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napari: a multi-dimensional image viewer for Python

Authors: Sofroniew, Nicholas; Lambert, Talley; Bokota, Grzegorz; Nunez-Iglesias, Juan; Sobolewski, Peter; Sweet, Andrew; Gaifas, Lorenzo; +75 Authors

doi: 10.5281/zenodo.13308397 , 10.5281/zenodo.6519294 , 10.5281/zenodo.13309520 , 10.5281/zenodo.17367124 , 10.5281/zenodo.15465370 , 10.5281/zenodo.17312776 , 10.5281/zenodo.7262179 , 10.5281/zenodo.14719463 , 10.5281/zenodo.16870015 , 10.5281/zenodo.7276432 , 10.5281/zenodo.13851188 , 10.5281/zenodo.17239593 , 10.5281/zenodo.12805667 , 10.5281/zenodo.17366569 , 10.5281/zenodo.15301759 , 10.5281/zenodo.8100286 , 10.5281/zenodo.15421167 , 10.5281/zenodo.12798676 , 10.5281/zenodo.16351526 , 10.5281/zenodo.14680029 , 10.5281/zenodo.13863809 , 10.5281/zenodo.15756319 , 10.5281/zenodo.12814489 , 10.5281/zenodo.6598542 , 10.5281/zenodo.15269320 , 10.5281/zenodo.13845843 , 10.5281/zenodo.14427406 , 10.5281/zenodo.12703943 , 10.5281/zenodo.8113526 , 10.5281/zenodo.13307439 , 10.5281/zenodo.16883660 , 10.5281/zenodo.8112061 , 10.5281/zenodo.6594703 , 10.5281/zenodo.14380531 , 10.5281/zenodo.12687094 , 10.5281/zenodo.15657344 , 10.5281/zenodo.17211407 , 10.5281/zenodo.6573868 , 10.5281/zenodo.8115575 , 10.5281/zenodo.13619583 , 10.5281/zenodo.7149856 , 10.5281/zenodo.8072318 , 10.5281/zenodo.15421058 , 10.5281/zenodo.6597502 , 10.5281/zenodo.16627702 , 10.5281/zenodo.7251050 , 10.5281/zenodo.13862705 , 10.5281/zenodo.12800570 , 10.5281/zenodo.15314358 , 10.5281/zenodo.13611334 , 10.5281/zenodo.8076424 , 10.5281/zenodo.15459867 , 10.5281/zenodo.17244755 , 10.5281/zenodo.13850834 , 10.5281/zenodo.6583997 , 10.5281/zenodo.14711711 , 10.5281/zenodo.6578792 , 10.5281/zenodo.15742224 , 10.5281/zenodo.12556492 , 10.5281/zenodo.15302860 , 10.5281/zenodo.7117339 , 10.5281/zenodo.17247618 , 10.5281/zenodo.12686678 , 10.5281/zenodo.13544068 , 10.5281/zenodo.12608849 , 10.5281/zenodo.15779115 , 10.5281/zenodo.7272433 , 10.5281/zenodo.13859720 , 10.5281/zenodo.16571108 , 10.5281/zenodo.17311424 , 10.5281/zenodo.7098045 , 10.5281/zenodo.15400815 , 10.5281/zenodo.15193038 , 10.5281/zenodo.3555620 , 10.5281/zenodo.6594887 , 10.5281/zenodo.12722145 , 10.5281/zenodo.15029515 , 10.5281/zenodo.17245667

