{"categories":[{"label":"GIS","url":"https://skillfed.io/packages/category/scientific-engineering-gis"}],"enrichment":{"capability":"rio-stac creates valid STAC Items from raster datasets by reading geospatial metadata and generating standardized catalog entries compatible with the STAC specification.","skillfed_tags":["geospatial","stac-catalog","raster-data"],"use_cases":["Catalog satellite imagery or aerial photography into a STAC-compliant repository for discovery and access.","Automate metadata extraction from GeoTIFF or COG files to populate a geospatial data catalog.","Generate STAC Items for raster datasets as part of a data ingestion pipeline into cloud-native geospatial systems.","Create standardized metadata records for raster analysis outputs to make them discoverable in STAC APIs.","Batch-process multiple raster files to generate STAC Items for archival or publication."],"what_it_does":"rio-stac is a rasterio plugin that transforms raster datasets into valid STAC Items\u2014standardized geospatial catalog entries that follow the Spatiotemporal Asset Catalog specification. It reads raster metadata (CRS, bounds, bands, statistics) and wraps them in a STAC-compliant JSON structure, making raster data discoverable and interoperable within STAC ecosystems. The library is built on pystac to ensure strict adherence to the STAC specification.\n\nTypical use is in geospatial data pipelines where you need to catalog raster files for discovery, archival, or integration into larger data systems. It extracts projection information, band statistics, and geometry automatically, then generates a complete STAC Item with assets, links, and metadata ready for publication to a STAC catalog or API.","worth_installing":"Yes. The package is actively maintained, has low install friction, carries a permissive license, and solves a specific and well-defined problem in geospatial data cataloging. It is suitable for production use in STAC-based workflows, with no known security vulnerabilities and support for current Python versions (3.10\u20133.13)."},"id":"rio-stac","links":{"html":"https://skillfed.io/packages/rio-stac","md":"https://skillfed.io/packages/rio-stac.md","pypi":"https://pypi.org/project/rio-stac/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2025-09-17","license_spdx":null,"license_treatment":"permissive","name":"rio-stac","python_support":"supports_current","summary":"Create STAC Items from raster datasets."},"popularity":{"monthly_downloads":94741,"position":13310,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.12.0"}