{"categories":[{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis/3"}],"enrichment":{"capability":"xarray-spatial provides 150+ functions for raster analysis\u2014surface operations, hydrology, fire behavior, flood modeling, multispectral indices, and pathfinding\u2014that dispatch automatically across NumPy, Dask, CuPy, and Dask+CuPy backends, with native GeoTIFF/COG I/O and no GDAL dependency.","skillfed_tags":["geospatial-raster","gpu-accelerated","dask-compatible"],"use_cases":["Read and write GeoTIFF or COG files directly without GDAL, optionally scaling to Dask or GPU backends.","Compute hydrological flow direction and accumulation using D8, D-infinity, or MFD algorithms on elevation models.","Generate multispectral vegetation indices from satellite imagery bands.","Model flood extent and fire behavior by applying focal and morphological operations across raster datasets.","Perform proximity analysis, pathfinding, and interpolation on gridded spatial data with automatic backend dispatch."],"what_it_does":"xarray-spatial is a Python library for raster analysis built on xarray that handles gridded geospatial data (GeoTIFFs, COGs, and other raster formats) without requiring GDAL or GEOS. It provides a large collection of spatial functions for tasks like elevation analysis, hydrological modeling, fire behavior simulation, and multispectral image processing. The library automatically selects the right computational backend\u2014NumPy for single-machine CPU work, Dask for distributed processing, CuPy for GPU acceleration, or combinations thereof\u2014based on your data and parameters, so you write the same code regardless of scale.\n\nThe package includes a native GeoTIFF and Cloud Optimized GeoTIFF reader and writer implemented in pure Python and Numba, eliminating the need for external C/C++ geospatial libraries. It is designed for GIS professionals and researchers who need fast, extensible raster operations. The project is currently in feature freeze leading toward a 1.0.0 release, accepting only bug fixes, performance improvements, and documentation work.","worth_installing":"Yes, if you work with raster geospatial data and want to avoid GDAL/GEOS dependencies. The library is actively maintained, has low install friction, and offers a broad toolkit for common GIS operations. The feature freeze may slow new feature adoption, but core functionality is stable. Requires Python 3.12+. No known security vulnerabilities."},"id":"xarray-spatial","links":{"html":"https://skillfed.io/packages/xarray-spatial","md":"https://skillfed.io/packages/xarray-spatial.md","pypi":"https://pypi.org/project/xarray-spatial/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-17","license_spdx":null,"license_treatment":"permissive","name":"xarray-spatial","python_support":"supports_current","summary":"xarray-based spatial analysis tools"},"popularity":{"monthly_downloads":130025,"position":11655,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.10.17"}