{"categories":[{"label":"GIS","url":"https://skillfed.io/packages/category/scientific-engineering-gis"},{"label":"Graphics Conversion","url":"https://skillfed.io/packages/category/multimedia-graphics-graphics-conversion"}],"enrichment":{"capability":"Rasterio reads and writes geospatial raster data in formats like GeoTIFF, providing a Python API based on N-D arrays for working with gridded datasets.","skillfed_tags":["geospatial","raster-data","gdal"],"use_cases":["Read satellite or aerial imagery bands and perform band math (e.g., averaging RGB to create panchromatic data).","Extract raster data within a georeferenced bounding box or window for regional analysis.","Convert between raster formats (e.g., GeoTIFF to netCDF) with coordinate system and compression control.","Inspect and validate raster metadata (CRS, transform, band count) before processing.","Write processed NumPy arrays back to georeferenced raster files with custom compression and data types."],"what_it_does":"Rasterio is a Python library for reading and writing geospatial raster data\u2014gridded datasets stored in formats like GeoTIFF that are common in geographic information systems. It wraps GDAL and exposes raster I/O through a NumPy-based API, letting you read bands directly into arrays, inspect metadata like coordinate reference systems and transforms, and write processed data back to disk.\n\nThe library is designed for developers working with satellite imagery, digital elevation models, and other gridded geospatial data. It includes a command-line tool (rio) for interactive inspection and format conversion, plus support for plugins to extend functionality. Rasterio 1.5+ requires Python >= 3.12, NumPy >= 2, and GDAL >= 3.8, with official binary packages available for major platforms.","worth_installing":"Yes. Rasterio is actively maintained, production-stable, has no known vulnerabilities, and is the standard Python interface for raster I/O in geospatial workflows. Medium install friction is manageable given the availability of official binary wheels. Install if you work with gridded geospatial data."},"id":"rasterio","links":{"html":"https://skillfed.io/packages/rasterio","md":"https://skillfed.io/packages/rasterio.md","pypi":"https://pypi.org/project/rasterio/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-08","license_spdx":"BSD-3-Clause","license_treatment":"permissive","name":"rasterio","python_support":"supports_current","summary":"Fast and direct raster I/O for use with NumPy"},"popularity":{"monthly_downloads":9654386,"position":1513,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.5.1"}