Mitch has been working on ChartJS and abstracting it to pass in SQL query results...this can work with DoltHub or future databases.
SQL → Django → ChartJS
This will be useful for communicating our status on a public page.
Bounty: key learning is that flat-fee bounties incentivize easily machine-scraped data, and disincentivize manual collection. For the next bounty, we'll do datasets only and see how far we get with manual effort.
App: Stabs made a great utility to create scrapers; we need to get it pointing at the scrapers database and running it in browser. Issue here. Ideally that gets folded into our Django app as well. We can release a local version, too.