Work-in-progress: A generic library for determining maximal item exchanges among a group of people based on ranked want lists.
This will take a little time!
Some people love board games. Some of those people have met up to share their games via BoardGameGeek/BGG.
Around 2007, Chris Okasaki implemented a 700-line Trade Maximizer in the Java language, and it was used to maximize the number of trades based on what games/items people have, and which of those items people want.
Around 2018, Jeff Michaud translated that Java library into a 1600-line Javascript version.
This package is an NPM module version for generic use in web applications, such as for neighbors sharing common items (see nextjs-potluck by Kevin Nguyen).
This project was started by typing npm create svelte@latest using the "Skeleton Library" project preset, and built into an npm package by running svelte-package.