Continuing from last related post about this,
read a dr. dobbs article (kind of happy that this publication still exists.. it was the publication we were respecting the most with my friends as we were getting into the PC world back in college (83-88) )
Dr Dobbs post :
Language surveys mentioned :
ohloh
tiobe
I would add to these the
hacker news poll
github stats (can't find historical version of this)
Finally regarding google trends as a metric for judging the reach of a language.
Google trends is good to assess whether a language is picking up or is in decline.
It is harder to use as a comparative metric... many language have less unique terms than others and adding keywords eg. programming next to them makes the comparison less apples to apples (nodejs programming vs java programming vs ...)
I was discussing this again with sk and I wanted to make the argument that there is a trend towards a single language across all layers ... (js front end, back end nodejs, db mongodb)
anyway using github.com/language page from the archive.org
here are the data (the data show that they can't be too relied upon, viml made it in the top10 a couple years ago... and the swings are too massive => they must be looking at file-commits/short terms instead of something more reliable...)
2009
Language Name Percentage
Ruby 30%
JavaScript 18%
Python 9%
Shell 7%
Perl 6%
C 6%
PHP 5%
Java 4%
C++ 4%
Objective-C 2%
20010
Ruby 19%
JavaScript 16%
Perl 12%
Python 9%
Shell 7%
PHP 7%
C 6%
Java 5%
C++ 4%
Objective-C 2%
2011
JavaScript 19%
Ruby 17%
Python 9%
C 8%
PHP 7%
Shell 7%
Perl 7%
Java 7%
C++ 4%
VimL 2%
2013
JavaScript 21%
Ruby 12%
Java 8%
Shell 8%
Python 8%
PHP 7%
C 6%
C++ 5%
Perl 4%
CoffeeScript 3%
read a dr. dobbs article (kind of happy that this publication still exists.. it was the publication we were respecting the most with my friends as we were getting into the PC world back in college (83-88) )
Dr Dobbs post :
Language surveys mentioned :
ohloh
tiobe
I would add to these the
hacker news poll
github stats (can't find historical version of this)
Finally regarding google trends as a metric for judging the reach of a language.
Google trends is good to assess whether a language is picking up or is in decline.
It is harder to use as a comparative metric... many language have less unique terms than others and adding keywords eg. programming next to them makes the comparison less apples to apples (nodejs programming vs java programming vs ...)
I was discussing this again with sk and I wanted to make the argument that there is a trend towards a single language across all layers ... (js front end, back end nodejs, db mongodb)
anyway using github.com/language page from the archive.org
here are the data (the data show that they can't be too relied upon, viml made it in the top10 a couple years ago... and the swings are too massive => they must be looking at file-commits/short terms instead of something more reliable...)
2009
Language Name Percentage
Ruby 30%
JavaScript 18%
Python 9%
Shell 7%
Perl 6%
C 6%
PHP 5%
Java 4%
C++ 4%
Objective-C 2%
20010
Ruby 19%
JavaScript 16%
Perl 12%
Python 9%
Shell 7%
PHP 7%
C 6%
Java 5%
C++ 4%
Objective-C 2%
2011
JavaScript 19%
Ruby 17%
Python 9%
C 8%
PHP 7%
Shell 7%
Perl 7%
Java 7%
C++ 4%
VimL 2%
2013
JavaScript 21%
Ruby 12%
Java 8%
Shell 8%
Python 8%
PHP 7%
C 6%
C++ 5%
Perl 4%
CoffeeScript 3%