Multidimensional Data with Zarr

Github repositories

• zarr-developers/zarr-python

  Zarr is a Python package designed for parallel computing, offering compressed, chunked, and N-dimensional arrays. It allows you to create arrays with any NumPy dtype, chunk them along any dimension, and apply compression and filtering using NumCodecs codec. Zarr supports various storage options such as memory, disk, zip files, and S3. It enables concurrent reading and writing from multiple threads or processes and provides hierarchy organization through groups. You can install Zarr from PyPI using pip or from conda via the conda-forge channel. Installation details can be found in the documentation.