- By David Ramel
- January 8, 2015
Last year, TIOBE tagged Transact-SQL as the year's top mover, while the PYPL ranked Python as No. 1 in increased popularity percentage. The two indices use different methods to gather their data.
Overall popularity or interest was:
On the PYPL site, meanwhile, owner Pierre Carbonnelle named Apple's brand-new Swift as language of the year based on a 3.9 percent 12-month trend, despite debuting as No. 9 in overall popularity.
The biggest losers on the TIOBE Index were Transact-SQL, which fell 0.68 percent, and Visual Basic .NET, which dropped 0.48 percent.
Here's the latest TIOBE chart of long-term trends:
On the PYPL, the biggest percentage drop came at the expense of PHP, though it held its position as No. 2 overall. Visual Basic suffered the biggest drop, from No. 9 to No. 11.
Here's the latest PYPL chart of long-term trends:
Carbonnelle said a possible interpretation of the latest PYPL data is:
- Which language is taking advantage of PHP's decline? Possibly Objective-C.
- Objective-C was probably miscounted as C in 2009-2011, then took a life of its own.
- C# also had a curious dance with C in that period.
- The growth of C# comes at the expense of C++ and Basic.
- The growth of Python comes at the expense of Perl.
- Ruby and Rails grew quickly, then stabilized.
Because the two organizations use different means to measure popularity, direct comparisons are impossible. Each, however, professes to serve as a guide as to which language to use for a new development project.
For TIOBE, "The ratings are based on the number of skilled engineers worldwide, courses and third-party vendors," the site says. "Popular search engines such as Google, Bing, Yahoo!, Wikipedia, Amazon, YouTube and Baidu are used to calculate the ratings. It is important to note that the TIOBE index is not about the best programming language or the language in which most lines of code have been written.
"The index can be used to check whether your programming skills are still up to date or to make a strategic decision about what programming language should be adopted when starting to build a new software system."
PYPL, meanwhile, says the index "is created by analyzing how often language tutorials are searched on Google: the more a specific language tutorial is searched, the more popular the language is assumed to be. It is a leading indicator. The raw data comes from Google Trends, so that anyone can verify it, or make the analysis for his own country or other languages.
"If you believe in collective wisdom, the PYPL index can help you decide which language to study, or which one to use in a new software project."
David Ramel is an editor and writer for Converge360.