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Author: Alistair Miles

Maintainer: jakirkham, Norman Rzepka, Ryan Abernathey, David Stansby, Deepak Cherian

Requires Python: >=3.11

Classifiers

Development Status

6 - Mature

Intended Audience

Developers
Information Technology
Science/Research

License

OSI Approved :: MIT License

Operating System

Unix

Programming Language

Python
Python :: 3
Python :: 3.11
Python :: 3.12
Python :: 3.13

Topic

Software Development :: Libraries :: Python Modules

Zarr

Latest Release

Package Status
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Build Status
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Funding
Citation

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.

3.0.0rc2 Jan 07, 2025

3.0.0rc1 Jan 03, 2025

2.15.0a2 May 25, 2023

2.15.0a1 May 02, 2023

2.13.0a2 Sep 08, 2022

2.13.0a1 Aug 06, 2022

2.12.0 Jun 23, 2022

2.12.0a2 May 23, 2022

2.12.0a1 May 10, 2022

2.11.0a2 Nov 04, 2021

2.11.0a1 Oct 20, 2021

2.2.0rc3 Jan 31, 2018

2.2.0rc2 Jan 30, 2018

2.2.0rc1 Jan 29, 2018

Wheel compatibility matrix

Platform	Python 3
any

Files in release

zarr-3.0.8-py3-none-any.whl (200.6KiB)

zarr-3.0.8.tar.gz (250.8KiB)

Extras:

Dependencies:

donfig (>=0.8)

numcodecs[crc32c] (>=0.14)

numpy (>=1.25)

packaging (>=22.0)

typing-extensions (>=4.9)

zarr 3.0.8