Simple, fast, column-based storage for data analysis in Julia.


TypedTables.jl provides two column-based storage containers: Table and FlexTable, both of which represent an array of NamedTuples. This package is designed to be lightweight, easy-to-use and fast, and presents a very minimal new interface to learn.

Data manipulation is possible throught the tools built into Julia (such as map, filter, and reduce) and those provide by SplitApplyCombine.jl (like group and innerjoin). You can speed up data analysis tasks with acceleration indices, by using the AcceleratedArrays.jl package. This package is integrated the Tables.jl interface, and therefore the rest of the data ecosystem such as Query.jl. This documentation includes examples on how to integrate with these packages for a complete data analysis workflow.


Start Julia 1.0, and press ] to enter "package" mode. Then type:

pkg> add TypedTables

That's it!

Quick start

Here's a table:

julia> using TypedTables

julia> t = Table(a = [1, 2, 3], b = [2.0, 4.0, 6.0])
Table with 2 columns and 3 rows:
     a  b
 1 │ 1  2.0
 2 │ 2  4.0
 3 │ 3  6.0

Now you can read the tutorial to find out what to do with it.