{"repo":"zarr-developers/zarr-python","free":true,"listed":false,"github":"https://github.com/zarr-developers/zarr-python","clone":"git clone https://github.com/zarr-developers/zarr-python.git","description":"An implementation of chunked, compressed, N-dimensional arrays for Python.","language":"Python","stars":2039,"topics":["zarr","ndimensional-arrays","compressed","python"],"license":"MIT","category":"databases-storage","readme_excerpt":"Zarr What is it? The zarr library is a Python implementation of the Zarr storage format. zarr delivers compressed, chunked, N-dimensional arrays that work well for parallel computing and object storage. See the documentation for more information. Main Features - Create N-dimensional arrays with NumPy-compatible dtype s. - Chunk arrays along any dimension. - Encode chunks using a variety of useful encodings (e.g., compression). - Store arrays in memory, on disk, inside a zip file, on S3, etc... - Read an array concurrently from multiple threads or processes. - Write to an array concurrently from multiple threads or processes. - Organize arrays into hierarchies via groups . Where to get it Zarr can be installed from PyPI using pip : or via conda : For more details, including how to install from source, see the installation documentation. Repository sub-packages In addition to the primary zarr implementation, this repository contains other packages that provide specialized functionality with minimal dependencies: - zarr-metadata : Tools for Zarr metadata. Install with pip install zarr-metadata . - zarr-indexing : Tools for lazily indexing chunked arrays. Install with pip install zarr-indexing . - zarr-http-server : An HTTP server implementation targeting Zarr data. Install with pip install zarr-http-server .","default_branch":null,"files":null,"tree":[],"storefront":"/r/zarr-developers","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/zarr-developers/zarr-python/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}