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For comparison, after eliminating projects with 3 or fewer watchers and duplicate projects, my language breakdown looks like this: Ruby 35.3% Python 11.5%

by cortesi 17y ago

For comparison, after eliminating projects with 3 or fewer watchers and duplicate projects, my language breakdown looks like this: Ruby 35.3% Python 11.5% Javscript 9.4% PHP 7.6% C 5.4% None 5.3% Java 5.3% C++ 4.0% Objective C 3.8% Perl 3.6% C# 1.7% Erlang 1.4% ActionScript 1.3% Scala 1.0% Lua 0.9% Clojure 0.7% Lisp 0.6% Haskell 0.5% Go 0.5% Objective J 0.3% Pretty close to the overall estimate by github. Some of the difference can probably be explained by the fact that Github tried to eliminate commonly included libraries when they did their file line counts, while I didn't.

draegtun 17y ago
Ruby & Perl are currently at 21% & 18% respectively on Github, so it bears no resemblance to your figs. I understand what you trying to do by eliminating projects with less than 4 watchers but this is arbitrary figure and the results you produced are therefore affected by this decision. When you play with population samples then side effects can creep in. You can see this in the difference in Ruby being 35.3% in your figs and it being 21% on Github. Its a big difference and can possibly be explained by things like: http://www.ruby-toolbox.com/ http://www.ruby-toolbox.com/