An implementation of chunked, compressed, N-dimensional arrays for Python
Project description
Zarr
Latest Release | |
Package Status | |
License | |
Build Status | |
Pre-commit Status | |
Coverage | |
Downloads | |
Zulip | |
Citation |
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
zarr-3.0.0b1.tar.gz
(1.1 MB
view hashes)
Built Distribution
zarr-3.0.0b1-py3-none-any.whl
(139.3 kB
view hashes)