workflowr: A Framework for Reproducible and Collaborative Data Science

Provides a workflow for your analysis projects by combining literate programming ('knitr' and 'rmarkdown') and version control ('Git', via 'git2r') to generate a website containing time-stamped, versioned, and documented results.

Version: 1.2.0
Depends: R (≥ 3.2.5)
Imports: callr, fs (≥ 1.2.4), getPass, git2r, glue, knitr (≥ 1.18), methods, rmarkdown (≥ 1.7), rprojroot, rstudioapi, stringr (≥ 1.1.0), tools, utils, whisker, yaml
Suggests: covr, devtools, testthat, withr
Published: 2019-02-14
Author: John Blischak ORCID iD [aut, cre], Peter Carbonetto ORCID iD [aut], Matthew Stephens ORCID iD [aut], Luke Zappia [ctb] (Instructions for hosting with GitLab), Pierre Formont [ctb] (Support for hosting with Shiny Server), Tim Trice [ctb] (Instructions for sharing common code)
Maintainer: John Blischak <jdblischak at>
License: MIT + file LICENSE
NeedsCompilation: no
SystemRequirements: pandoc (>= 1.12.3) -
Materials: NEWS
CRAN checks: workflowr results


Reference manual: workflowr.pdf
Vignettes: Getting started with workflowr
Customize your research website
Migrating an existing project to use workflowr
How the workflowr package works
Frequently asked questions
Hosting workflowr websites using GitLab
Sharing common code across analyses
Alternative strategies for deploying workflowr websites
Package source: workflowr_1.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: workflowr_1.1.1.tgz, r-oldrel: workflowr_1.1.1.tgz
Old sources: workflowr archive


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