Pros:

Everything is pretty much perfect with Saul, I can interact with raw data and setting in a graph-structured, using data models, even with the originally available data structures! We can also design flexible learning models and flexible querying for the data model graphs! They are a few bugs in it, but I'll get onto that later! Review collected by and hosted on G2.com.

Cons:

As said before there a few bugs wrong with Saul, for example, training a classifier should overwrite the .lex, which it doesn't. And more, we are told they are being worked out as quickly as possible. The GitHub page is open sourced and being updated on constantly! Review collected by and hosted on G2.com.