I'd also want to know community activity and support. This is a handy chart for getting a sense of that. The entire chart? Wouldn't the first column be suffici

I'd also want to know community activity and support. This is a handy chart for getting a sense of that. The entire chart? Wouldn't the first column be sufficient? Number of repositories gives you some idea about language popularity. Well, kind of: there's bias of hype here. Obviously choices behind open-sourced projects on GitHub aren't representative for the industry. It's the software's world avant-garde, if anything. And even so, that's just one parameter out of five, and it can be very well be considered in isolation from all the rest. I wouldn't make business decisions based, for instance, on the average number of open issues. Because it's an outcome of many different variables. So how would you know what it means? Is high good? Is high bad? Interrelations between data - shown by this clever chart - are even more mysterious. TeX has a very high number of pushes per repository (second best), while there's fairly few repositories, and they are rarely forked. At the same time R has low number of pushes (second lowest of all), whereas it wins in the "new forks per repository" category (#1). What do you make of that, businesswise?