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)
5 reviewers added to this release (alphabetical)¶
Juan Nunez-Iglesias - @jni
Kevin Yamauchi - @kevinyamauchi
Nicholas Sofroniew - @sofroniewn
Philip Winston - @pwinston
Talley Lambert - @tlambert03