Skip to main content

An implementation of chunked, compressed, N-dimensional arrays for Python.

Project description


Latest Release latest release
latest release
Package Status status
License license
Build Status travis build status
Coverage coverage
Downloads pypi downloads
Citation DOI

What is it?

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.

Main Features

  • 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.

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.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for zarr, version 2.7.0
Filename, size File type Python version Upload date Hashes
Filename, size zarr-2.7.0-py3-none-any.whl (137.8 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size zarr-2.7.0.tar.gz (3.5 MB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page