Adam's Blogroll: click through to the author's blog
Most people are familiar with the file-and-folder view. Sort alphabetically, date, or file type, and scroll up and down. This works well when you know what you’re looking for, but sometimes you could use a quick overview of what a codebase looks like. Amelia Wattenberger for GitHub used packed circles.
The fun part is towards the end where you can enter any repo to see what it looks like.
Tags: Amelia Wattenberger, code, GitHub
Posted by in Amelia Wattenberger, code, GitHub, Statistical Visualization
A quick annotation by Jonnie Hallman on Twitter: “GitHub is really good at visualizing burnout.”
Tags: annotation, burnout, GitHub
Posted by in annotation, burnout, GitHub, Self-surveillance
Jen Luker noted, “As amazing as @github is, it is a tool designed to track code, not people. I’m sharing my annotated GitHub history to show you what it can’t tell you about a developer.”
As amazing as @github is, it is a tool designed to track code, not people. I'm sharing my annotated GitHub history to show you what it can't tell you about a developer. pic.twitter.com/b94kYqQHaZ
— Jen Luker (@knitcodemonkey) April 25, 2019
Data as footprints? Footprints can tell you where someone went, but you have to evaluate surroundings to figure out what he or she did along the way. And there’s a lot that can happen between when the footprints set and when you find them.
Tags: annotation, context, GitHub
Posted by in annotation, context, GitHub, Self-surveillance
Taking a step beyond 2-D glyphs, Codeology depicts GitHub user activity based on what they have contributed as 3-D objects made of ASCII characters.
The application pulls data from GitHub's public API and creates visuals using WebGL, Three.js, and GLSL Shaders. Shape and color represent an individual language, with size being proportionate to how many characters of code were written.
I don't know if it was intentional, but every visual looks like a microorganism. Pretty cool. [via Waxy]
Taking a step beyond 2-D glyphs, Codeology depicts GitHub user activity based on what they have contributed as 3-D objects made of ASCII characters.
The application pulls data from GitHub's public API and creates visuals using WebGL, Three.js, and GLSL Shaders. Shape and color represent an individual language, with size being proportionate to how many characters of code were written.
I don't know if it was intentional, but every visual looks like a microorganism. Pretty cool. [via Waxy]