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Zarr is a Python package providing an implementation of compressed, chunked, N-dimensional arrays, designed for use in parallel computing. See the documentation for more information.

• Create N-dimensional arrays with any NumPy dtype.
• Chunk arrays along any dimension.
• Compress and/or filter chunks using any NumCodecs codec.
• Store arrays in memory, on disk, inside a zip file, on S3, etc...
• Read an array concurrently from multiple threads or processes.
• Write to an array concurrently from multiple threads or processes.
• Organize arrays into hierarchies via groups.

Zarr can be installed from PyPI using pip:

pip install zarr

or via conda:

conda install -c conda-forge zarr

For more details, including how to install from source, see the installation documentation.