This application runs on Python 3.7+.
For production, it is preferred to use a multi-threading relational database management system. PyBEL has been best tested on PostgreSQL, so this is preferred for now.
This application uses Celery as a task management system to support asynchronous parsing of BEL documents, running of analyses, and other slow operations.
RabbitMQ, or any other message queue supported by Celery are appropriate.
Because this application is built with Flask, it can be run with the WSGI protocol. Running on a single machine is possible with either the built-in werkzeug test server or something easy to install like gunicorn.
For production, uwsgi seems to work pretty well.