napari workshops

napari is a powerful open-source, multi-dimensional image viewer built for scientific data analysis in Python. Whether you’re a biologist exploring microscopy data, an imaging specialist working with large datasets, or a data scientist curious about what napari can do — these workshops are designed to meet you where you are.

No prior napari experience required. Some workshops require Python familiarity; the introductory workshop uses napari’s graphical interface and is accessible to all.

Live workshops are available — see the workshop events for upcoming sessions and past events.

from pathlib import Path
import napari
from napari.utils import nbscreenshot

viewer = napari.Viewer()
viewer.open(Path() / '_resources' / 'kiribati.jpg')

nbscreenshot(viewer)

viewer.close()

Introduction to napari¶

Level: Beginner | Duration: 3–4 hours

Get started with napari’s bundled application. Load and explore multi-dimensional images, annotate data, run interactive analysis, and discover community plugins. No Python experience required.

Resources¶

• napari documentation: napari.org

• napari hub (plugin directory): napari-hub.org

• Community forum: forum.image.sc/tag/napari

• Zulip chat: napari.zulipchat.com

Contributing¶

Found an issue or have suggestions? Contributions are welcome! See CONTRIBUTING.md or open an issue on GitHub.