This project takes a different approach, in that it handles the displaying of JSON node leaf data in a more human way. E.g for hex colours showing a colour picker or a date picker for dates.
What sets this tool apart however is the static analysis of the JSON data, which in doing so can uncover divergences or outliers in the data. E.g a single null value somewhere, or supposedly data which deviates from the majority data-type (i.e a number where every other value is a string).
I think there's value proposition in just edge case detection. Datasets can be massive, with something like JSON there exists no formal type verification. Although to be honest, I don't see a valid reason to use JSON as a backend given graph based databases with type-safe schemas exist.