earthengine-api
Earth Engine Python API
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Google account and Earth Engine project registration; authentication is mandatory before use.
- Low friction installation with a pure-Python wheel distribution.
- Actively maintained with a release 4 days ago.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions—suitable for most projects.
last release 2026-08-10 (4 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 616,899 downloads/mo, #5,739 on PyPI
Alternatives
Verify before relying
pip install earthengine-api
import earthengine_api
# Authenticate and initialize with Google credentials
# Access Earth Engine datasets through the client- 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.
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 on it.
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
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.
Requires Google account and Earth Engine project registration; authentication is mandatory before use.
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 clientVerify 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 packagesgoogle-cloud-storagegoogle-api-python-clientgoogle-authgoogle-auth-httplib2httplib2requests |
| 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 |
| Classifiers | Development Status :: 3 - AlphaIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Multimedia :: Graphics :: ViewersTopic :: Scientific/Engineering :: GISTopic :: Scientific/Engineering :: Image ProcessingTopic :: Scientific/Engineering :: VisualizationTopic :: Software Development :: Libraries :: Python Modules |
Evidence: earthengine_api-1.7.39-py3-none-any.whl
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See also datacube · geemap · sentinelhub · xee · earthaccess · eerepr · python-cmr · torchgeo · whitebox · pystac-client