{"categories":[{"label":"GIS","url":"https://skillfed.io/packages/category/scientific-engineering-gis"}],"enrichment":{"capability":"rio-tiler reads raster data from local and remote sources (HTTP, S3, Cloud Storage) via a Rasterio/GDAL wrapper, supporting tile extraction, bounding-box queries, STAC assets, and Xarray datasets.","skillfed_tags":["geospatial","raster-data","cloud-optimized-geotiff"],"use_cases":["Extract Web Mercator tiles from Cloud Optimized GeoTIFFs for dynamic web-map rendering.","Read pixel values or spatial subsets from remote raster sources without downloading entire files.","Merge and resample bands from multiple STAC assets into a single composite image.","Sample raster values at specific geographic coordinates (lon/lat points).","Build tile servers or mosaic services that combine multiple raster sources on-the-fly."],"what_it_does":"rio-tiler is a Python wrapper around Rasterio and GDAL that simplifies reading raster data from diverse sources\u2014local GeoTIFFs, remote HTTP URLs, S3 buckets, and cloud storage. It was originally built to generate slippy-map tiles dynamically from large raster sources, but has evolved to offer general-purpose raster I/O with user-friendly methods for tile extraction, bounding-box queries, point sampling, and feature-based reads.\n\nThe package abstracts away low-level Rasterio complexity, returning data as rio-tiler ImageData objects. It supports STAC item reading (merging bands across multiple assets), Xarray datasets, non-georeferenced images, mosaic operations, and multiple tile-matrix sets via morecantile. Runtime dependencies include numpy, pydantic, cachetools, and geospatial libraries; it requires Python 3.11 or later.","worth_installing":"Yes. rio-tiler is actively maintained, has low install friction, carries no known vulnerabilities, and solves a concrete problem in geospatial workflows. Install it if you need to read raster data (especially tiles or remote sources) without wrestling with raw Rasterio/GDAL APIs. The BSD license is permissive. Only caveat: Rasterio itself requires system GDAL libraries, which may add setup complexity in some environments."},"id":"rio-tiler","links":{"html":"https://skillfed.io/packages/rio-tiler","md":"https://skillfed.io/packages/rio-tiler.md","pypi":"https://pypi.org/project/rio-tiler/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-20","license_spdx":null,"license_treatment":"permissive","name":"rio-tiler","python_support":"supports_current","summary":"User friendly Rasterio plugin to read raster datasets."},"popularity":{"monthly_downloads":361387,"position":7238,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"9.4.2"}