Zarr-Python¶
Useful links: Source Repository | Issue Tracker | Developer Chat | Zarr specifications
Zarr is a powerful library for storage of n-dimensional arrays, supporting chunking, compression, and various backends, making it a versatile choice for scientific and large-scale data.
Zarr-Python is a Python library for reading and writing Zarr groups and arrays. Highlights include:
- Specification support for both Zarr format 2 and 3.
- Create and read from N-dimensional arrays using NumPy-like semantics.
- Flexible storage enables reading and writing from local, cloud and in-memory stores.
- High performance: Enables fast I/O with support for asynchronous I/O and multi-threading.
- Extensible: Customizable with user-defined codecs and stores.
Installation¶
Zarr requires Python 3.11 or higher. You can install it via pip:
or conda:
Navigating the documentation¶
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New to Zarr? Check out the quick start guide. It contains a brief introduction to Zarr's main concepts and links to additional tutorials.
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A detailed guide for how to use Zarr-Python.
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The reference guide contains a detailed description of the functions, modules, and objects included in Zarr. The reference describes how the methods work and which parameters can be used. It assumes that you have an understanding of the key concepts.
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Want to contribute to Zarr? We welcome contributions in the form of bug reports, bug fixes, documentation, enhancement proposals and more. The contributing guidelines will guide you through the process of improving Zarr.
Project Status¶
More information about the Zarr format can be found on the main website.
If you are using Zarr-Python, we would love to hear about it.
Funding and Support¶
The project is fiscally sponsored by NumFOCUS, a US 501©(3) public charity, and development has been supported by the MRC Centre for Genomics and Global Health and the Chan Zuckerberg Initiative.
Donate to Zarr to support the project!