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napari 0.10.0

Multi-dimensional image viewer for Python

filecart Mac Updated Oct 31, 2026
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About napari

Multi-dimensional image viewer for Python
Release info Update on Oct 30, 2026
Release notes napari 0.10.0

*Fri, Oct 30, 2026*

We're happy to announce the release of napari 0.10.0!
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://napari.org.

napari follows EffVer (Intended Effort Versioning); this is a Macro release containing awesome new features, but may require dedication of some significant time when upgrading projects to use this version.

Highlights

This release contains several new features and many enhancements and bugfixes. We also welcomed a ton of new contributors to the community!

Coordinate Grid with axes and ticks
This features has been requested for years, and we finally managed to get a version that we're happy with! With #7827, you can now use viewer.scene.overlays.coordinate_grid to display a grid on your data, including unit-aware tick marks and axis labels! Try it out:

py
import napari

viewer = napari.Viewer(ndisplay=3)
layers = viewer.open_sample('napari', 'cells3d')

for layer in layers:
layer.units = 'nm'
layer.axis_labels = ['z', 'y', 'x']

viewer.scene.overlays.coordinate_grid.visible = True

Colorful names

Another long-requested feature: displaying layer names on the canvas now has colormap-aware colors (#9598)! This comes with some fancy machinery to ensure that colors are shifted enough to be always readable.

py
import napari

viewer = napari.Viewer()
layers = viewer.open_sample('napari', 'lily')

for layer in layers:
layer.name_overlay.visible = True

viewer.canvas.grid.enabled = True
viewer.canvas.grid.stride = 2

Cursor crosshair

Ever use the grid mode for your multichannel data but then struggle to know where you're clicking? Struggle no more! You can now enable the new crosshair overlay…
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