[2] Characteristic features of tidyverse packages include extensive use of non-standard evaluation and encouraging piping.

[11] Its syntax has been referred to as "supremely readable",[12] and some[13] have argued that tidyverse is an effective way to introduce complete beginners to programming, as pedagogically it allows students to quickly begin doing data processing tasks.

[17] Critics of the tidyverse have argued it promotes tools that are harder to teach and learn than their built-in, base R equivalents and are too dissimilar to some programming languages.

[20] An example of such a tidyverse principled approach is the pharmaverse, which is a collection of R packages for clinical reporting usage in pharma.

[23] Other packages based on the tidy data principles are regularly developed, such as tidytext[24] for text analysis, tidymodels[25] for machine learning, or tidyquant[26] for financial operations.