@Vindaar ggplotnim is a very nice library! > Is this compatible with other libraries, such as arraymancer, etc? I think > that one of the biggest strengths of the python numerical ecosystem is the > good inter-operability of most plotting libraries with numpy. So if that is > not already the case I would suggest making that your highest priority.
I second that and using a common DataFrame. numpy is the foundation of Python data libraries with pandas but we haven't such a recognized data foundation with nim. Having a coordinated effort would benefit many scientific nim projects. See the [Data Science](https://github.com/nim-lang/Nim/wiki/Curated-Packages) section for other DataFrame libraries.
