ngff-zarr

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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

• ome-zarr-py
• multiscale-spatial-image
• itk-ioomezarrngff
• iohub
• pydantic-ome-ngff
• aicsimageio
• bfio

License

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