earthengine-api
Earth Engine Python API
What it is and 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.
Developers use it to build remote sensing applications—analyzing 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.
Use it for:
- 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.
Worth the install?
AI-flagged interpretation of the facts on this page — verify before relying
Python client library for Google Earth Engine, enabling programmatic access to satellite imagery and geospatial datasets for remote sensing and environmental analysis.
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.
Install
earthengine-api on PyPI
pip
pip install earthengine-apiuv
uv add earthengine-apipoetry
poetry add earthengine-apiInstalling earthengine-api
Before you install
Low friction installation with a pure-Python wheel distribution. Actively maintained with a release 4 days ago. Depends on well-established Google Cloud libraries and standard HTTP utilities.
License in practice
Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions—suitable for most projects.
Quickstart
pip install earthengine-api
import earthengine_api
# Authenticate and initialize with Google credentials
# Access Earth Engine datasets through the client
Requires Google account and Earth Engine project registration; authentication is mandatory before use.
Verify before relying
- Whether dynamically loaded classes and algorithms are fully discoverable through standard Python introspection or IDE autocomplete.
- Performance characteristics and rate limits when querying large satellite imagery datasets.
- Whether the Alpha status (Development Status :: 3) indicates API stability or ongoing breaking changes.
- Specific authentication flow and credential setup requirements beyond Google account registration.
Package facts
| License | Apache-2.0 (permissive) |
| Python support | supports the current Python release (>=3.10) |
| Install friction | low — pure-Python wheel |
| Runtime dependencies | 6 — google-cloud-storage, google-api-python-client, google-auth, google-auth-httplib2, httplib2, requests |
| Maintenance | actively maintained — 4 days since the last release |
| First released | |
| Downloads | 616,899/month — #5,739 on PyPI (30-day window, as of 2026-08-14) |
| Known vulnerabilities | none known (OSV.dev, checked 2026-08-14) |
Evidence: earthengine_api-1.7.39-py3-none-any.whl
Keywords: earth engine, image analysis
Tags
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