{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/10"},{"label":"Visualization","url":"https://skillfed.io/packages/category/scientific-engineering-visualization"},{"label":"GIS","url":"https://skillfed.io/packages/category/scientific-engineering-gis"},{"label":"Image Processing","url":"https://skillfed.io/packages/category/scientific-engineering-image-processing"},{"label":"Viewers","url":"https://skillfed.io/packages/category/multimedia-graphics-viewers"}],"enrichment":{"capability":"Python client library for Google Earth Engine, enabling programmatic access to satellite imagery and geospatial datasets for remote sensing and environmental analysis.","skillfed_tags":["geospatial","satellite-imagery","remote-sensing"],"use_cases":["Analyze satellite imagery to detect land-use changes or environmental shifts over geographic regions.","Process geospatial data for environmental monitoring, agriculture, or climate research workflows.","Build automated pipelines to compute geospatial metrics and analysis at scale.","Extract and download processed raster data to local storage or cloud storage.","Integrate Earth Engine analyses into larger scientific or environmental applications."],"what_it_does":"The earthengine-api package is a Python client for Google Earth Engine, a cloud-based platform for planetary-scale geospatial analysis. It provides programmatic access to satellite imagery and geospatial datasets, along with tools to process and analyze them. The package wraps Earth Engine's REST API, handling authentication via google-auth and data transfer through google-cloud-storage and google-api-python-client.\n\nDevelopers use it to build remote sensing applications\u2014analyzing land use, monitoring environmental changes, or running large-scale geospatial computations. Many classes and algorithms are loaded dynamically at runtime rather than bundled in the package itself, so the full API surface is larger than what appears in the source code. The package requires Python 3.10 or later and assumes you have a Google account and Earth Engine project set up.","worth_installing":"Yes, if you need programmatic access to Earth Engine's satellite imagery and geospatial analysis tools. The package is actively maintained, has low installation friction, uses permissive licensing, and carries no known vulnerabilities. The main gotcha is that authentication and an Earth Engine project are prerequisites; also, dynamic class loading means you'll rely on the official API Reference."},"id":"earthengine-api","links":{"html":"https://skillfed.io/packages/earthengine-api","md":"https://skillfed.io/packages/earthengine-api.md","pypi":"https://pypi.org/project/earthengine-api/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-10","license_spdx":null,"license_treatment":"permissive","name":"earthengine-api","python_support":"supports_current","summary":"Earth Engine Python API"},"popularity":{"monthly_downloads":616899,"position":5739,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.7.39"}