The R programming language for statistical computing has made a notable comeback, now ranking in the top 10 of Tiobe’s monthly index of popular programming languages. In December 2025, R holds the 10th spot with a 1.96% share. While R has previously appeared in the top 10, such as in April and July 2020, it had fallen out of favor in recent years. This resurgence highlights a renewed interest in data science and statistical analysis tools.

Why Is R Gaining Popularity Again?

According to Paul Jansen, CEO of Tiobe, R is especially valued by statisticians and data scientists for its ease of use in data analysis and visualization. As the importance of large-scale data handling grows, R’s capabilities have become more relevant. Its strength lies in rapid experimentation, statistical modeling, and exploratory data analysis, making it a favorite in academic and research settings.

Jansen notes that some traditional software engineers view R less favorably due to its unique syntax and limited scalability for large production systems. However, domain experts continue to rely on R for its elegance and powerful features. The language remains a cornerstone in universities and research-driven industries, fueling its ongoing popularity.

Comparison With Other Indexes and Trends

While Python has overtaken R in overall adoption, R maintains a strong and lasting niche. It excels in areas where quick statistical tests and data visualization are needed. The Tiobe index, which considers factors like skilled engineers, courses, and third-party vendors, shows R climbing back into the top 10. Meanwhile, the Pypl index, which tracks how often tutorials are searched online, ranks R at fifth place with a 5.84% share.

These trends suggest that R’s resurgence is driven by an increased focus on data science and analytics. Although other languages like Python dominate broader programming markets, R’s specialized tools keep it highly relevant among data professionals. The question remains whether R can sustain this momentum amid evolving technology trends.

Overall, R’s return to the top 10 reflects its ongoing importance in statistical analysis, data visualization, and research. Its resurgence underscores the shifting landscape of programming languages, where niche expertise can still shine even as general-purpose languages grow more popular.

Inspired by

• https://www.infoworld.com/article/4102696/r-language-is-making-a-comeback-tiobe.html

Sources

• tiobe.com
• github.io