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.
All materials here are self-guided and modular: each workshop is offered in more than one session length, so you can pick the format that fits your time. Live, instructor-led sessions are listed in the workshop schedule.
Workshop catalogue¶
Each workshop is a family of modules taught at different session lengths. Pick a workshop, then pick the length that fits your time.
| Workshop | What you’ll learn | Level | Code experience |
|---|---|---|---|
| Introduction to napari: with the App | Load, explore, and annotate multi-dimensional images; find and use community plugins — all in the napari bundled app | Beginner | None |
| Introduction to napari: with Python | Control napari from Python: correct scales and units, and your own interactive widgets with magicgui | Beginner–intermediate | Some scripting (Python knowledge needed for the half-day schedule) |
| napari express | A fast tour for Pythonistas: build segmentation and classification workflows without leaving napari | Intermediate | Python |
Running a workshop¶
Want to attend, host, or sponsor a workshop? Announcements and registration links appear in the workshop schedule; for anything else, send us an e-mail at info@napari.org or reach out on our Zulip.
If you are teaching or organizing a session, start with the organizer guide and the instructor guide.
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.