An implementation of chunked, compressed, N-dimensional arrays for Python.
-
Updated
Aug 28, 2026 - Python
An implementation of chunked, compressed, N-dimensional arrays for Python.
Read and write TIFF files.
Recipes for reproducing Analysis-Ready & Cloud Optimized (ARCO) ERA5 datasets.
Scalable array processing with bounded memory
Type annotations for specifying, validating, and serializing arrays with arbitrary backends in Pydantic (and beyond)
Python library for building Pangeo Forge recipes.
The 🌏 data science library you've been waiting for~
Extract Satellite Imagery from public constellations at scale
Spatial omics in the browser for hundreds of images at once | 10x, IMC, IF, H&E, CosMX, & more | https://rakaia.io/
A napari plugin for zarr backed OME-NGFF images
Repository of scripts to facilitate participation in CellMap's segmentation challenge. This includes downloading data, simple setups for training 2D and 3D models, workflows for prediction and post-processing on out-of-memory arrays, and evaluation of results against validation data.
Download MeteoSwiss Open Government Data — weather stations, radar, hail, forecasts and climate series — via Python API, CLI, or MCP server, as DataFrames, Parquet, xarray Datasets or Zarr stores
Cloud native, scalable storage engine for various types of energy data.
Add a description, image, and links to the zarr topic page so that developers can more easily learn about it.
To associate your repository with the zarr topic, visit your repo's landing page and select "manage topics."