Juan Nunez-Iglesias

napari is an n-dimensional image viewer for Python. If you’ve ever tried plt.imshow(arr) and made Matplotlib unhappy because arr has more than two dimensions, then napari might be for you! napari will gladly display higher-dimensional arrays by providing sliders to explore additional dimensions....

Each new SciPy brings even more tools for data visualization and for building data-rich scientific applications and dashboards. This BoF brings together maintainers of Python tools for data visualization and building apps to help make sense of this complex landscape for users and to highlight new developments, trends, and opportunities.

Imaging communities across different fields (microscopy, remote sensing, medical imaging, materials science) are currently all moving to develop cloud- and chunking friendly imaging formats based around Zarr. This includes OME-NGFF and GeoZarr.

Between telescopes and satellite cameras and MRI machines and microscopes, scientists are producing more images than they can realistically look at. They need specialized viewers for multi-dimensional images, and automated tools to help process those images into knowledge.

napari is an n-dimensional image viewer for Python. If you’ve ever tried `plt.imshow(arr)` and made Matplotlib unhappy because `arr` has more than two dimensions, then napari might be for you!