Metadata-Version: 2.4
Name: zarr
Version: 3.3.0
Summary: An implementation of chunked, compressed, N-dimensional arrays for Python
Project-URL: issues, https://github.com/zarr-developers/zarr-python/issues
Project-URL: changelog, https://zarr.readthedocs.io/en/stable/release-notes.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
Author-email: Alistair Miles <alimanfoo@googlemail.com>
Maintainer: jakirkham, Norman Rzepka, Ryan Abernathey, David Stansby, Deepak Cherian
Maintainer-email: Davis Bennett <davis.v.bennett@gmail.com>, Josh Moore <josh@openmicroscopy.org>, Joe Hamman <joe@earthmover.io>, Juan Nunez-Iglesias <juan.nunez-iglesias@monash.edu>, Martin Durant <mdurant@anaconda.com>, Tom Augspurger <tom.w.augspurger@gmail.com>
License-Expression: MIT
License-File: LICENSE.txt
Keywords: Python,compressed,ndimensional-arrays,zarr
Classifier: Development Status :: 6 - Mature
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.12
Requires-Dist: donfig>=0.8
Requires-Dist: google-crc32c>=1.5
Requires-Dist: numcodecs>=0.14
Requires-Dist: numpy>=2
Requires-Dist: packaging>=22.0
Requires-Dist: typing-extensions>=4.14
Provides-Extra: cast-value-rs
Requires-Dist: cast-value-rs; extra == 'cast-value-rs'
Provides-Extra: cli
Requires-Dist: typer; extra == 'cli'
Provides-Extra: gpu
Requires-Dist: cupy-cuda12x; (sys_platform != 'darwin') and extra == 'gpu'
Provides-Extra: optional
Requires-Dist: universal-pathlib; extra == 'optional'
Provides-Extra: remote
Requires-Dist: fsspec>=2023.10.0; extra == 'remote'
Requires-Dist: obstore>=0.5.1; extra == 'remote'
Description-Content-Type: text/markdown

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# Zarr

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## 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/en/stable/) for more information.

## Main Features

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