TL;DR: I've built hacktoberfest.cube.dev. Have a look, it's fascinating.
Hey devs! ๐
I guess that you should've definitely heard about Hacktoberfest 2020 even if you didn't have a chance to participate in it. Indeed, this year was quite special. Oh, wait, who said Spamtoberfest? ๐
Lots of people joined Hacktoberfest to make positive contributions to open source (or just get a T-shirt ๐คท), so organizers needed to introduce additional rules along the way to fight against spammy pull requests.
So I thought it's a good excuse to tinker with Hacktoberfest data and build yet another interactive analytical website. Especially because I'm quite familiar with Cube.js, an open source tool which makes building such apps a breeze.
Here comes hacktoberfest.cube.dev:
Have a look and you'll know:
- how many pull requests were submitted in total (a lot, but less than in 2019)
- what's the 3rd most popular programming language (okay, it's actually a markup language)
- how many commits a single pull request contained, on average (though it's rumored that most of them were punctuation fixes)
- and much more.
And that's not all ๐โโ๏ธ
I'm going to write a series of posts and tell how to build such an analytical website from scratch. Here're the topics I'm going to cover:
- how to collect data via GitHub API
- how to transform JSON records into an SQL storage with Amazon Athena
- how to spin up an analytical backend and explore the data with Cube.js
- how to build a frontend for an analytical app with React
So, if you're interested in these topics, make sure to follow me and leave a comment about the details you want me to cover and your previous experience with analytical apps, if any.
Top comments (1)
Great job!๐