Rdatatable/data.table

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

3913 stars · 1051 forks observed · 2026-08-28

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

data.table is an R package providing a high-performance, memory-efficient replacement for base R's data.frame with a concise indexing syntax. It includes fast file reading/writing (fread/fwrite), parallelized aggregation, rich joins, and reference-based column updates.

Use cases

• fast csv reading in r
• aggregate billions of rows quickly
• join two large tables in r
• pivot and unpivot data
• update columns by reference without copying
• replace dplyr for speed on large data

When to choose

• working with large datasets in R where base data.frame or dplyr is too slow or memory hungry
• you need fast delimited file I/O, joins, or reshaping
• you want a dependency-free, mature package for production R code

When to avoid

• you are not working in R
• your team prefers dplyr/tidyverse pipe syntax and readability over raw speed
• data does not fit in memory and you need out-of-core or distributed processing

Facets

library · maturity stable

data-science etl csv serialization data-science analytics big-data cross-platform r-package dataframe fast-csv in-memory-data joins reshaping data-engineering r

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