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Record W6930807152 · doi:10.5281/zenodo.16883660

napari: a multi-dimensional image viewer for Python

2025· other· en· W6930807152 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typeother
Languageen
FieldComputer Science
TopicTopological and Geometric Data Analysis
Canadian institutionsInnovation Cluster (Canada)
Fundersnot available
KeywordsScripting languagePython (programming language)Focus (optics)Window (computing)InstallationImage editingFeature (linguistics)

Abstract

fetched live from OpenAlex

napari 0.6.4 Sat, Aug 16, 2025 We're happy to announce the release of napari 0.6.4! 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 Run scripts with napari from the command line As a follow-up to the ability to drag-n-drop scripts into the napari window from 0.6.3, you can now run scripts directly from the command line using the napari command and the path to the script (#8185 and #8187). To open a local napari and run a local script, enter: napari examples/magic_immage_arithmetic.py. You can also run scripts from a remote location (#8208), including Github, Gist, Gitlab, and the napari gallery. To run a remote script, for example, enter: napari https://github.com/napari/napari/blob/main/examples/grid_mode.py. If you have uv you can even run a script without installing napari by using uvx --with "napari[gallery,all]" napari https://napari.org/stable/_downloads/55f878f7d41dc4c7c2e28483653273cb/affine_coffee_cup.py, serving as a clever way to trial napari or share your script. As always with remote connections, only use this feature with scripts you trust. Toggling the napari console now places focus on the console Toggling the napari console (with the keyboard (Cmd/Ctrl+Shift+C), GUI, or command palette) will now transfer focus on the console, allowing you to immediately start typing commands without needing to click into the console first (#8182). We have found this to be a very useful feature for a keyboard-centric workflow combining the power of the command palette and console together. Improvements Remove old path handle in napari start (#8185) Prevent napari.run from being executed when running scripts from napari (#8187) Add option to load script from a remote location (#8208) Bug Fixes Set focus after toggling dockwidget via DockWidgetToggleAction (#8182) Fix slider label shifted down, by overrwite QLineEdit qss rules (#8184) Fix feature table widget sorting and editing of floats (#8190) Add check if selected label is out of data range. (#8202) Explicit copy of layers data for balls example (#8203) Documentation Reorganize bundle instructions page to make it easier to navigate and provide download links (docs#813) Simplify installation guide & better highlight bundle (docs#814) Update codespell config and minor corrections (docs#816) Add contracted roles to team page and rename core dev -> core TM (docs#817) Pre-release notes for 0.6.4 (docs#820) Final 0.6.4 Release Notes (docs#822) Other Pull Requests Pin Github Actions actions to their hashes (#8140) [pre-commit.ci] pre-commit autoupdate (#8193) Fix fallback version in setuptools_scm to pass schema validation (#8196) Use napari url for test rather than Fiji (#8198) [pre-commit.ci] pre-commit autoupdate (#8204) Pin pytest-qt for python 3.10 to fix pyapp-kit projects tests (#8205) Retry second fullscreen test (#8206) Fix script for checking for updated dependencies. (#8207) Update certifi, coverage, hypothesis, matplotlib, psygnal, pytest-rerunfailures, rich, scipy, superqt, virtualenv, wrapt (#8209) Update Version Switcher to 0.6.3 (docs#808) ci(dependabot): bump napari/napari from 0.6.2 to 0.6.3 in the github-actions group (docs#810) 8 authors added to this release (alphabetical) (+) denotes first-time contributors 🥳 Carol Willing - @willingc Daniel Althviz Moré - @dalthviz Draga Doncila Pop - @DragaDoncila Grzegorz Bokota - @Czaki jaime rodraguez-guerra - @jaimergp Lorenzo Gaifas - @brisvag Peter Sobolewski - @psobolewskiPhD Tim Monko (docs) - @TimMonko 8 reviewers added to this release (alphabetical) (+) denotes first-time contributors 🥳 Carol Willing - @willingc Draga Doncila Pop - @DragaDoncila Grzegorz Bokota - @Czaki Juan Nunez-Iglesias - @jni Lorenzo Gaifas - @brisvag Melissa Weber Mendonça - @melissawm Peter Sobolewski - @psobolewskiPhD Tim Monko (docs) - @TimMonko

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.499
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0030.003
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0240.008

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.034
GPT teacher head0.269
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it