Skip to main content

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

Project description


Zarr

Latest Release latest release
latest release
Package Status status
License license
Build Status build status
Pre-commit Status pre-commit status
Coverage coverage
Downloads pypi downloads
Gitter
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


Release history Release notifications | RSS feed

Download files

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

Source Distribution

zarr-3.0.0a0.tar.gz (3.5 MB view hashes)

Uploaded Source

Built Distribution

zarr-3.0.0a0-py3-none-any.whl (178.1 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page