1. Download and install Miniconda using the following instructions https://conda.io/docs/user-guide/install/linux.html

  2. Open your favourite terminal to execute the following commands.

  1. Add the conda-forge channel
    conda config --add channels conda-forge

    The conda-forge channel provides multitude of community maintained packages. Find out more about it here https://conda-forge.org/

  2. Create a virtual environment in conda
    conda create --name cubeenv python=3.6 datacube
  3. Activate the virtual environment
    source activate cubeenv

    Find out more about managing virtual environments here https://conda.io/docs/using/envs.html

  4. Install other packages
    conda install jupyter matplotlib scipy

    Find out more about managing packages here https://conda.io/docs/using/pkgs.html

Datacube is now installed and can be used in a terminal by activating the cubeenv environment.

Manual Installation (Fallback)

Only follow these steps if the Miniconda installation does not suit your needs.

Required software

HDF5, and netCDF4:

apt-get install libhdf5-serial-dev libnetcdf-dev


apt-get install libgdal1-dev

Optional packages (useful utilities, docs):

apt-get install postgresql-doc-9.5 libhdf5-doc netcdf-doc libgdal1-doc
apt-get install hdf5-tools netcdf-bin gdal-bin pgadmin3

Python and packages

Python 3.5+ is required. Python 3.6 is recommended.

Download the latest version of the software from the repository and install it:

git clone https://github.com/opendatacube/datacube-core
cd datacube-core
git checkout develop
python setup.py install

It may be useful to use conda to install binary packages:

conda install psycopg2 gdal libgdal hdf5 rasterio netcdf4 libnetcdf pandas


Usage of virtual environments is recommended