The Most Popular Programming Languages in GitHub Since 2012

This infographic is pretty poorly designed. There are some icons that I don't recognize (like the 1993 circle+R and the 2005 flask). Google told me the (R) icon is actually the R language. Still don't know what the flask is.

Whoever made this, please take the criticism constructively. It was good information ( thank you for posting it ), but should have been presented better.<p>Using light blue, blue, grey blue and slightly lighter blue was not good design. I do understand it would be hard to use clearly defined colours with so many languages. My suggestion:<p>This would have been better presented if the user could select a language&#x27;s icon and see its&#x27; data highlighted.<p>( I know you can&#x27;t do that simply with an infographic - you&#x27;d need to create transparent overlays, or something. )

I&#x27;m not sure why Puppet is on this list. It is not a generic language, it is meant for configuring and controlling large clusters of servers.

It would be great if this were normalized by GitHub&#x27;s overall traffic. It&#x27;s tough to tell what has grown relative to what when everything appears to have grown.

Thanks for some fun data! Two quick things, if you don&#x27;t mind.<p>Something feels wrong with the data. For example. Q3&#x2F;12 has abnormal amount of Pushes for all languages. Curious what causes the jump?<p>As someone who is color-blind, I really prefer people to combine symbols with color. Like you did with the active repos, except use the symbol in the key as well. That way if a color is close, I can check my guess against the symbol. Thanks!

&gt; We looked at:<p>&gt; The number of active repositories, a useful proxy for the projects that people are working on right now.<p>This is better than looking at <i>all</i> of them like many of these stats do because it eliminates has-been languages.<p>&gt; The total number of pushes per language as well as the average number of pushes per repository. These metrics are indicators of the rate of innovation occurring with projects being written in a particular language.<p>This is skewed towards developers who push small changes often, and even includes code shufflers, and ignores projects where the developer commits large samples at a time.<p>&gt; New forks and open issues per repository, which also show active use and innovation.<p>Well written code has few issues raised.<p>&gt; New watchers per repository, an indicator of developer interest.<p>This can be cheated by language promoters who run campaigns on twitter to double the Github watchers within a week. This stuff happens.

1995 was an interesting year for programming languages. I guess it makes sense since the web was just exploding.

Needs a legend; I&#x27;m not sure what a few of the little icons represent.

Interesting that R looks late to the party with the highest growth rate over this period - I find it doubtful that R has grown so much in that time, but I guess instead that academic coders have started to use Github.<p>Does this suggest that R usage is greatly underestimated, generally, then?<p>Also why did all of Perl get pushed in Q3&#x2F;12? And every language got a significant peak that quarter? Is that a data error?

based on my experience with language detection on my own repos i&#x27;m very skeptical of this kind of statistics. for example, i know i don&#x27;t know any perl6, yet github thinks (and claims) otherwise.

The icons are totally not the ones that are official, very poor design.

anyone have any insight into the perl anomaly in q3 of 2012? What was released then? Or, perhaps, what perl program really sucked at around that time?

C++ comes up pretty well there...