ngff-zarr

PyPI - Version PyPI - Python Version Test DOI Documentation Status

A lean and kind Open Microscopy Environment (OME) Next Generation File Format (NGFF) Zarr implementation.

✨ Features

  • Minimal dependencies
  • Work with arbitrary Zarr store types
  • Lazy, parallel, and web ready -- no local filesystem required
  • Process extremely large datasets
  • Conversion of most bioimaging file formats
  • Multiple downscaling methods
  • Supports Python>=3.10
  • Reads OME-Zarr v0.1 to v0.5 into simple Python data classes with Dask arrays
  • Optional OME-Zarr data model validation during reading
  • Writes OME-Zarr v0.4 to v0.5
  • Sharded Zarr stores
  • Optional writing via tensorstore

Documentation

More information on command line usage, the Python API, library features, and how to contribute can be found in our documentation.

See also

License

ngff-zarr is distributed under the terms of the MIT license.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.45.0)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for thewtex from gravatar.com thewtex

Credits

Author: Matt McCormick

License expression

MIT
View SPDX License List

Requires

Python >=3.10

Provides Extra

all cli dask-image docs itk remote tensorstore test validate

Classifiers

Report project as malware

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0.45.0

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