Technologies

The project is built using the following technologies:

  • Python - The main programming language used for the project.

  • Docker - Used for containerization and deployment of the project.

  • Docker Compose - Used for defining and running multi-container Docker applications.

  • MongoDB - Used as the NoSQL database for storing experiment metadata and results.

  • MLflow - Used for experiment tracking and management.

  • Effector - Used for managing the state of the application.

  • PyDantic - Used for data validation and settings management.

  • FastAPI - Used for building the backend API.

The project consists of 3 main components:

  • Backend: The backend is built using FastAPI and is responsible for handling API requests
    and managing the interaction with the database and MLflow.

  • Frontend: The frontend is built using Vue.js and is responsible for providing a user interface for interacting with the backend API and visualizing experiment results.

  • Data Exploration Environment: The data exploration environment is built using Jupyter and is responsible for providing tools for analyzing and visualizing experiment results.

The technologies used in the project per component are:

  • Backend:

    • Docker version >= 28.1.1

    • Docker Compose version >= v2.35.1-desktop.1

    • Python 3.11

    • MLflow version >= 2.18.0

    • Core Libraries:

      • fastapi[standard]

      • notebook==6.5.4

      • python-decouple

      • pydantic==2.9.1

      • pydantic_settings==2.4.0

      • mlflow==2.18.0

  • Frontend:

    • Docker version >= 28.1.1

    • Docker Compose version >= v2.35.1-desktop.1

    • Node.js version >= 20.0

    • pnpm version >= 9.2.0

    • Vite

    • VUE 3 & Typescript

      • Core Libraries:

        • vue@^3.5.13

        • vue-router@4

        • @headlessui/vue@1.7.23

        • @heroicons/vue@2.2.0

        • @tanstack/vue-query@^5.81.2

        • axios@^1.9.0

        • keycloak-js@^26.2.0

        • tailwindcss@3.4.17

        • autoprefixer@^10.4.21

        • postcss@^8.5.4

  • Data Exploration Environment:

    • Docker version >= 28.1.1

    • Docker Compose version >= v2.35.1-desktop.1

    • jupyter/scipy-notebook:latest image