Justin Kiggins; Hugo van Kemenade; Heath Patterson; Guillaume Gay; Eric Perlman; Davis Bennett; Christoph Gohlke; Bhavya Chopra; Alexandre de Siqueira

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:

  • CLI accepts --plugin or any add_* kwargs (#1220)
  • Specify'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)
  • Don't build wheels with releases (#1215)
  • Update github issues templates with links to 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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