https://github.com/psobolewskiphd/jax_nebioimaging_napari_community_slides

Slides for a presentation about contributing to the napari community
https://github.com/psobolewskiphd/jax_nebioimaging_napari_community_slides

bioimaging napari

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Slides for a presentation about contributing to the napari community

• Host: GitHub
• URL: https://github.com/psobolewskiphd/jax_nebioimaging_napari_community_slides
• Owner: psobolewskiPhD
• Created: 2023-09-26T19:08:54.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2023-10-20T12:07:52.000Z (almost 2 years ago)
• Last Synced: 2025-06-14T05:03:18.196Z (4 months ago)
• Topics: bioimaging, napari
• Language: HTML
• Homepage: https://psobolewskiphd.github.io/JAX_NEBioimaging_napari_community_slides/
• Size: 10.8 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
### This repository has slides for my presentation at Northeast Bioimaging Analysis Meeting, Oct 20 2023, hosted by JAX in Farmington, CT.

## Contributing to the napari community: widgets, plugins, napari core, documentation—oh my!

Peter Sobolewski & napari project contributors

napari is a Python library for multi-dimensional image visualisation, annotation, and analysis. 

napari leverages the scientific Python stack and supports bidirectional communication between 

the viewer and the Python kernel. Importantly, it’s an open, community developed project, 

which means that anyone can contribute. There are number of options for contributing to the 

napari community depending on your bandwidth and desired level of engagement—all are very welcome! 

You can join the image.sc forums, our Zulip chat (napari.zulipchat.com), or one of the community 

meetings to engage with the community. You can share Python scripts that use the napari API 

along with other Python modules—these can even add on to the napari GUI thanks to the use of 

widgets. Going beyond that, you can develop a napari plugin, which is Python package published 

on PyPI, that extends napari functionality in a publicly discoverable fashion. Alternately, 

you can contribute to the napari project itself, by tackling open issues to fix bugs or by 

implementing a new feature. Importantly, you can make non-code contributions to the documentation—which 

are extremely valuable—by reviewing, editing, updating, or writing new guides or tutorials. 

All of these contributions combine to make for a supportive, dynamic, and sustainable napari community.

 

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The slide content is provided under a [CC-BY license](https://creativecommons.org/licenses/by/4.0/). 

You may reuse and share the contents for any purpose, in any way, just please make sure to provide

attribution to this source material.

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Slides were generated using [`quarto`](https://quarto.org) and VS Code extension.