Skip to content

zarr-developers/zarr-python

This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.

Folders and files

NameName
Last commit message
Last commit date

Latest commit

a492bf0 · Feb 12, 2024
Feb 7, 2024
Jul 13, 2023
Nov 9, 2022
Feb 6, 2024
Feb 9, 2023
Jan 12, 2023
Feb 8, 2024
Feb 7, 2024
Jul 18, 2022
Nov 10, 2022
Jul 27, 2023
Feb 6, 2024
Feb 6, 2024
Feb 7, 2024
Feb 14, 2019
Feb 6, 2024
Aug 11, 2023
Feb 7, 2024
Sep 9, 2021
Sep 20, 2023
Feb 7, 2024
Nov 3, 2022
Feb 7, 2024

Repository files navigation


Zarr

Latest Release latest release
latest release
Package Status status
License license
Build Status build status
Pre-commit Status pre-commit status
Coverage coverage
Downloads pypi downloads
Gitter
Citation DOI

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.