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I have taken the time in between caring for my young son to write a new library that provides higher performance datastructures and algorithms for Clojure.
After building tech.ml.dataset and charred I wanted to take the lessons learned there and apply them back into the base Clojure substrate of persistent maps, persistent vectors, and algorithmic primitives like group-by and frequencies.
After building tech.ml.dataset and charred I wanted to take the lessons learned there and apply them back into the base Clojure substrate of persistent maps, persistent vectors, and algorithmic primitives like group-by and frequencies.
There are many more things there but you can read the README for more information. There is timing information at the bottom of the README and the fast-json project includes a comparison. My hope is that ham-fisted becomes a platform to try out ideas and build faster datastructures and algorithms that follow in the typeless functional pathway so we can carefully and measurably improve the platform we all are standing on. So please take it, try some things out, and let me know how it goes :-).