Awesome

Zarr

<table> <tr> <td>Latest Release</td> <td> <a href="https://pypi.org/project/zarr/"> <img src="https://badge.fury.io/py/zarr.svg" alt="latest release" /> </a> </td> </tr> <td></td> <td> <a href="https://anaconda.org/anaconda/zarr/"> <img src="https://anaconda.org/conda-forge/zarr/badges/version.svg" alt="latest release" /> </a> </td> </tr> <tr> <td>Package Status</td> <td> <a href="https://pypi.org/project/zarr/"> <img src="https://img.shields.io/pypi/status/zarr.svg" alt="status" /> </a> </td> </tr> <tr> <td>License</td> <td> <a href="https://github.com/zarr-developers/zarr-python/blob/main/LICENSE.txt"> <img src="https://img.shields.io/pypi/l/zarr.svg" alt="license" /> </a> </td> </tr> <tr> <td>Build Status</td> <td> <a href="https://github.com/zarr-developers/zarr-python/blob/main/.github/workflows/python-package.yml"> <img src="https://github.com/zarr-developers/zarr-python/actions/workflows/python-package.yml/badge.svg" alt="build status" /> </a> </td> </tr> <tr> <td>Pre-commit Status</td> <td> <a href=""https://github.com/zarr-developers/zarr-python/blob/main/.pre-commit-config.yaml"> <img src="https://results.pre-commit.ci/badge/github/zarr-developers/zarr-python/main.svg" alt="pre-commit status" /> </a> </td> </tr> <tr> <td>Coverage</td> <td> <a href="https://codecov.io/gh/zarr-developers/zarr-python"> <img src="https://codecov.io/gh/zarr-developers/zarr-python/branch/main/graph/badge.svg"/ alt="coverage"> </a> </td> </tr> <tr> <td>Downloads</td> <td> <a href="https://zarr.readthedocs.io"> <img src="https://pepy.tech/badge/zarr" alt="pypi downloads" /> </a> </td> </tr> <tr> <td>Zulip</td> <td> <a href="https://ossci.zulipchat.com/"> <img src="https://img.shields.io/badge/zulip-join_chat-brightgreen.svg" /> </a> </td> </tr> <tr> <td>Funding</td> <td> <a href="https://chanzuckerberg.com/eoss/"> <img src="https://img.shields.io/badge/funded%20by-EOSS-FF414B.svg?logo=data:image/svg+xml;base64,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" alt="CZI's Essential Open Source Software for Science"> </a> </td> </tr> <td>Citation</td> <td> <a href="https://doi.org/10.5281/zenodo.3773450"> <img src="https://zenodo.org/badge/DOI/10.5281/zenodo.3773450.svg" alt="DOI"> </a> </td> </tr> </table>

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.