{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/17"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/8"}],"enrichment":{"capability":"sentinelhub provides a Python interface to Sentinel Hub's satellite data APIs and geospatial utilities, enabling access to Sentinel, Landsat, MODIS, and other satellite imagery collections through Process, Catalog, Batch, and Statistical APIs.","skillfed_tags":["satellite-imagery","geospatial","remote-sensing"],"use_cases":["Download and process Sentinel-2 or Landsat imagery for a geographic region using the Process API","Query available satellite data collections and their metadata via the Catalog API","Submit large-scale satellite processing jobs asynchronously through the Batch Processing API","Compute statistical summaries (e.g., NDVI, cloud cover) over areas using the Statistical API","Integrate satellite data retrieval into geospatial data pipelines built with eo-learn"],"what_it_does":"sentinelhub is the official Python client for Sentinel Hub's satellite data platform. It abstracts the complexity of multiple Sentinel Hub APIs\u2014Process, Catalog, Batch, Statistical, and OGC services\u2014into a unified Python interface, allowing developers to query, retrieve, and process satellite imagery from Sentinel, Landsat, MODIS, and custom data collections. The package also bundles geospatial utilities for coordinate transformations, large-area splitting, and data I/O, building on established libraries like numpy, shapely, and pyproj.\n\nThe package is designed for researchers, data engineers, and developers working with satellite imagery in Python workflows. It handles authentication, rate limiting, and API communication transparently, and serves as a core dependency for eo-learn, a framework for building geospatial data-processing pipelines. Most users configure it once with their Sentinel Hub credentials, then use its request and query classes to fetch imagery and metadata.","worth_installing":"Yes. sentinelhub is actively maintained, production-stable, has low install friction, carries no known vulnerabilities, and is the official client for a widely-used satellite data platform. Install it if you need programmatic access to Sentinel Hub's imagery APIs; skip it if you don't use Sentinel Hub or prefer direct REST calls."},"id":"sentinelhub","links":{"html":"https://skillfed.io/packages/sentinelhub","md":"https://skillfed.io/packages/sentinelhub.md","pypi":"https://pypi.org/project/sentinelhub/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-03-10","license_spdx":null,"license_treatment":"permissive","name":"sentinelhub","python_support":"supports_current","summary":"Python API for Sentinel Hub"},"popularity":{"monthly_downloads":92416,"position":13452,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"3.11.5"}