Larger-than-RAM Disk-Based Data Manipulation Framework

A disk-based data manipulation tool for working with large-than-RAM datasets. Aims to lower the barrier-to-entry for manipulating large datasets by adhering closely to popular and familiar data manipulation paradigms like 'dplyr' verbs and 'data.table' syntax.


Reference manual

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0.5.0 by Dai ZJ, 5 months ago

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Authors: Dai ZJ [aut, cre] , Jacky Poon [ctb]

Documentation:   PDF Manual  

Task views: High-Performance and Parallel Computing with R

MIT + file LICENSE license

Imports Rcpp, glue, rlang, future.apply, fs, jsonlite, pryr, stringr, fst, globals, future, data.table, crayon, bigreadr, furrr, bit64, benchmarkme

Depends on dplyr, purrr

Suggests testthat, nycflights13, magrittr, shiny, LaF, readr, rstudioapi, biglm, biglmm, speedglm, broom, ggplot2, covr

Linking to Rcpp

Imported by rsqliteadmin.

Suggested by drake.

See at CRAN