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The EOSC Recommender Metrics Framework relies on MongoDB as a crucial component for its functionality, benefiting from MongoDB's robust and scalable database solution. To install MongoDB, visit the MongoDB Download Center at https://www.mongodb.com/try/download/community, choose your operating system, and follow the installation instructions. Once installed, start the MongoDB server and access the MongoDB shell for seamless database interaction.
To successfully run the program, having Python3 installed is mandatory. Along with the Python3, make sure to check and install the necessary dependencies outlined in requirements.
To further streamline the process and manage the dependencies efficiently, consider utilizing a Python environment manager like Conda. You can install Conda by downloading the installer from the official website e.g. https://www.anaconda.com/products/distribution.
Integrating the UI of the software with Nginx or Apache enhances web server efficiency, offloading tasks like load balancing and static file management. It also adds a layer of security and scalability, allowing it to focus on application logic.