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About zarr-python
zarr-python
Stores and queries chunked N-D scientific arrays
zarr-python is an agent skill for storing and querying chunked N-dimensional scientific arrays with Zarr-Python 3. It covers codecs, sharding, partial reads, hierarchical stores, cloud object storage such as S3 and Google Cloud Storage, and interoperability with NumPy, Dask and Xarray. The skill is a community guide targeting Zarr-Python 3.4.0, released on 15 September 2026, and it needs Python 3.12 or newer. The package version and the on-disk format are separate. This release reads and writes formats 2 and 3, and new arrays default to format 3. Downstream packages that need zarr below 3 should be kept in their own environments. The install command pins zarr and NumPy, and an optional extra adds remote storage backends and the migration command-line tool, with matched fsspec, s3fs and gcsfs versions. Use it for large chunked arrays, such as imaging or simulation output, where you need to read parts of an array without loading all of it. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars. The listing shows it as free, and it has about 1,800 installs. Its security audits show passes from Gen Agent Trust Hub, Socket and Snyk.
- Price
- Free
- Made by
- k-dense-ai
- Category
- AI Skills
- Website
- github.com/k-dense-ai/scientific-agent-skills/zarr-python