napari: a multi-dimensional image viewer for Python

Abstract

napari 0.5.2 ⚠️ Note: these release notes are still in draft while 0.5.2 is in release candidate testing. ⚠️ Monday, Aug 12, 2024 We're happy to announce the release of napari 0.5.2! napari is a fast, interactive, multi-dimensional image viewer for Python. It's designed for exploring, annotating, and analyzing multi-dimensional images. It's built on Qt (for the GUI), VisPy (for performant GPU-based rendering), and the scientific Python stack (NumPy, SciPy, and friends). For more information, examples, and documentation, please visit our website: https://napari.org/ Highlights This is primarily a bug-fix release, but we snuck a couple of new features in there, including smoother, prettier, better rendering of Labels volumes in 3D (#7100) and the ability to display scale bar at a fixed length in world coordinates, rather than having it resize dynamically to take up a small part of the screen (#7167). See below for the full list of changes! New Features Add option for smoother labels rendering in 3D (#7100) Add optional fixed length parameter to scale bar (#7167) Improvements Update shortcuts.py to have Enter be primary Shapes completion (#7063) Change shortcuts _mark_conflicts logic to always compare between strings representations of shortcuts (#7124) Allow easy call single benchmark (#7145) Bug Fixes [bugfix] update Point size slider on selection (current_size event) (#7137) Disconnect all dims events when closing viewer (#7140) Update event connection order (#7150) Run slider animation without using timer (#7158) Emit highlight event only if selection changed (#7162) [Bugfix] Only import darkdetect when needed (#7163) FIX QtViewer._open_files_dialog handing of stack (#7172) Documentation Update example annotate_segmentation_with_text.py to add link to the tutorial (#7134) Document command ID naming conventions (docs#405) Turn on warnings as error option for sphinx build (docs#409) Update version switcher for v0.5.1 (docs#468) Add documentation for run benchmark under debugger (docs#470) Update installation notes about macOS arm processors and Qt5 backends (docs#471) Fix docs CI (docs#472) Add October and July workshops from 2023 (docs#473) Add 0.5.2 release notes (docs#476) Other Pull Requests [pre-commit.ci] pre-commit autoupdate (#7000) Add CI action to check that set milestone is the next release (#7083) Use app-model KeyBinding.to_text and KeyCode.os_symbol over Shortcut logic (#7113) Add some basic codeowners (#7118) Clean action manager to avoid side effects during tests (#7120) [maint] Drop singularity action to fix failed container action (#7121) Remove post identifier in fetching release notes (#7125) Update coverage, hypothesis, magicgui, matplotlib, napari-plugin-manager, npe2, pytest, tensorstore, tifffile, tqdm, xarray (#7138) ci(dependabot): bump the actions group across 1 directory with 2 updates (#7147) [Maint] Update version_denylist.txt to block mpl 3.9.1 on windows (#7154) [Maint] Increase timeout in test_async_out_of_bounds_layer_loaded to 500 ms (#7157) Use delete instead of getmethod for delete ready to merge label (#7160) [pre-commit.ci] pre-commit autoupdate (#7161) fix: typo in shape model name (#7166) Update dask, hypothesis, magicgui, matplotlib, pyyaml (#7169) Update docs constraints to pin sphinx<8 (#7170) Move parallel setting for coverage calculation to tox.ini (#7173) Clarify workflow names (#7174) correct typos in comments (#7175) MNT Parametrize test_open_files_dialog to check for stack True and False (#7176) Update babel, hypothesis, lxml, numpydoc, tifffile (#7179) Remove post identifier when determine deploy directory (docs#467) 12 authors added to this release (alphabetical) (+) denotes first-time contributors 🥳 andrew sweet - @andy-sweet Antoine J.-F. Salomon - @AJFSalomon + Ashley Anderson - @aganders3 Daniel Althviz Moré - @dalthviz Grzegorz Bokota (docs) - @Czaki Johannes Soltwedel - @jo-mueller Juan Nunez-Iglesias - @jni kyle i. s. harrington - @kephale Lorenzo Gaifas - @brisvag Lucy Liu (docs) - @lucyleeow Melissa Weber Mendonça (docs) - @melissawm Peter Sobolewski - @psobolewskiPhD 13 reviewers added to this release (alphabetical) (+) denotes first-time contributors 🥳 andrew sweet - @andy-sweet Antoine J.-F. Salomon - @AJFSalomon + Ashley Anderson - @aganders3 Draga Doncila Pop - @DragaDoncila Grzegorz Bokota (docs) - @Czaki Johannes Soltwedel - @jo-mueller Jordão Bragantini - @JoOkuma Juan Nunez-Iglesias - @jni Lorenzo Gaifas - @brisvag Lucy Liu (docs) - @lucyleeow Melissa Weber Mendonça (docs) - @melissawm Peter Sobolewski - @psobolewskiPhD Wouter-Michiel Vierdag - @melonora

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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234
Top 0.1%
Top 1%
Top 0.1%