Used in production by leaders across science and industry.
Peta-scale, from Earth observation to bio-imaging. Zarr is how teams move large arrays through cloud storage and analysis pipelines.
Earth science
CarbonPlan
Storage format for analysis and visualization of climate data.
Earthmover
Cloud-native data platform for scientific arrays. Builds Arraylake, Icechunk (versioned Zarr store) and the Earthmover Marketplace of analysis-ready datasets.
ESA
Copernicus Sentinel data and future Expansion missions via the EOPF (Earth observation processing Framework).
LEAP
Data format for the LEAP-Pangeo data library used in climate-modeling analytics and machine learning.
NASA
Analysis-ready data store for chunked, N-dimensional arrays of geospatial data.
Pangeo
Cloud-native storage format for ocean, weather, climate, and geospatial data.
Unidata
Developing the netCDF libraries to support Zarr datasets across atmospheric and geoscientific communities.
LDEO
Lamont-Doherty Earth Observatory at Columbia.
NCAR
National Center for Atmospheric Research.
Bio-imaging
DANDI
Lightsheet microscopy and ex-vivo MRI datasets; backend candidate for Neurodata Without Borders.
HHMI Janelia
Storing and accessing large imaging datasets across the Janelia Research Campus.
OME
OME-Zarr stores large, n-dimensional biological images as part of the Next-generation file format (NGFF) effort.
scalable minds
Storing and processing peta-scale 3D images of brain tissue for connectomics analyses.
WEBKNOSSOS
Web-based platform for visualizing and collaboratively annotating large 3D images.
Other
Google Research
Open-source projects (Neuroglancer, TensorStore, Xarray-Beam, Xarray-TensorStore) and large-scale weather datasets such as ARCO-ERA5.
Microsoft Planetary Computer
Cloud-native storage format for chunked, N-dimensional arrays of geospatial data.
Columbia University
Research use across geosciences and computational climate.