tech.ml.dataset

I don't do "true" data science, so my voice of "expertise" in the matter is limited. This is the extent of what I've heard. In my opinion, neither of the clauses in your statement are true. Clojure is very well suited for data science of all shapes and sizes. There's a great meetup lead by Daniel Slutsky where they regularly discuss this topic, and there's #data-science channel in Clojurians Slack where they regularly post interesting findings. As for the libraries, anything used in Java/Javascript can be directly used. Besides, there is TMD, https://github.com/techascent/tech.ml.dataset - it's a well-regarded lib and provides solid functionality for data manipulation.

Clojure (either native JVM or Babashka) Once you've got a repl up and running the JVM launch time isn't an issue and repl driven development lends itself well to data munging/exploration Clojure's data centricity (functional, everything's a sequence, strong data manipulation std lib) really makes it a dream for these quick and dirty data transformation/exploration jobs If you want to get fancy, https://github.com/nextjournal/clerk (notebook interface) and https://github.com/techascent/tech.ml.dataset (data frame library) will get you there