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Nicholas Sofroniew; Talley Lambert; Kira Evans; Juan Nunez-Iglesias; Kevin Yamauchi; Ahmet Can Solak; Genevieve Buckley; Grzegorz Bokota; Tony Tung; ziyangczi; Jeremy Freeman; Peter Boone; Philip Winston; Loic Royer; Hagai Har-Gil; Shannon Axelrod; Ariel Rokem; Bryant; Hector; Mars Huang; Pranathi Vemuri; Reece Dunham; jakirkham; Alexandre de Siqueira; Bhavya Chopra; Chris Wood; Christoph Gohlke; Davis Bennett; DragaDoncila; Eric Perlman
We're happy to announce the release of napari 0.3.5! 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/napariHighlights
This release contains a number of bug fixes on various platforms. For those
interested in napari performance, we have added a new performance monitoring
mode, that can be activated by the
NAPARI_PERFMON environment variable, see
(#1262) for details. We have also added a page in the explanations section of
our docs on napari's rendering
including plans for the future.