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futurize  

Parallelize Common Functions via One Magic Function
View on CRAN: Click here


Download and install futurize package within the R console
Install from CRAN:
install.packages("futurize")

Install from Github:
library("remotes")
install_github("cran/futurize")

Install by package version:
library("remotes")
install_version("futurize", "0.1.0")



Attach the package and use:
library("futurize")
Maintained by
Henrik Bengtsson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-22
Latest Update: 2026-01-22
Description:
The futurize() function transpiles calls to sequential map-reduce functions such as base::lapply(), purrr::map(), 'foreach::foreach() %do% { ... }' into concurrent alternatives, providing you with a simple, straightforward path to scalable parallel computing via the 'future' ecosystem <doi:10.32614/RJ-2021-048>. By combining this function with R's native pipe operator, you have an convenient way for speeding up iterative computations with minimal refactoring, e.g. 'lapply(xs, fcn) |> futurize()', 'purrr::map(xs, fcn) |> futurize()', and 'foreach::foreach(x = xs) %do% { fcn(x) } |> futurize()'. Other map-reduce packages that be "futurized" are 'BiocParallel', 'plyr', 'crossmap' packages. There is also support for growing set of domain-specific packages, including 'boot', 'glmnet', 'mgcv', 'lme4', and 'tm'.
How to cite:
Henrik Bengtsson (2026). futurize: Parallelize Common Functions via One Magic Function. R package version 0.1.0, https://cran.r-project.org/web/packages/futurize. Accessed 13 Mar. 2026.
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