Use Foreach to Parallelize via the Future Framework R package doFuture version 1.3.0 CRAN Task View: HighPerformanceComputing (https://CRAN.R-project.org/view=HighPerformanceComputing) The 'future' package provides a unifying parallelization framework for R that supports many parallel and distributed backends <doi:10.32614/RJ-2021-048>. The 'foreach' package provides a powerful API for iterating over an R expression in parallel. The 'doFuture' package brings the best of the two together. There are three ways to use this package. The recommended approach is to use 'y <- foreach(...) %do% { ... } |> futurize()' via the 'futurize' package (<doi:10.48550/arXiv.2601.17578>). The second alternative, which was formerly recommended, is to use 'y <- foreach(...) %dofuture% { ... }', which does not require using 'registerDoFuture()' and has many advantages over '%dopar%'. The third alternative is the traditional 'foreach' approach by registering the 'foreach' adapter 'registerDoFuture()' and so that 'y <- foreach(...) %dopar% { ... }' parallelizes with the 'future' framework. Software Depends: foreach (>= 1.5.0), future (>= 1.49.0) Imports: future.apply, globals, iterators, parallel, utils Suggests: doRNG (>= 1.8.2), markdown, R.rsp Henrik Bengtsson <henrikb@braju.com> Comprehensive R Archive Network (CRAN) Henrik Bengtsson [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-7579-5165>) Apache License (>= 2) 2026-08-03 application/tgz https://CRAN.R-project.org/package=doFuture doi:10.32614/CRAN.package.doFuture en-US