Compare two DataFrames and output their differences side-by-side

I am trying to highlight exactly what changed between two dataframes.

Suppose I have two Python Pandas dataframes:

"StudentRoster Jan-1":
id   Name   score                    isEnrolled           Comment
111  Jack   2.17                     True                 He was late to class
112  Nick   1.11                     False                Graduated
113  Zoe    4.12                     True       

"StudentRoster Jan-2":
id   Name   score                    isEnrolled           Comment
111  Jack   2.17                     True                 He was late to class
112  Nick   1.21                     False                Graduated
113  Zoe    4.12                     False                On vacation

My goal is to output an HTML table that:

1. Identifies rows that have changed (could be int, float, boolean, string)

2. Outputs rows with same, OLD and NEW values (ideally into an HTML table) so the consumer can clearly see what changed between two dataframes:

   "StudentRoster Difference Jan-1 - Jan-2":  
   id   Name   score                    isEnrolled           Comment
   112  Nick   was 1.11| now 1.21       False                Graduated
   113  Zoe    4.12                     was True | now False was "" | now   "On   vacation"
   

I suppose I could do a row by row and column by column comparison, but is there an easier way?