OpenEO Processes Dask
openeo-processes-dask is a collection of Python implementations of OpenEO processes based on the xarray/dask ecosystem. It is intended to be used alongside with openeo-pg-parser-networkx, which handles the parsing and execution of OpenEO process graphs. There you'll also find a tutorial on how to register process implementations from an arbitrary source (e.g. this repo) to the registry of available processes.
Installation
Conda (recommended — mirrors CI)
Conda-forge provides GDAL system libraries and Python bindings as a single coherent package. Once installed, pip does not need to touch GDAL at all.
conda create -n openeo_processes_dask -c conda-forge python=3.12 gdal
conda activate openeo_processes_dask
pip install openeo-processes-dask[implementations]
Micromamba (lightweight alternative):
micromamba create -n openeo_processes_dask -c conda-forge python=3.12 gdal
micromamba activate openeo_processes_dask
pip install openeo-processes-dask[implementations]
System packages (Ubuntu/Debian)
If you already have GDAL system libraries, pin the pip gdal wheel to the matching version.
Ubuntu 24.04 ships GDAL 3.8.4 — the minimum version required for system-level installation:
sudo apt-get install gdal-bin libgdal-dev python3-gdal
pip install "gdal==$(gdal-config --version)" openeo-processes-dask[implementations]
This pin avoids the common mismatch between a pip
gdalwheel and your systemlibgdal. When using conda (above) this is unnecessary because conda-forge provides both the library and the Python binding together.
Note that by default pip install openeo-processes-dask only installs the JSON process specs.
In order to install the actual implementations, add the implementations extra as shown in the examples above.
Extra build variants
A subset of process implementations with heavy or unstable dependencies are hidden behind these extras:
-
ML processes:
pip install openeo-processes-dask[ml]
⚠️ Note on GDAL:
The implementations extra depends on GDAL transitively via rasterio, rioxarray, odc-stac, and geopandas.
Always install GDAL first (via conda-forge or system packages) before pip-installing extras.
The ml (xgboost) and deforestation (rqadeforestation) extras do not directly depend on GDAL.
This project requires GDAL >=3.8.4 (the version shipped by Ubuntu 24.04) and is CI-tested against conda-forge GDAL on Python 3.10–3.13.
Version-ceiling policy: Library dependencies in pyproject.toml declare only minimum versions (>=X). Any upper bounds (<Y) needed for CI go into [tool.poetry.group.ci.dependencies] (or the conda ci-environment.yml pin) so downstream consumers are never blocked. Install the civersions extra if your environment also needs the ceiling.
Development environment
This package requires at least Poetry 2.2, see their docs for installation instructions.
Clone the repository with --recurse-submodules to also fetch the process specs:
git clone --recurse-submodules git@github.com:Open-EO/openeo-processes-dask.git
Development setup (CI pattern — conda-forge GDAL + Poetry):
# 1. Create conda env with GDAL (mirrors `.github/ci-environment.yml`)
conda create -n openeo_processes_dask_dev -c conda-forge python=3.12 gdal
conda activate openeo_processes_dask_dev
# 2. Install Poetry deps into the conda env
poetry config virtualenvs.create false
poetry install --with dev,ci --all-extras
# 3. Verify GDAL
gdalinfo --version
python -c "from osgeo import gdal; print('GDAL Python:', gdal.__version__)"
poetry config virtualenvs.create falseensures GDAL from conda-forge is visible to pip-installed geospatial packages (rasterio,rioxarray, etc.). Without this, Poetry's isolated venv may not find the conda-forge GDAL libraries.
To add a new core dependency run:
poetry add some_new_dependency
To add a new development dependency run:
poetry add some_new_dependency --group dev
To run the test suite run:
poetry run python -m pytest
Note that you can also use the virtual environment that's generated by poetry as the kernel for the ipynb notebooks.
Pre-commit hooks
This repo makes use of pre-commit hooks to enforce linting & a few sanity checks. In a fresh development setup, install the hooks using poetry run pre-commit install. These will then automatically be checked against your changes before making the commit.
Specs
The json specs for the individual processes are tracked as a git submodule in openeo_processes_dask/specs/openeo-processes.
The raw json for a specific process can be imported using from openeo_processes_dask.specs import reduce_dimension.
To bump these specs to a later version use:
git -C openeo_processes_dask/specs/openeo-processes checkout <tag>
git add openeo_processes_dask/specs/openeo-processes
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