Prerequisite visualization of courses at the University of California, Santa Barbara. This project was originally begun by Nate Annau and Ashwin Rajan as part of Coders SB, but it's now open source.

All data for this project is fetched via ./scraper, which uses regex to parse through the old UCSB course catalog. The scraper grabs data from course pages, major sheet pdfs, and the UCSB API. It should take a few minutes to generate all the necessary data.

Course data is then saved locally as JSON, which is read by the Vue webapp located in ./src. Nodes are organized in a hierarchical structure using the constraint based optimization library WebCola.

Other core libraries used are beautifulsoup, pypdf, d3.js, Vite, and Quasar. I'm using pytest and jest to unittest.

I am happy to consider PRs on this project. If you would like to contact me, either email me or DM robert_gamer on Discord.

I wrote the shell scripts to help with this but I don't know how useful they will be. In zsh or bash you should be able to run

% source install_project.sh

to pick up dependencies, then

% python scraper

to generate the data. When that's finished, use

$ npm run dev

to work on the site.