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.

Storage guide Zarr-Python supports multiple storage backends, including: local file systems, Zip files, remote stores via fsspec (S3, HTTP, etc.), and in-memory stores. In Zarr-Python 3, …

API Variants Zarr-Python provides both synchronous and asynchronous APIs: Async API - Asynchronous operations for concurrent access Sync API - Synchronous operations for simple …

Quick start This section will help you get up and running with the Zarr library in Python to efficiently manage and analyze multi-dimensional arrays. Creating an Array To get started, you …

Installation Required dependencies Required dependencies include: Python (3.11 or later) packaging (22.0 or later) numpy (1.26 or later) numcodecs (0.14 or later) google-crc32c (1.5 or …

Compressors A number of different compressors can be used with Zarr. Zarr includes Blosc, Zstandard and Gzip compressors. Additional compressors are available through a separate …

When using Zarr with Dask, it's important to consider the interaction between Dask's thread pool and Zarr's concurrency settings. Important: When using many Dask threads, you may need to …

Welcome to the user guide, where you can learn more about using Zarr-Python! Getting Started New to Zarr-Python? Start here: Installation - Install Zarr-Python Quick-start - Quick overview …

Does the store support partial writes? Partial writes are no longer used by Zarr, so this is always false.

To accommodate this, Zarr-Python 3 introduces a number of changes to the API, including a number of significant breaking changes and deprecations. This page provides a guide …