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

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organization icon Zarr
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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.

Project details

Verified details

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Owner
organization icon Zarr
Maintainers
Avatar for aliman from gravatar.com aliman Avatar for jakirkham from gravatar.com jakirkham Avatar for rabernat from gravatar.com rabernat Avatar for zarr_dev from gravatar.com zarr_dev

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This version

3.0.0b1 pre-release

3.0.0b0 pre-release

3.0.0a7 pre-release

3.0.0a6 pre-release

3.0.0a5 pre-release

3.0.0a4 pre-release

3.0.0a3 pre-release

3.0.0a2 pre-release

3.0.0a1 pre-release

3.0.0a0 pre-release

2.18.3

2.18.2

2.18.1

2.18.0

2.17.2

2.17.1

2.17.0

2.16.1

2.16.0

2.15.0

2.15.0a2 pre-release

2.15.0a1 pre-release

2.14.2

2.14.1

2.14.0

2.13.6

2.13.3

2.13.2

2.13.1

2.13.0

2.13.0a2 pre-release

2.13.0a1 pre-release

2.12.0

2.12.0a2 pre-release

2.12.0a1 pre-release

2.11.3

2.11.2

2.11.1

2.11.0

2.11.0a2 pre-release

2.11.0a1 pre-release

2.10.3

2.10.2

2.10.1

2.10.0

2.9.5

2.9.4

2.9.3

2.9.2

2.9.1

2.9.0

2.8.3

2.8.2

2.8.1

2.8.0

2.7.1

2.7.0

2.6.1

2.5.0

2.4.0

2.3.2

2.3.1

2.3.0

2.2.0

2.2.0rc3 pre-release

2.2.0rc2 pre-release

2.2.0rc1 pre-release

2.1.4

2.1.3

2.1.2

2.1.1

2.1.0

2.0.1

2.0.0

2.0.0a2 pre-release

1.1.0

1.0.0

1.0.0b6 pre-release

1.0.0b4 pre-release

1.0.0b3 pre-release

1.0.0b2 pre-release

1.0.0b2.dev1 pre-release

0.4.0

0.3.0

0.2.7

0.2.6

0.2.5

0.2.3

0.2.2

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