Is your feature request related to a problem? Please describe
Currently, Lotus does not support dynamic data sources. This limitation makes it challenging to use Lotus in projects that rely on real-time or dynamically changing datasets stored in SQL or NoSQL databases. Fetching data from these databases, converting it into CSV or Excel before getting it loaded into a Pandas data frame, and then processing it with Lotus adds unnecessary overhead and limits real-world usability. The process is time consuming and takes up memory space.

Describe the solution you'd like
Support for SQL and NoSQL databases for better integration of LOTUS in projects which require real time data monitoring.

Describe alternatives you've considered
Tried to use external libraries SQLAlchemy and PyMongo to fetch data from databases, converting it to a Pandas data frame, and then using Lotus.

Additional context
The process of using external sources is complex, prone to errors, and would take up a significant amount of time and computational space.