Right now, the DataFrame package doesn't support row indices like Pandas does. Row indices are especially useful time series data, and there's another package c

Right now, the DataFrame package doesn't support row indices like Pandas does. Row indices are especially useful time series data, and there's another package called TimeSeries that support a dataframe-like type called a TimeArray that supports dates as row indices. TimeArray is like a DataFrame, but with a lot less features. You can't really do that much with them, and they only have limited support in an auxiliary package for resampling. It would be nice if a new DataFrame library could be created that was inspired by Pandas. In general, I think Julia suffers from the problem of too many small packages. For example, there's 3 libraries I have to use for time series: TimeSeries.jl, TimeSeries Resample.jl,and TimeSeriesIO.jl. None of the libraries are particularly large and should all be merged into one package. Part of the reason for the dirth of small packages is because, unlike Python, Julia's strong support for function polymorphism allows for seamless extension of existing functionality with new packages. Unfortunately, I think this has created a cultural problem in which new packages are created that only slightly modify existing functionality.