Zarr

What is it?

The zarr library is a Python implementation of the Zarr storage format. zarr delivers compressed, chunked, N-dimensional arrays that work well for parallel computing and object storage. See the documentation for more information.

Main Features

• Create N-dimensional arrays with NumPy-compatible dtypes.
• Chunk arrays along any dimension.
• Encode chunks using a variety of useful encodings (e.g., compression).
• 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.

Where to get it

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.

Repository sub-packages

In addition to the primary zarr implementation, this repository contains other packages that provide specialized functionality with minimal dependencies:

Package	Description	Install	Links
zarr-metadata	Tools for Zarr metadata	pip install zarr-metadata	Docs · Source
zarr-indexing	Tools for lazily indexing chunked arrays	pip install zarr-indexing	Docs · Source
zarr-http-server	An HTTP server implementation targeting Zarr data	pip install zarr-http-server	Docs · Source

See Sub-projects in the zarr documentation for an overview.