jelm VS woo

I have a bunch of links to ML material for either APL or J. I don't know of any particular library for J. J is interpreted, so it is not as fast as other implementations. I am mainly using it to experiment on concepts and teach myself more ML in J because of the iterative nature of the REPL, and the succinct code. I can keep what's going on in my head, and glance at less than 100 lines, usually 15 lines, of code to refresh it.

There is a series of videos of learning neural networks in APL cited by others here on this thread.

Pandas author, Wes McKinney, cited J as an influence in his work on Pandas.

Extreme Learning Machine in J (code and PDF are here too):

https://github.com/peportier/jelm

Convolutional neural networks in APL (PDF and video on page):

https://dl.acm.org/doi/10.1145/3315454.3329960

A DSL to implement MENACE (Matchbox Educable Noughts And Crosses Engine) in APL (Noughts and Crosses or Tic-tac-toe):

https://romilly.github.io/o-x-o/an-introduction.html

Can I ask you this though? Again, all I have in my file is what's under the "Start a server" section of the woo readme.

For example, let's look at this project: https://github.com/fukamachi/woo

One of the nice things about Common Lisp is that it also has the fastest web server: https://github.com/fukamachi/woo

Here you have a web server written in Chez Scheme: https://github.com/guenchi/Igropyr So you see that Lisp is very suitable for web applications. Another project that proves that Lisp is excellent for web servers is Woo: https://github.com/fukamachi/woo

I remember a long time ago when I checked out woo https://github.com/fukamachi/woo it still had the same warning "This software is still BETA quality." Is that really still the case? As of now, I'm seeing the last update was only 4 days ago, so it looks like it's been worked on relatively actively this whole time.