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Install and setup the OpenEnergyPlatform Application#

Below we describe the manual installation of the oeplatform code and infrastructure. The installation steps have been proofed on linux and windows for python 3.10.


We also offer the possibility to use docker, to install the oeplatform and additional databases. As the hole setup is pre-configured docker can be used to automatically install the hole infrastructure.

We provide 2 docker container images (OEP-website and OEP-database). The images are updated & published with each release. They can be pulled from GitHub packages.

Here you can find instructions on how to install the docker images.


Currently the docker based installation does not cover the installation of the additional database jenna-fuseki a triple store that stores graph data used in some of our features. It is not mandatory to run the core functionality of the oeplatform. You need to install it manually as described in the installation guide.

All steps & commands in one list

This list of commands will only work on systems where the core system dependencies already exists. Please use the full installation guide in case you encounter errors.

  1. Get code & install dependencies.

    • git clone
    • cd oeplatform
    • python -m venv env
    • source env/bin/activate
    • pip install -r requirements.txt
  2. Setup the OEO integration

    • Instructions on Section 4
    • Automatically added in docker container
  3. Loading and compressing static assets

    • Create your config file from our default settings: Copy & rename oeplatform/ >
    • python collectstatic
    • python compress
    • These steps are automatically added in the docker container
  4. Install databases & setup connection

    • Chose option 1 to use docker to install PostgreSQL and most of the setup automatically. You need to install jenna-fuseki additionally as it is not part of the docker container.
    • Chose 2 to install everything on your directly on your system.
    Option 1: Use docker
    • Install docker
    • while in oeplatform directory cd docker
    • docker compose -f docker-compose.yaml
    • start docker container
    • Additionally install and start jenna-fuseki db as docker or install it locally.
    Option 2: Manual database setup


    • Setup databases PostgreSQL, Jenna-Fuseki
    • Install & start Jenna-Fuseki and create datastore OEKG_DS via the web interface:
    • Install PostgreSQL
    • Use db user postgres with password postgres:
    • Create databases: oep_django, oedb: sudo -u postgres psql
    • Install postgresql extensions hstore, postgis, postgis_topology, pg_trgm
    • Setup the connection to the database server to the Django project by adding the credentials in the oeplatoform/
  5. Run management commands to complete the database setup

    • python migrate
    • python alembic upgrade head
    Sept 3.1: Management commands:

    These commands are most likely not relevant if you are setting up oeplatform for the first time. Use the following command to show a list of all available management commands.

    • python -h
  6. Install react app

    • Install node oder nvm on your system
    • navigate into factsheet/frontend to install the scenario bundles
    • navigate into the oeo_viewer/client to install the oeo viewer
    • Run npm install
    • Navigate back cd ../.. to oeplatform root
    • Make sure the jenna-fuseki database is up and running locally
    • Run management commands to install bot react apps
      • python build_factsheet_app
      • python build_oeo_viewer
    • Update the served javaScript bundle files in templates:
      • factsheet/static/js/main###.js -> factsheet/template/index.html
      • oeo_viewer/static/js/main###.js -> oeo_viewer/template/index.html
  7. Deploy locally

    • Check if the all connected database servers are running.

      • sudo service postgresql start
      • in the directory where you installed
    • python runserver

    • Open Browser URL:

    • create a test user.

0 Prequisit#

The installation instructions mainly refer to the creation of a local instance of the oeplatform with a focus on the development or contribution to the software development on github. Before you start the installation look at this section and think about which operating system you want to use.

Deploying the software on a server to make it publicly accessible via the Internet is a further step.

Notes for deployment#

We do not currently provide instructions for deployment. It also depends heavily on the server environment. In general, a web server (e.g. Appache) and a web server gateway for Python (e.g. mod_wsgi) are required to make the software available on the internet.

