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Zarr

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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:

  • 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.

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