Can I use Great Expectations to validate non-tabular data? For example, graphs, nested fields, etc.?
Currently, Great Expectations can be used to validate only tabular data - Pandas dataframes, Spark dataframes, database tables and query results.
There is no theoretical reason why Great Expectations’s approach cannot be extended to non-tabular data, but it has not been done yet.
As a workaround, some users who want to use Great Expectations to validate their non-tabular data transform it into a tabular format.