Zarr

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:

• zarr-metadata: Tools for Zarr metadata. Install with pip install zarr-metadata.
• zarr-indexing: Tools for lazily indexing chunked arrays. Install with pip install zarr-indexing.
• zarr-http-server: An HTTP server implementation targeting Zarr data. Install with pip install zarr-http-server.