{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/20"},{"label":"GIS","url":"https://skillfed.io/packages/category/scientific-engineering-gis"}],"enrichment":{"capability":"Constructs xarray objects from parsed geospatial metadata, enabling programmatic assembly of multi-dimensional arrays for raster data workflows.","skillfed_tags":["geospatial","raster-data","xarray"],"use_cases":["Load satellite or aerial imagery metadata and construct xarray datasets for analysis in Jupyter notebooks.","Build lazy-loaded dask-backed arrays from geospatial metadata for memory-efficient processing of large raster collections.","Integrate Earth observation data pipelines where metadata parsing and array construction need to be decoupled.","Construct labeled multi-dimensional arrays from geospatial metadata for time-series or multi-band raster analysis.","Automate xarray object creation in geospatial data processing workflows that consume parsed metadata."],"what_it_does":"odc-loader is a Python library that bridges parsed geospatial metadata and xarray, a popular multi-dimensional array library. It provides tooling to construct xarray Dataset and DataArray objects from metadata, typically used in geospatial and Earth observation workflows where raster data needs to be loaded and organized into labeled, multi-dimensional structures.\n\nThe package integrates with dask for lazy loading, rasterio for raster I/O, and odc-geo for geospatial operations. It targets developers working with gridded geospatial data who need programmatic control over how metadata translates into array structures. The library supports Python 3.10 through 3.13 and carries a permissive license, making it suitable for both research and production use.","worth_installing":"Yes, if you are working with geospatial raster data and need to programmatically construct xarray objects from metadata. The package has low install friction, active maintenance, no known vulnerabilities, and a permissive license. The six dependencies are standard in geospatial Python (rasterio, dask, xarray, numpy). Install it if your workflow involves metadata-driven array construction; skip it if you only need basic raster I/O without xarray integration."},"id":"odc-loader","links":{"html":"https://skillfed.io/packages/odc-loader","md":"https://skillfed.io/packages/odc-loader.md","pypi":"https://pypi.org/project/odc-loader/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-01-14","license_spdx":null,"license_treatment":"permissive","name":"odc-loader","python_support":"supports_current","summary":"Tooling for constructing xarray objects from parsed metadata"},"popularity":{"monthly_downloads":96399,"position":13214,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.6.4"}