A lean and kind Open Microscopy Environment (OME) Next Generation File Format (NGFF) Zarr implementation.
Project Links
Meta
Author: Matt McCormick
Requires Python: >=3.10
Classifiers
Development Status
- 4 - Beta
Intended Audience
- Developers
- Science/Research
License
- OSI Approved :: MIT License
Operating System
- OS Independent
Programming Language
- Python
- Python :: 3
- Python :: 3 :: Only
- Python :: 3.10
- Python :: 3.11
- Python :: 3.12
- Python :: 3.13
- Python :: 3.14
- Python :: Implementation :: CPython
Topic
- Scientific/Engineering
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.
0.33.0
Mar 20, 2026
0.32.2
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0.6.0
Dec 03, 2023
0.5.0
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0.4.6
Aug 01, 2023
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Jul 17, 2023
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0.1.6
Nov 24, 2022
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0.1.3
Oct 20, 2022
0.1.2
Oct 05, 2022
0.1.1
Oct 04, 2022
0.1.0
Oct 04, 2022
0.0.1
Sep 27, 2022
