Should not be a real blocker. There is good interop with arrow, numpy and pandas. Where arrow and numpy mostly is zero-copy. So you are one `df.to_numpy()/df.t

Should not be a real blocker. There is good interop with arrow, numpy and pandas. Where arrow and numpy mostly is zero-copy. So you are one `df.to_numpy()/df.to_pandas()` away to `X` libary you want to use.