---
id: earthengine-api
version: "1.7.39"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# earthengine-api — Earth Engine Python API

License: permissive · Maintenance: active · Downloads: 616.9K/mo

## 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 above — 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

pip install earthengine-api
uv add earthengine-api
poetry add earthengine-api

## Installing 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_current
- Install friction: low
- Maintenance: active
- Downloads: 616.9K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

earth engine python client, satellite imagery analysis, geospatial data processing, remote sensing api, google earth engine python, environmental monitoring data, raster image analysis, geospatial, satellite-imagery, remote-sensing

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