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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.

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 on the Events page.

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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.

WorkshopWhat you’ll learnLevelCode experience
Introduction to napari: with the AppLoad, explore, and annotate multi-dimensional images; find and use community plugins — all in the napari bundled appBeginnerNone
Introduction to napari: with PythonControl napari from Python: correct scales and units, and your own interactive widgets with magicguiBeginner–intermediateSome scripting (Python knowledge needed for the half-day schedule)
napari expressA fast tour for Pythonistas: build segmentation and classification workflows without leaving napariIntermediatePython

About this site

This site is the home for workshops about napari:

Running a workshop

Want to attend, host, or sponsor a workshop taught by the napari team? Announcements and registration links appear on the Events page; for anything else, send us an e-mail at info@napari.org or reach out on our Zulip.

Want to run your own workshop about napari? You are welcome to teach with the catalogue materials as they are, adapt them, or build your own. Either way, the organizer guide and the instructor guide are a good place to start. Let us know about your workshop and we will list it on the Events page, and afterwards on Past workshops.

Resources

Contributing

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