Python Stays #1, R Rises in Popularity, Says TIOBE

Are statistical programmers coalescing around a handful of popular languages? That’s the question asked by the CEO of software assessment site TIOBE, which every month estimates the popularity of programming languages based on their frequency in search results:

This month, the programming language R matched its all-time high by reaching position #8 in the TIOBE index once again. This is not a coincidence. The statistical programming language market is clearly undergoing a major consolidation. The biggest winners are Python and R, while many long-established alternatives continue to lose momentum. The era in which the statistical computing landscape was fragmented across many niche languages and platforms appears to be coming to an end.

Several established players are steadily declining:

— MATLAB is close to dropping out of the TIOBE top 20.

— SAS is about to leave the top 30 for the first time since the TIOBE index began.

— Wolfram/Mathematica remains well below its historical peak and is losing further ground.

— SPSS dropped out of the top 100 last month….

Elsewhere in the index, Java and C++ swapped positions this month. Java gained momentum following the successful release of Java 26. Another notable riser is Zig, which is approaching the TIOBE top 30 for the first time. Zig’s growing popularity appears to be driven by its rare combination of low-level performance, straightforward tooling, and relative ease of use compared to traditional systems programming languages.
Their estimate for the most popular programming languages in May:

1. Python
2. C
3. Java
4. C++
5. C#
6. JavaScript
7. Visual Basic
8. R
9. SQL
10. Delphi/Object Pascal

The five next most popular languages on their rankings are Fortran, Scratch, Perl, PHP, and then Rust at #15. Rust is up for positions from May of 2025 — while Go has dropped to #16, seven ranks lower than its May 2025 position of #7.