Clojure Data Cookbook – How to manipulate data, analyze, and visualize tasks (github.com)

A new "Clojure Data Cookbook" is being developed to collect practical recipes for common data science tasks—data manipulation, analysis, and visualization—using Clojure. The project outlines what will be included, documents the scicloj community’s recommended stack, and is structured as a hands‑on reference: code-first recipes you can run in a REPL. To try it locally, start a REPL with the :dev alias and invoke (dev) to get instructions and boot the development experience. This is significant for the AI/ML community because it targets a niche but growing constituency: developers who prefer Clojure’s functional, immutable approach but need pragmatic tooling for data work. The repo emphasizes improving the underlying libraries—there are rough edges to polish—so contributions focus less on prose and more on hardening and enriching the libraries that enable production‑grade data workflows. That makes this project both a teaching resource and a roadmap for maturing Clojure’s data ecosystem; contributors are invited to submit pull requests to expand recipes and smooth interoperability with the scicloj stack.