Tim Monko
I am a full-time maintainer and community manager of napari, an interactive multi-dimensional Python image and data viewer, and its plugin ecosystem. I work to extend the plugin ecosystem and help scientists achieve their goals with image analysis.
Sessions
With everything from microscopes to telescopes to satellites, scientists produce image data in countless formats, shapes, sizes, and dimensions. Python provides a rich ecosystem of libraries to make sense of them. napari is a Python library for multidimensional image visualization, but it does double duty as a standalone application that can be easily extended with GUI tools for analysis, visualization, and annotation. In this tutorial, we'll start with the basics of image visualization and analysis in napari, then show how to extend the napari user interface to make analysis workflows as easy as pushing a button, and finally show how to share these extensions as plugins, which can be easily installed by users and collaborators. If you work with images (particularly multidimensional images), and especially if you work with scientists who may not be comfortable with Python, this tutorial might be for you!
Installation Instructions: https://napari.org/workshops/extend/setup/
Foundational Python libraries provide critical functionality that diverse communities of downstream developers and users depend on. Often, gaps in awareness between a core project and its broader community silently erode trust, collaboration, and sustainability. This talk shares lessons from a community-driven initiative to (re)-connect napari—a foundational library for multi-dimensional image viewing built on the scientific Python stack—with its ecosystem of over 580 community-developed plugins. Through a working group of core contributors, plugin developers, and end users, the napari plugin sustainability initiative discovered that creating new avenues for communication and collaboration leads to shared ownership of ecosystem progress.