Metadata-Version: 2.1
Name: zarr
Version: 0.0.0
Summary: An implementation of chunked, compressed, N-dimensional arrays for Python.
Home-page: https://github.com/zarr-developers/zarr-python
Maintainer: Alistair Miles
Maintainer-email: alimanfoo@googlemail.com
License: MIT
Description: <div align="center">
          <img src="https://raw.githubusercontent.com/zarr-developers/community/master/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/master/LICENSE">
            <img src="https://img.shields.io/pypi/l/zarr.svg" alt="license" />
            </a>
        </td>
        </tr>
        <tr>
          <td>Build Status</td>
          <td>
            <a href="https://travis-ci.org/zarr-developers/zarr-python">
            <img src="https://travis-ci.org/zarr-developers/zarr-python.svg?branch=master" alt="travis build status" />
            </a>
          </td>
        </tr>
        <tr>
          <td>Coverage</td>
          <td>
            <a href="https://coveralls.io/github/zarr-developers/zarr-python?branch=master">
            <img src="https://coveralls.io/repos/github/zarr-developers/zarr-python/badge.svg?branch=master" 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>Gitter</td>
        	<td>
        		<a href="https://gitter.im/zarr-developers/community">
        		<img src="https://badges.gitter.im/zarr-developers/community.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/#installation).
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
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 :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6, <4
Description-Content-Type: text/markdown
Provides-Extra: jupyter
