dplyr is an R package whose set of functions are designed to enable dataframe (a spreadsheet-like data structure) manipulation in an intuitive, user-friendly way. It is one of the core packages of the popular tidyverse set of packages in the R programming language. Data analysts typically use dplyr in order to transform existing datasets into a format better suited for some particular type of analysis, or data visualization.

For instance, someone seeking to analyze a large dataset may wish to only view a smaller subset of the data. Alternatively, a user may wish to rearrange the data in order to see the rows ranked by some numerical value, or even based on a combination of values from the original dataset. Functions within the dplyr package will allow a user to perform such tasks.

dplyr was launched in 2014. On the dplyr web page, the package is described as "a grammar of data manipulation, providing a consistent set of verbs that help you solve the most common data manipulation challenges."

While dplyr actually includes several dozen functions that enable various forms of data manipulation, the package features five primary verbs or actions:

In addition to its five main verbs, dplyr also includes several other functions that enable exploration and manipulation of dataframes. Included among these are:

The dplyr package comes with five datasets. These are: band_instruments, band_instruments2, band_members, starwars, storms.

The copyright to dplyr is held by Posit PBC, formerly RStudio PBC. dplyr was originally released under a GPL license^{[citation needed]}, but in 2022, Posit changed the license terms for the package to the "more permissive" MIT License. The main difference between the two types of license is that the MIT license allows subsequent re-use of code within proprietary software, whereas a GPL license does not.