tidyverse/dplyr

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

5062 stars · 2115 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

dplyr is an R package providing a consistent grammar of data manipulation with verbs like mutate(), select(), filter(), summarise(), and arrange() for transforming data frames and tibbles. It supports pluggable backends (Arrow, databases via dbplyr, data.table, DuckDB, Spark) so the same code scales from in-memory data to large datasets.

Use cases

• filter and summarize rows in an R data frame
• add new computed columns to a dataset
• group data and compute per-group summaries
• join and combine two tables in R
• run the same data transformation code against a SQL database or Spark
• clean and reshape a dataset for analysis

When to choose

• you work in R and want readable, pipe-friendly data manipulation
• you need consistent verbs across data frames, databases, Arrow, and Spark
• you are following tidyverse conventions or R for Data Science workflows

When to avoid

• you work outside R
• you need raw maximum performance and prefer writing data.table or SQL directly
• you need non-tabular data structures like graphs or unstructured text

Facets

library · maturity stable

data-science etl developer-tools data-science analytics data-manipulation tidyverse data-frames grammar-of-data r-package data-engineering r

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