Written inPython, Cython
Is this accurate? I don't have a lot of firsthand experience with data science stuff, but usually when looking just past surface-level you find that some Python package is really a shell around some native binary core implemented in e.g. C (or Fortran?).
When I at the repos for spaCy and its assistant Thinc, GitHub's language analysis shows that it's pretty much Python. Is there something lurking in the shadows that I'm not seeing? Or does this mean that if someone cloned spaCy and Thinc and wrote it in JS, then the subset of data scientists whose work can be done with those two packages (and whatever datavis generators they use) will benefit from the faster runtime and the the elimination of figging and other setup?