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.
Introduction to napari 🖱️¶
Level: Beginner | Duration: ~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, everything is done through the graphical interface!
Extending napari with code ⌨️¶
Level: Intermediate (napari Beginner) | Duration: ~4 hours
Write Python scripts that control napari programmatically, create interactive widgets with magicgui, connect functions to layer events, implement mouse callbacks, and define custom colormaps. Requires basic Python familiarity.
napari express 🚀¶
Level: Intermediate | Duration: 90 minutes
A quickstart tour through napari’s capabilities for interactive image analysis. Build a complete cell segmentation workflow using magicgui widgets, annotated sliders, quantitative features, and mouse callbacks — all from Python.
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.