That’s exactly the plan — the goal is to build an internal data infrastructure, tentatively called PanelData, that’s lightweight and efficient while still supporting all widely used Julia tabular formats at the user level.
By keeping the internals minimal but exposing a Tables.jl-compatible interface, we can ensure Durbyn remains performant and scalable while integrating smoothly with the broader Julia data ecosystem – all without introducing unnecessary dependencies.