Create a full Earth Observation API with Metadata, Raster, and Vector services.
Documentation: https://eoapi.dev
Source Code: https://github.com/developmentseed/eoAPI
eoAPI
combines several state-of-the-art projects to create a full Earth Observation API. Each service can be used and deployed independently, but eoAPI
creates the interconnections between each service:
-
pgSTAC database https://github.com/stac-utils/pgstac
-
STAC API built on top of https://github.com/stac-utils/stac-fastapi
-
STAC Items And Mosaic Raster Tiles API built on top of https://github.com/stac-utils/titiler-pgstac
-
OGC Features and Vector Tiles API built on top of https://github.com/developmentseed/tipg
-
A STAC Catalog browsing UI based on the radiant earth browser : https://github.com/radiantearth/stac-browser
eoAPI
is proudly open-source and driven by a dedicated community of contributors. We believe in the power of open collaboration and welcome anyone to contribute, discuss, and grow this tool. Join the conversations on GitHub Discussions and make a difference in the Earth Observation realm.
The easiest way to start exploring the different eoAPI services is with Docker. Clone this repository and start the multi-container Docker applications using Compose
:
git clone https://github.com/developmentseed/eoAPI.git
cd eoAPI
docker compose up
Once the applications are up, you'll need to add STAC Collections and Items to the PgSTAC database. If you don't have, you can use the follow the MAXAR open data demo (or get inspired by the other demos).
Then you can start exploring your dataset with:
- the STAC Metadata service http://localhost:8081
- the Raster service http://localhost:8082
- the browser UI http://localhost:8085
If you've added a vector dataset to the public
schema in the Postgres database, they will be available through the Vector service at http://localhost:8083.
This repository has current runtimes that are consistently updated with new functionality.
The services can be deployed altogether locally with docker compose up
.
Alternatively, you may install the libraries and launch the applications manually :
python -m pip install --upgrade virtualenv
virtualenv .venv
source .venv/bin/activate
export DATABASE_URL=postgresql://username:[email protected]:5439/postgis # Connect to the database of your choice
python -m pip install uvicorn
###############################################################################
# Install and launch the application
# Select one of the following
###############################################################################
# STAC
python -m pip install "psycopg[binary,pool]" stac-fastapi-pgstac
.venv/bin/uvicorn stac_fastapi.pgstac.app:app --port 8081 --reload
###############################################################################
# RASTER
python -m pip install "psycopg[binary,pool]" titiler-pgstac
.venv/bin/uvicorn titiler.pgstac.main:app --port 8082 --reload
###############################################################################
# VECTOR
python -m pip install tipg
.venv/bin/uvicorn tipg.main:app --port 8083 --reload
Note: python libraries might have incompatible dependencies, which you can resolve by using a virtual environment for each ones
eoapi-k8s contains IaC and Helm charts for deploying eoAPI services on AWS and GCP.
eoapi-cdk defines a set of AWS CDK constructs that can be used to deploy eoAPI services on AWS. This repository itself makes use of these in infrastructure/aws
. An official example usage of these constructs can be found at eoapi-template.
The eoAPI repository hosts customized versions of each base service which can work in parallel or in combination with each other.
eoAPI custom runtimes can be launched with docker
docker compose -f docker-compose.custom.yml --profile gunicorn up
Alternatively, you may launch the application locally:
python -m pip install --upgrade virtualenv
virtualenv .venv
source .venv/bin/activate
python -m pip install "psycopg[binary,pool]" uvicorn
python -m pip install runtime/eoapi/{SERVICE} # SERVICE should be one of `raster, vector, stac.`
export DATABASE_URL=postgresql://username:[email protected]:5439/postgis # Connect to the database of your choice
.venv/bin/uvicorn eoapi.{SERVICE}.app:app --port 8000 --reload
Note: services might have incompatible dependencies, which you can resolve by using a virtual environment for each service
We highly value and rely on our community! You can make a difference whether you're an expert or just getting started. Here's how:
- Contribute: Check out our CONTRIBUTING.md guide to understand how you can contribute.
- Engage in Discussions: Share your ideas, ask questions, or provide feedback through GitHub Discussions. This is where most of our project conversations take place.
- Report Issues: Found a bug or have a feature request? Raise it on our issues page.
At Development Seed, we believe in open collaboration and making tools and data more accessible. In line with this ethos, we've explicitly chosen a MIT license for eoAPI
.
For full license details, see LICENSE.
Nurtured by Development Seed
See contributors for a listing of individual contributors.
See CHANGES.md.