{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/11"}],"enrichment":{"capability":"Reads and writes multi-resolution images stored in Zarr filesets according to the OME NGFF specification, enabling efficient access to large imaging datasets.","skillfed_tags":["scientific-imaging","zarr-format","microscopy"],"use_cases":["Load and analyze multi-resolution microscopy images stored in OME-NGFF Zarr format for research.","Convert imaging datasets into standardized Zarr filesets for interoperability across tools.","Access large imaging datasets efficiently using dask-backed lazy loading and distributed computation.","Build imaging pipelines that consume or produce OME-NGFF-compliant Zarr data.","Integrate microscopy image data into scientific computing workflows with numpy and scikit-image."],"what_it_does":"ome-zarr-py is a Python library for working with multi-resolution images stored in Zarr filesets that conform to the OME NGFF (Open Microscopy Environment Next Generation File Format) specification. It provides tools to read, write, and manipulate imaging data in this standardized format, which is designed for efficient storage and access of large, hierarchical image datasets common in scientific imaging workflows.\n\nThe package sits on top of established data-handling libraries\u2014numpy for arrays, dask for distributed computation, zarr for the underlying storage format, and fsspec for flexible file system access. It's intended for developers and researchers working with microscopy or other large-scale imaging data who need to work with standardized, interoperable image formats. The library is in beta status and actively maintained, with support for current Python versions.","worth_installing":"Yes. The package is actively maintained, has low install friction, carries a permissive license, and fills a clear role in the scientific imaging ecosystem. No known vulnerabilities. Suitable for anyone working with OME NGFF Zarr images or building tools that need to read or write them. The beta status is typical for specialized scientific libraries and should not deter adoption."},"id":"ome-zarr","links":{"html":"https://skillfed.io/packages/ome-zarr","md":"https://skillfed.io/packages/ome-zarr.md","pypi":"https://pypi.org/project/ome-zarr/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-17","license_spdx":"BSD-2-Clause","license_treatment":"permissive","name":"ome-zarr","python_support":"supports_current","summary":"Implementation of images in Zarr files."},"popularity":{"monthly_downloads":581816,"position":5907,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.18.0"}