A lean and kind Open Microscopy Environment (OME) Next Generation File Format (NGFF) Zarr implementation.
Project description
ngff-zarr
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.
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