🎉 openEO API 1.3.0 released — read the release notes →

🌍 v1.3.0 now available

Open-Source API
for Earth Observation Analysis

The openEO API allows users to connect to Earth observation cloud back-ends in a simple and unified way.

Get Started →

100+

EO Collections

100+

Processes

Backends

100000+

Users

What is openEO

One API.
Any cloud. Any language.

Whether you're using Python, R , JavaScript or Julia - openEO lets you write your analysis once and run it on any compatible back-end. No vendor lock-in. No rewriting code.

✓

Standardised processes Use the same process names across different openEO back-ends

✓

Datacube concept Work with spatiotemporal datacubes natively

✓

Reusable Share and reuse EO workflows as processes

✓

Open source Apache 2.0: inspect, extend, contribute

s
        
example.py
import openeo

# Connect to any openEO back-end
conn = openeo.connect("BACKEND_URL")
conn.authenticate_oidc()

# Load Sentinel-2 data as a datacube
cube = conn.load_collection(
    "SENTINEL2_L2A",
    spatial_extent={"west": 4.0, "east": 4.5,
                    "south": 51.0, "north": 51.5},
    temporal_extent=["2024-06-01", "2024-08-31"],
    bands=["B04", "B08"]
)

# Compute NDVI
ndvi = cube.ndvi(nir="B08", red="B04")
ndvi.download("ndvi.nc")

Caution

openEO is not to be confused with independant services that implement the specifications such as openEO Platform or CDSE. For a list of services built on top of openEO, please visit the openEO Hub.

With openEO

Are you interested in...

openEO can be used to process and analyze Earth observation data from diverse sources in a unified and efficient manner.

📖

Downloading RGB image

Learn how to download and visualize RGB images from Earth observation data.

→ docs_light.html

🔧

Performing Band Math

Perform mathematical operations on different spectral bands to derive new insights from Earth observation data.

→ evi calculation

🐍

Bringing your own functions

Define and use your own functions to process Earth observation data within openEO workflows.

→ User-Defined-Function

📊

Share EO workflow as Service

Deploy and manage your Earth observation workflows as a service, enabling automated processing and analysis.

→ User-defined-process

⚡

Large-scale Processing

Process and analyze large volumes of Earth observation data efficiently using openEO's scalable infrastructure.

→ Scalability

🗺️

Using Random Forest

Apply machine learning algorithms like Random Forest to classify and analyze Earth observation data.

→ Random Forest guide

Get started

Choose your path

New to openEO? Start with a guide for your preferred language or tool.

📖

Concepts & Glossary

Understand datacubes, processes, UDFs, and the openEO data model before writing any code.

→ docs_light.html

🔧

Cookbook

Get started with practical examples and step-by-step guides to use openEO effectively for a specific usecase.

→ Step-by-step guide

🔧

Built-in openEO Processes

Learn how to use different openEO processes to analyze Earth observation data efficiently using either 🐍 Python, 📊 R or ⚡ JavaScript clients.

→ software list

🗺️

QGIS Plugin

Access openEO back-ends directly from QGIS with a graphical interface to visualize openEO outputs.

→ QGIS guide

🔧

For Developers

Build a back-end or client library. API reference, profiles, and implementation guidelines.

→ developer docs

What’s new

Date	Title	Author
May 14, 2026	OGC publishes openEO as a new Community Standard	Matthias Mohr
Feb 3, 2026	openEO API 1.3.0 and openEO Processes 2.0.0 RC2 released	Matthias Mohr
Dec 22, 2025	New openEO QGIS plugin has been released	Matthias Mohr, Caro Niebl