{"categories":[{"label":"GIS","url":"https://skillfed.io/packages/category/scientific-engineering-gis"}],"enrichment":{"capability":"rio-cogeo creates and validates Cloud Optimized GeoTIFFs (COGs) as a Rasterio plugin, adding internal overviews and tiled structure to geospatial raster files for efficient cloud storage and access.","skillfed_tags":["geospatial","raster-processing","cloud-native"],"use_cases":["Convert existing GeoTIFF archives to COG format for efficient cloud storage and HTTP range-request access.","Validate that raster files meet COG specifications before publishing to cloud platforms like AWS S3 or GCS.","Automate batch COG creation in geospatial data pipelines to optimize downstream web-based visualization or analysis.","Create cloud-native raster datasets with internal overviews for multi-resolution web map serving.","Integrate COG generation into geospatial ETL workflows to reduce data transfer costs in cloud environments."],"what_it_does":"rio-cogeo is a Rasterio plugin that transforms GeoTIFF files into Cloud Optimized GeoTIFFs (COGs), a format optimized for cloud storage and remote access. It enforces COG specifications while adding internal overviews and 512x512 internal tiles to enable efficient partial-file reads over HTTP. The package provides both programmatic and command-line interfaces for conversion and validation, built on top of Rasterio's geospatial I/O layer.\n\nThe plugin depends on click for CLI scaffolding, morecantile for tile management, pydantic for configuration validation, and rasterio for the underlying GDAL integration. It targets modern Python (3.11+) and is actively maintained. Users working with geospatial data in cloud environments\u2014particularly those serving raster data over the web or storing large imagery in object storage\u2014use it to pre-process files into a format that minimizes bandwidth and latency for remote clients.","worth_installing":"Yes. rio-cogeo is actively maintained, has low install friction, carries a permissive BSD license, and solves a concrete problem for anyone working with geospatial rasters in cloud environments. The four runtime dependencies are well-established geospatial libraries. No known security vulnerabilities. Install if you need to create or validate Cloud Optimized GeoTIFFs."},"id":"rio-cogeo","links":{"html":"https://skillfed.io/packages/rio-cogeo","md":"https://skillfed.io/packages/rio-cogeo.md","pypi":"https://pypi.org/project/rio-cogeo/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-03-27","license_spdx":null,"license_treatment":"permissive","name":"rio-cogeo","python_support":"supports_current","summary":"Cloud Optimized GeoTIFF (COGEO) creation plugin for rasterio"},"popularity":{"monthly_downloads":390863,"position":7019,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"7.0.2"}