Language statistics from open source projects

I think the numbers given are the all time stats; they are used for sorting. The graphs are of recent activity, and clicking on one takes you to a tool where you can compare languages of your choice by the number of active contributors, recent commits, lines of code changed or active projects.

This site is my preferred source on programming language trends. I think true popularity manifests as willingness to contribute in the language, so I compare the big 6 (C, C++, Java, JavaScript, Python and shell script) by the number of active contributors. Contrast it with the oft cited TIOBE index that literally measures noise.