An implementation of chunked, compressed, N-dimensional arrays for Python.
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Updated
Jun 4, 2024 - Python
An implementation of chunked, compressed, N-dimensional arrays for Python.
UArizona DataLab Workshops
Various implementations of Dandi Zarr checksumming
Library for multiscale visualization of high-resolution multiplexed bioimaging data on the web. Directly renders Zarr and OME-TIFF.
Cloud native, scalable storage engine for various types of energy data.
Recipes for reproducing Analysis-Ready & Cloud Optimized (ARCO) ERA5 datasets.
A JavaScript toolkit for working with chunked, compressed, n-dimensional arrays
ImageJ convenience layer for N5
Vitessce is a visual integration tool for exploration of spatial single-cell experiments.
Zarr Homepage
Python library for building Pangeo Forge recipes.
Read and write TIFF files
Bounded-memory serverless distributed N-dimensional array processing
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