geom VS itypescript

On the flip side, I got to read some of the Clojure source code, which was very educational. I also got to understand a bit more the usefulness of protocols (using defprotocol and defrecord to provide several implementations). Here it was very useful to read the source code of thi-ng/geom.

This would make sense if Knuth used literate programming primarily for academic papers. But in fact he created WEB for writing TeX and METAFONT, both of which (while their source code was published as a book later) were production systems, and in fact for several decades now he uses CWEB for all programs he writes, including several a week that he writes for himself. (Some of which are online at https://cs.stanford.edu/~knuth/programs.html .) In contrast, apart from the paper he wrote introducing LP, and the two Bentley columns about LP in CACM, I'm not aware of any other academic paper of his that presents programs — at any rate, the total number must be very small.

The goal is not an "academic paper"; his experience (and that of others who have seriously tried LP) is that it helps with actual writing of programs, less time spent debugging, etc.

Yes, there are challenges with two or more programmers, but nothing unsurmountable. See "Literate Programming on a Team Project" (https://www.cs.princeton.edu/techreports/1991/302.pdf coauthored by Norman Ramsey, who later developed noweb) and some stories like https://news.ycombinator.com/item?id=17484452 (and https://github.com/thi-ng/geom which went from LP to conventional).

how about https://github.com/winnekes/itypescript

(also obserablejs) for a different take on it.

I have a feeling notebooks are not as popular for javascript since it's quite limiting relative to what a code sandbox can do.

Try using this typescript kernel: https://github.com/winnekes/itypescript (I haven't tried it personally). But basically you just run the server and connect it to a regular Jupyter Notebook

At my previous job, I wanted a way to create a living handbook for new interns to quickly test and learn new things. I found ITypeScript, a kernel for Jupyter Notebook, and played around with it. I was happy that it worked right out of the box.