Installation

To install the platform you can choose from two different approaches.

• Using the main repository: Clone the main repository and activate the Docker daemon. Finally, run the following command:

  docker compose --profile ui --profile init-data up

See README file for further information and details.

• Using the Python Installer: Install the Python installer via poetry or pip.

  • With poetry:

    1. Clone the repository using git clone https://github.com/radicalbit/radicalbit-ai-monitoring-installer.git.
    2. Move inside the repository using cd radicalbit-ai-monitoring-installer.
    3. Install poetry using poetry install.

  • With pip: Just run pip install radicalbit-ai-monitoring.

  Once you have installed the Python package, activate the Docker daemon and run the following commands:

  rbit-ai-monitoring platform install
  rbit-ai-monitoring platform up

After all the containers are up & running, you can go to http://localhost:5173 and play with the platform.

Spark tuning

We use Spark jobs to calculate metrics: if you need to tune Spark configuration in order to optimize performance for large files or accelerate computations, please refer to the corresponding section of this README file.