R is Number 4 on PYPL PopularitY of Programming Language
R remains my favorite program language. It also is a favorite of many programmers, especially in the data-analysis and processing and academia. It remains a highly popular programming language for data science, statistics, and visualization, experiencing a resurgence in 2025 by returning to the TIOBE index top 10. It also is number four now on PYPL. It thrives in academia and research-driven industries, with strong adoption in bioinformatics, finance, and data analytics, despite facing competition from Python.
PyPL March 2026
| Rank | Change | Language | Share | 1-year trend |
|---|---|---|---|---|
| 1 | Python | 34.87 % | +4.4 % | |
| 2 |  | C/C++ | 13.66 % | +6.6 % |
| 3 |  | Java | 9.82 % | -5.4 % |
| 4 | | R | 6.49 % | +1.9 % |
| 5 | | JavaScript | 4.9 % | -3.2 % |
| 6 | | Swift | 3.5 % | +1.1 % |
| 7 | | Rust | 3.08 % | -0.0 % |
| 8 | | C# | 3.03 % | -3.1 % |
| 9 | | PHP | 2.9 % | -0.8 % |
| 10 | | Ada | 2.66 % | +1.3 % |
TIOBE Index March 2026
| Mar 2026 | Mar 2025 | Change | Programming Language | Ratings | Change | |
|---|---|---|---|---|---|---|
| 1 | 1 |  | Python | 21.25% | -2.59% | |
| 2 | 4 |  |  | C | 11.55% | +2.02% |
| 3 | 2 |  |  | C++ | 8.18% | -2.90% |
| 4 | 3 | |  | Java | 7.99% | -2.37% |
| 5 | 5 |  | C# | 6.36% | +1.49% | |
| 6 | 6 |  | JavaScript | 3.45% | -0.01% | |
| 7 | 9 | |  | Visual Basic | 2.50% | -0.02% |
| 8 | 8 |  | SQL | 2.00% | -0.57% | |
| 9 | 16 |  |  | R | 1.88% | +0.94% |
| 10 | 10 |  | Delphi/Object Pascal | 1.80% | -0.36% | |
Key Popularity Trends (2025-2026):
- Rankings: As of late 2025, R has returned to the top 10 in the TIOBE Index, which measures popularity based on search engine results.
- Use Cases: R is widely considered a leading language for advanced statistical analysis, data visualization, and research, often favored for its specialized, comprehensive packages (e.g., Tidyverse, Shiny).
- Industry Niche: It is highly popular in data-intensive fields like bioinformatics, genomics, and financial technology (FinTech) for risk management.
- Vs. Python: While Python is generally more popular for large-scale production, R is often preferred for exploratory data analysis (EDA) and rapid, specialized analysis.
- Community: R has a strong, dedicated user base in academia, though it is sometimes criticized by traditional software engineers for limited scalability.
R’s resurgence suggests it remains an indispensable, powerful tool for domain experts in data-driven fields.
