https://github.com/thewtex/ngff-zarr
A lean and kind Open Microscopy Environment (OME) Next Generation File Format (NGFF) Zarr implementation.
https://github.com/thewtex/ngff-zarr
dask imaging medical microscopy ome-zarr ome-zarr-converter python
Last synced: about 1 year ago
JSON representation
A lean and kind Open Microscopy Environment (OME) Next Generation File Format (NGFF) Zarr implementation.
- Host: GitHub
- URL: https://github.com/thewtex/ngff-zarr
- Owner: thewtex
- License: mit
- Created: 2022-09-27T00:37:16.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2025-02-20T21:38:39.000Z (over 1 year ago)
- Last Synced: 2025-03-31T04:05:12.507Z (about 1 year ago)
- Topics: dask, imaging, medical, microscopy, ome-zarr, ome-zarr-converter, python
- Language: Python
- Homepage: https://ngff-zarr.readthedocs.io
- Size: 702 KB
- Stars: 32
- Watchers: 4
- Forks: 7
- Open Issues: 18
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
Awesome Lists containing this project
README
# ngff-zarr
[](https://pypi.org/project/ngff-zarr)
[](https://pypi.org/project/ngff-zarr)
[](https://github.com/thewtex/ngff-zarr/actions/workflows/pixi-test.yml)
[](https://zenodo.org/badge/latestdoi/541840158)
[](https://ngff-zarr.readthedocs.io/en/latest/?badge=latest)
---
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>=3.9
- 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
- Optional writing via [tensorstore](https://google.github.io/tensorstore/)
## Documentation
More information an 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.