I find the IndexedTables (the underlying dataframe-like structure) model to be nicer to work with DataFrames.jl . It's much narrower API but it's well designed

I find the IndexedTables (the underlying dataframe-like structure) model to be nicer to work with DataFrames.jl . It's much narrower API but it's well designed enough that this is a good thing, imo. The codebase is also a fair bit smaller. It also uses strongly typed tables (e.g. Table<int, string> etc), whereas DataFrames is loosely typed. Again I think this is a good decision (though it does grate with the Julia JIT's property of "being slow" the first time you run a function on a new type) Finally its split into IndexedTables and NDSparse is again a good design decision that I have not seen replicated in any other dataframe library. It just seems all around better designed. On the other hand it is verging on being unmaintained.