zarr

An implementation of chunked, compressed, N-dimensional arrays for Python.

Read and write TIFF files. Forked from https://pypi.org/project/tifffile

Library for multiscale visualization of high-resolution multiplexed bioimaging data on the web. Directly renders Zarr and OME-TIFF.

Javascript implementation of Zarr

Recipes for reproducing Analysis-Ready & Cloud Optimized (ARCO) ERA5 datasets.

Python library for building Pangeo Forge recipes.

Lightweight C++ and Python interface for datasets in zarr and N5 format

Distributed Xarray with Apache Beam

Implementation of next-generation file format (NGFF) specifications for storing bioimaging data in the cloud.

A minimal, purely client-side program for viewing Zarr-based images with Viv & ImJoy.

Extract Satellite Imagery from public constellations at scale

Enabling interoperability and scalability in ocean sonar data analysis

Zarr core protocol for storage and retrieval of N-dimensional typed arrays

Bounded-memory serverless distributed N-dimensional array processing

Examples of analysis of CESM LENS data publicly available on Amazon S3 (us-west-2 region) using xarray and dask

The GeoZarr specification has been transferred to the Zarr-developers repository. This spec aims to provides a geospatial extension to the Zarr specification.

Implementation of the Zarr core protocol (version 2 and 3) based on xtensor.

Mapping and monitoring deep subglacial water activity in Antarctica using remote sensing and machine learning, with ICESat-2!

climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge

Illustrations created by Henning Falk for the Zarr community