We’re happy to announce the release of napari 0.2.1! 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).

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

New Features

  • added a code of conduct (#374)

  • added grid mode that allows for looking at layers side by side (#565)

  • added the ability to bind custom mouse functions (#544)

  • added a benchmarking suite (#573, #577)

  • added help menu with about dialog and keybindings dialog (#580, #583, #591)

Improvements

  • improved performance of the thumbnail generation for points layers (#564)

  • more comprehensive testing of keybindings functionality (#583)

  • now use square brackets to indicate auto-incremented names (#589)

  • unify file IO and add dask lazy loading of folders (#590)

API Changes

  • added the ability to pass viewer keyword arguments to our view_* methods (#584)

  • Allow add_points() to be called without an argument to create empty points layer (#594)

Bug Fixes

  • fixed some pyramid data types (#585)

  • fix points updating (#571)

  • stop vispy error catching (#551)

4 authors added to this release (alphabetical)

4 reviewers added to this release (alphabetical)