Notable exceptions are R, Julia, MATLAB, Mathematica, etc. Namely, environments/languages which focus on numerical and scientific computing applications. One of the project's goals is to provide similar functionality on the web and in Node.js as those environments. Accordingly, in order to realize that goal, one needs to offer quality ("standard") implementations for doing mathematical operations (see https://github.com/stdlib-js/stdlib/tree/develop/lib/node_mo...).

Aside: calling the library "essentially a statistics toolkit" is a mischaracterization given that the bulk of available functionality is not statistics. For example, lodash/async style utilities (https://github.com/stdlib-js/stdlib/tree/develop/lib/node_mo...), iterator utilities (https://github.com/stdlib-js/stdlib/tree/develop/lib/node_mo...), assertion utilities (https://github.com/stdlib-js/stdlib/tree/develop/lib/node_mo...), benchmark framework (https://github.com/stdlib-js/stdlib/tree/develop/lib/node_mo...), etc. While certainly a WIP, might prove informative to peruse: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_mo....