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Jan 14, 2017 at 18:20
What can we learn from our GitHub stars? https://www.cockroachlabs.com/blog/what-can-we-learn-from-our-github-stars/ (great quantitative analysis of GitHub star effects)
Stargazers: A tool for analyzing your GitHub stars
Stargazers: A tool for analyzing your GitHub stars
GitHub stars are a simple way for GitHub users to bookmark repos that interest them. "Stargazers" is a tool to query GitHub for information about the stars.

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Sep 5, 2021 at 18:53
Adding a new language to difftastic is straightforward, but it requires some configuration and testing. I just started with languages I've recently used. I'm trying to be more quantitative and use GitHub data: https://madnight.github.io/githut/ What languages would you like to see?
GitHub Language Stats
This website shows the popularity of programming languages on GitHub over time.
Apr 11, 2019 at 19:45
A quantitative defence of free/libre software:
Why Open Source Software / Free Software (OSS/FS, FOSS, or FLOSS)? Look at the Numbers!
This paper provides quantitative data that, in many cases, open source software / free software is equal to or superior to their proprietary competition. The paper examines market share, reliability, performance, scalability, scaleability, security, and total cost of ownership; it also comments on non-quantitative issues and unnecessary fears.
Jan 18, 2019 at 22:23
Being able to choose your target browsers in Babel is a little like -march in a native code compiler! Browser targeting has the nice property that you can collect popularity metrics to make quantitative decisions too.