An implementation of chunked, compressed, N-dimensional arrays for Python
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Author: Alistair Miles
Maintainer: jakirkham, Norman Rzepka, Ryan Abernathey, David Stansby, Deepak Cherian
Requires Python: >=3.11
Classifiers
Development Status
- 6 - Mature
Intended Audience
- Developers
- Information Technology
- Science/Research
Operating System
- Unix
Programming Language
- Python
- Python :: 3
- Python :: 3.11
- Python :: 3.12
- Python :: 3.13
Topic
- Software Development :: Libraries :: Python Modules
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 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.
3.1.3
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2.11.3
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Nov 04, 2021
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2.10.3
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2.7.1
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2.3.2
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Jan 29, 2018
2.1.4
Jan 26, 2017
2.1.3
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Sep 12, 2016
2.1.0
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2.0.1
Sep 03, 2016
2.0.0
Sep 02, 2016
2.0.0a2
Aug 31, 2016
1.1.0
Jul 22, 2016
1.0.0
May 17, 2016
1.0.0b6
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1.0.0b4
May 08, 2016
1.0.0b3
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0.4.0
Apr 14, 2016
0.3.0
Dec 21, 2015
0.2.7
Dec 18, 2015
0.2.6
Dec 18, 2015
0.2.5
Dec 18, 2015
0.2.3
Dec 18, 2015
0.2.2
Dec 18, 2015
Wheel compatibility matrix
Files in release
Extras:
Dependencies:
donfig
(>=0.8)
numcodecs[crc32c]
(>=0.14)
numpy
(>=1.26)
packaging
(>=22.0)
typing-extensions
(>=4.9)