napari 0.2.9#

We’re happy to announce the release of napari 0.2.9! 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

Highlights#

  • better support for surface timeseries (#831)

  • contrast limits slider popup on right click (#837)

  • better isosurface rendering with colormaps (#840)

  • attenuated MIP mode for better 3D rendering (#846)

New Features#

  • convert layer properties to dictionary (#686)

  • better support for surface timeseries (#831)

  • make contrast_limits_range public and climSlider popup on right click (#837)

  • attenuated MIP mode for better 3D rendering (#846)

Improvements#

  • bump numpydoc dependency to 0_9_2 for faster startup (#830)

  • better isosurface rendering with colormaps (#840)

  • add nearest interpolation mode to volume rendering for better labels support (#841)

  • refactor RangeSlider to accept data range and values. (#844)

  • in bindings logic, check if generator, not generator function (#853)

Bug Fixes#

  • fix fullscreen crash for test_viewer (#849)

  • fix RangeSlider.rangeChange emit type bug (#856)

API Changes#

  • edge_color and face_color now refer to colors of all points and shapes in layer, current_edge_color and current_face_color now refer to the colors currently selected in the GUI (#686)

5 authors added to this release (alphabetical)#

4 reviewers added to this release (alphabetical)#

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