Is the reason for the absence of a well-maintained dataframe library lack of demand? It looks like Gota and Dataframe-go are abandoned, while Gonum isn't particularly active. Did these wither on the vine because no one used them?
But then it's natural to evolve production systems out of exploratory analyses, rather than re-writing everything from scratch, unless there is a very compelling reason to do that. The compelling reason is usually to get more speed, but that's not go's strong suit either.