A big use case for python is glue for high performance c/c++ code. How is racket at this? Also, is there a cython alternative for racket? I would also argue that, though racket may have more batteries included, there are definitely not as many externally developed libraries. Especially important are numpy/scipy/pandas/pysam, the list could go on... That's not to say that I'm against racket, I really like the language and its level of design and documentation.

While it's nowhere near as mature as Racket, those interested in this use case might also be interested in Clasp, a Common Lisp implementation built on LLVM specifically to enable the combination of Lisp-style dynamic development approaches with C++ libraries.

https://github.com/clasp-developers/clasp

https://www.youtube.com/watch?v=mbdXeRBbgDM