An Interruptible Progress Bar with OpenMP Support for C++ in R Packages

Allows to display a progress bar in the R console for long running computations taking place in c++ code, and support for interrupting those computations even in multithreaded code, typically using OpenMP.

Build Status codecov CRAN_Status_Badge

a R package that provides a c++ interruptible progress bar with OpenMP support for c++ code in R packages


see a detailed example on Rcpp Gallery:

How to build


  • OpenMP support to use the multithreaded parallelized version. OpenMP is available in GCC >= 4.2

Just install it the usual way.

If you want more control, unarchive it, cd to the source directory, then type R CMD INSTALL . in the console.


Send me a pull request with at least one test or example

For developers

tests and check

If you have all the RcppProgress dependencies (and suggests) installed:


  • make tests: to run the tests
  • make check: to check the package


A Dockerfile (<docker_checker/Dockerfile>) is provided to help building the dev environment (built on rocker/r-devel) in which to develop and test RcppProgress.


  • make docker/build: to build the docker
  • make docker/run: to run a shell in the docker with the current dir mounted inside
  • make docker/check: to check the package inside the docker
  • make docker/tests: to run test tests of the package inside the docker

test on windows using rhub

make docker/run
make check_rhub_windows


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.4 by Karl Forner, 4 months ago

Report a bug at

Browse source code at

Authors: Karl Forner <[email protected]>

Documentation:   PDF Manual  

GPL (>= 3) license

Imports Rcpp, devtools

Suggests RcppArmadillo, roxygen2, testthat

Imported by GCPM, benchr, matchingMarkets, rFTRLProximal, textmineR, textreuse.

Depended on by Rlda.

Suggested by msde.

Linked to by CFC, JAGUAR, MCMCprecision, NNLM, NetworkInference, Seurat, cpgen, dfcomb, dfmta, largeVis, lidR, lsgl, msgl, recosystem, sglOptim.

See at CRAN