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Xarray-Beam is a Python library for building Apache Beam pipelines with Xarray datasets.
The main features of google/xarray-beam are: Distributed Computing, Numerical Data Structures.
Projects with overlapping indexed features include: dask/dask-image — dask-image. gjoseph92/stackstac — Turn a list of STAC items into a 4D xarray DataArray (dims: time, band, y, x), including reprojection to a common… jsignell/dask-geopandas — dask-geopandas |conda| |pypi| |docs| |gitter|. makepath/xarray-spatial — Spatial analysis algorithms for xarray implemented in numba. planetlabs/numpytiles-spec — NumpyTiles is an open standard for communicating map raster data.
Turn a list of STAC items into a 4D xarray DataArray (dims: time, band, y, x), including reprojection to a common grid. The array is a lazy Dask array, so loading and processing the data in parallel—locally or on a cluster—is just a compute() call away.
Spatial analysis algorithms for xarray implemented in numba
