Metadata-Version: 2.1
Name: zarr
Version: 2.18.4
Summary: An implementation of chunked, compressed, N-dimensional arrays for Python
Maintainer-email: Alistair Miles <alimanfoo@googlemail.com>
License: MIT
Project-URL: Bug Tracker, https://github.com/zarr-developers/zarr-python/issues
Project-URL: Changelog, https://zarr.readthedocs.io/en/stable/release.html
Project-URL: Discussions, https://github.com/zarr-developers/zarr-python/discussions
Project-URL: Documentation, https://zarr.readthedocs.io/
Project-URL: Homepage, https://github.com/zarr-developers/zarr-python
Classifier: Development Status :: 6 - Mature
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: asciitree
Requires-Dist: numpy>=1.24
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Requires-Dist: numcodecs!=0.14.0,!=0.14.1,>=0.10.0
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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](https://zarr.readthedocs.io) for more information.

## Main Features

- [**Create**](https://zarr.readthedocs.io/en/stable/tutorial.html#creating-an-array) N-dimensional arrays with any NumPy `dtype`.
- [**Chunk arrays**](https://zarr.readthedocs.io/en/stable/tutorial.html#chunk-optimizations) along any dimension.
- [**Compress**](https://zarr.readthedocs.io/en/stable/tutorial.html#compressors) and/or filter chunks using any NumCodecs codec.
- [**Store arrays**](https://zarr.readthedocs.io/en/stable/tutorial.html#tutorial-storage) in memory, on disk, inside a zip file, on S3, etc...
- [**Read**](https://zarr.readthedocs.io/en/stable/tutorial.html#reading-and-writing-data) an array [**concurrently**](https://zarr.readthedocs.io/en/stable/tutorial.html#parallel-computing-and-synchronization) from multiple threads or processes.
- Write to an array concurrently from multiple threads or processes.
- Organize arrays into hierarchies via [**groups**](https://zarr.readthedocs.io/en/stable/tutorial.html#groups).

## Where to get it

Zarr can be installed from PyPI using `pip`:

```bash
pip install zarr
```

or via `conda`:

```bash
conda install -c conda-forge zarr
```

For more details, including how to install from source, see the [installation documentation](https://zarr.readthedocs.io/en/stable/index.html#installation).