1 Setup the repository#

Recommended: Create a directory to store the oeplatform code and additional resources.

mkdir oep-website
cd oep-website

Clone the repository locally

git clone

2 Setup virtual environment#

Navigate to the oeplatform directory you just cloned

cd oeplatform

Below we explain two methods to install the virtual environment for python.

If you are a windows user, we recommend you use conda because of the dependency on the shapely package. It was causing installation issues that potentially have resolved. Don't forget to activate the environment after the setup is done.

conda env create -f environment.yml
conda activate env

If you are not using windows or don't want to use conda, here you can find instructions for setting up virtual environment. In short: You can also use Python to create the environment. Make sure you install the venv package for your python version. Don't forget to activate the environment.

On linux you can use:

sudo apt install python3.xx-venv # change xx to your exact version
python3 -m venv env
source env/bin/activate

After you have activated your virtual environment, install the required python libraries

pip install -r requirements.txt

3 Setup the OpenEnergyOntology integration#

3.1 Include the full oeo#

It is necessary to include the source files of the OpenEnergyOntology (OEO) in this project. The goal is to have a new directory like you see below inside the oeplatform directory. The new folder should be stored alongside the django apps and other code related files.

``` bash
└── oeo
    └── 1.0.0 # in production this will be the version of a specific OEO release
        ├── imports
        ├── modules
        └── oeo-full.owl

The directory where all ontologies are stored is called "ontologies". If you want to change the name of the directory you have to update the file for the oeplatform also. The following variables are relevant for the configuration of the ontology integration. In most cases, you can use the default settings.

ONTOLOGY_FOLDER # Name of the folder for all ontologies
ONTOLOGY_ROOT   # constructed Path for all ontologies
OPEN_ENERGY_ONTOLOGY_FOLDER # constructed Path for the oeo directory

If you use the default naming "ontologies" you should create this directory. Then you can download the full oeo release files from GitHub and unzip them into the new directory. To validate you can check whether you can find the file "oeo-full.owl".


Download the full oeo release from GitHub: Assets - and extract the oeo directory to match the pattern provided above.

Get only the oeo full-oeo.owl from the

4 Loading and compressing static assets from the Oeplattform applications#

Static data is often stored in the django apps and various additional scripts are loaded, e.g. in HTML files. To enable django to access these resources more efficiently, various management commands are used to collect and partially compress the relevant files.

To be able to run the commands below we first need to Setup the security settings file for local development. This file is specific to your local settings. In production environment it is used to store / retrieve critical information that must not be pushed to any publicly available source control system like GitHub.

  • Navigate to oeplatform/oeplatform
  • copy the file and rename it to
How to configure

The security settings provide information to django to connect to your databases relevant for step 5. below . You can provide the access credentials directly in the script or import them using environment variables. For detailed instructions see section 3. of the manual database setup guide.

After the above setup is done make sure the python environment is activated and then run:

python collectstatic
python compress

5 Databases setup#

We use two relational databases to store the oeplatform data:

  • The oep-django database is our internal database. It is used to store the django application related data. This includes things like user information, reviews, table names, ...
  • Our primary database is the OEDB (Open Energy Database). It is used to store all data the user uploaded. In production it stores multiple terabyte of data.

Additional we use a triple store database:

  • Store the open energy ontologies and open energy knowledge graph
  • For now this is not part of the installation guide as it is not mandatory to run the oeplatform and can be added later.

5.1 How to install the databases#

The required steps are:

  1. Install the database manually

    • You chose to install the databases manually by installing PostgreSQL & jenna-fuseki and complete the setup. In this case you can follow our manual database setup guide.

    • Using this option you will install the jenna-fuseki & postgresql databases on your local system. You need to start both databases manually before you can start using them for development.

  2. User Docker

    • You can also use our docker based installation to install a container which will automatically setup the two databases. You still have to install docker on your system. Here you can find instructions on how to install the docker images.

