semvec/pypi-packages huggingface dataset:
ngff-zarr 0.29.0
A lean and kind Open Microscopy Environment (OME) Next Generation File Format (NGFF) Zarr implementation.
Requires Python: >=3.10

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<!-- SPDX-License-Identifier: MIT -->
# ngff-zarr

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---

A lean and kind
[Open Microscopy Environment (OME) Next Generation File Format (NGFF) Zarr](https://ngff.openmicroscopy.org)
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](https://ngff-zarr.readthedocs.io/).

## See also

- [ome-zarr-py](https://github.com/ome/ome-zarr-py)
- [multiscale-spatial-image](https://github.com/spatial-image/multiscale-spatial-image)
- [itk-ioomezarrngff](https://github.com/InsightSoftwareConsortium/ITKIOOMEZarrNGFF)
- [iohub](https://czbiohub-sf.github.io/iohub/)
- [pydantic-ome-ngff](https://janeliascicomp.github.io/pydantic-ome-ngff/)
- [aicsimageio](https://allencellmodeling.github.io/aicsimageio/)
- [bfio](https://bfio.readthedocs.io/)

## License

`ngff-zarr` is distributed under the terms of the
[MIT](https://spdx.org/licenses/MIT.html) license.

[Sharded Zarr]: https://zarr.dev/zeps/accepted/ZEP0002.html
[tensorstore]: https://google.github.io/tensorstore/