https://github.com/darsnack/zarr-python

An implementation of chunked, compressed, N-dimensional arrays for Python.

Science Score: 23.0%

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Repository

An implementation of chunked, compressed, N-dimensional arrays for Python.

Basic Info

Host: GitHub
Owner: darsnack
License: mit
Language: Python
Default Branch: v3
Homepage: http://zarr.readthedocs.io/
Size: 14.4 MB

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Fork of zarr-developers/zarr-python

Created almost 2 years ago · Last pushed almost 2 years ago

https://github.com/darsnack/zarr-python/blob/v3/


  



# 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) 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).