    • The jenna-fuseki triple store is not part of the docker image so far. You would either have to setup the public docker image here and adjust the credentials in the or you can perform the steps explained in Section 1.2 of the manual database setup to install the jenna-fuseki database on your system. You will have to start the service manually afterwards.

5.2 Create the database table structures#

Before you can start development, you need to setup tables in the two PostgreSQL databases. To do this, you can run two management commands. The django command will set up all structures required by the oep system in the oep_django database and the alembic command will create all the structures in the OEDB. These structures define how large amounts of uploaded user data is stored in the database. On a high level this is similar to partitions on you personal computer. This structure help's the developers and the system to find the data and group data together.

First verify that your database service is running. In case you are using docker start the container. If you installed postgresql locally start the service. On Linux you can use the following command in the terminal:

sudo service postgresql start

5.2.1 Django setup - oep_django#

In order to run the OEP website, the django database needs some extra management tables. We use the django specific migrations. Each django app defines it own migrations that keep track of all changes made to any app related tabes. The table structure itself is defined as an abstraction in the for each django app.

python migrate

5.2.2 Alembic setup - oedb#

In order to run the OEP website, the primary database needs some extra management tables. We use alembic to keep track of changes to the general structure of the primary database and its initial state e.g. what tables should be there and more. To create all tables that are needed, simply type:

python alembic upgrade head


If you encounter errors in this step verify that your database service is available, the databases oep_django and oedb exist and your provide the correct access credentials.

6 Install the OpenEnergyOntology tools#

Only start the following steps if you have completed step 3 above.

6.1 Setup the OEO-viewer app#

Optional Step

This step is not mandatory to run the oeplatform-core as it is a plug able React-App. If you don't include this step you can access the oeplatform website including most ontology pages except for the oeo-viewer.

The oeo-viewer is a visualization tool for our OEO ontology and it is under development. To be able to see and use the oeo-viewer as part of the oep-website, follow the steps below:

1- Install npm:

To install npm it is suggested to use the node version manager.

  • On Linux & Mac go here

  • On windows see here.

  • install node version 18

2- Get the ontology files (see Section 3)

3- Build the oeo-viewer:

cd oep-website/oeo_viewer/client
npm install
npm run build

After these steps, a static folder inside oep-website/oeo_viewer/ will be created which includes the results of the npm run build command. These files are necessary for the oeo-viewer.

7 Setup the Scenario-Bundles app#

Optional Step

This step is not mandatory to run the oeplatform-core as it is a plug able React-App. If you don't include this step you can access the oeplatform website except scenario-bundle pages including the scenario-comparison React modules.

In the django app directory oeplatform/factsheet we provide a Web-API to access the OEKG and the Scenario-Bundle feature. Similar to the oeo-viewer we need to use npm to install & build the Scenario-Bundle app and integrate the build in the django app.

  1. Make sure npm is installed.
  2. Start the jenna-fuseki database (see instructions from the installation).

    The connection to the database API is setup in the factsheet/ you have to make sure that you provide the correct URL to you database instance. In development mode it should be something like:

    query_endpoint = 'http://localhost:3030/ds/query'
    update_endpoint = 'http://localhost:3030/ds/update'
  3. Configure the the React app:

    To be able to construct the API URLS that are necessary for communication between the react frontend and the django backend in the react code we have to configure the URL where our django application is available. In development mode this should be:

    "toep": ""

    Add this line to factsheet/frontend/src/conf.json

  4. Build the scenario bundle app:

    cd factsheet/frontend
    npm install
    cd ../..
    # Use the django management command
    python build_factsheet_app
  5. Serve the React build on a django website

    To serve the React build on a website that is provided by django you have to include the build files from the factsheet/static directory in the django template in factsheet/templates/index.html. In the html template the you must make sure that the JavaScript bundle file is imported. The name of the file changes after each new build and it should read like main.5654a0e0.js.

    The tamplate should then include this line:

    <script src="{% static 'factsheet/js/main.55586e26.js' %}"></script>

Next steps#

Have a look at the steps described in the Development & Collaboration section.