JuliaDB is a library for tabular data manipulation (either in memory or out of core) that is recently becoming more and more popular. To simplify the JuliaDB user experience , I have designed the metaprogramming based package JuliaDBMeta . JuliaDBMeta, starting from a user provided expression with symbols corresponding to fields, detects which columns of the dataset will be used and what anonymous function will be applied to them, then proceeds to iterate data only from the relevant columns and compute the relevant transformation. All operations can be concatenated and can then be piped in a plotting command using StatPlots. To maximally simplify the user experience, we try to support both grouped data and out of core data as much as possible out of the box. All column based macros have an optional grouping argument, whereas all row-based macros work out-of-core out of the box. Furthermore special macros are provided to apply a pipeline separately on each processor (or on each group) and then join the results together.For users preferring a more graphical environment, the packages InteractBase and TableWidgets allow to define, select and compose data manipulations and visualizations interactively in a web-based UI with immediate visual feedback.
