miniblog.

← Back to all posts
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.

Related Posts

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.
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.
Mar 1, 2018 at 22:47
Great, readable paper by Romain Robbes and Michele Lanza: Improving Code Completion with Program History It's a quantitative analysis of code completion tools, covering both static and dynamically typed languages!
Photo
X / ?