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<div align="center"> <img src="https://raw.githubusercontent.com/zarr-developers/community/main/logos/logo2.png"><br> </div>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>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.