What you are saying is a worthy fault for a front end library, but it’s kind of funny that no one thinks this way when it’s the backend. To do a simple k-mean

What you are saying is a worthy fault for a front end library, but it’s kind of funny that no one thinks this way when it’s the backend. To do a simple k-means clustering on a textual corpus, someone might pull in all of scipy and ntlk which is tens of thousands of lines of code. I think programmers don’t generally consider dependency size unless it’s on the order of multiple gigabytes.