pipeflow: Fast Interactive Data Analysis Pipelines

A lightweight and intuitive framework for building interactive data analysis pipelines. You add R functions one by one, and 'pipeflow' wires them into a pipeline that stays consistent as you go. Modify, remove, or insert steps at any stage, manage all parameters in one place, fast execution (C++-powered DAG) for interactive use and Shiny backends.

Version: 0.3.0
Depends: R (≥ 4.2.0)
Imports: data.table, jsonlite, lgr, methods, R6, Rcpp (≥ 1.1.1), stats, utils
LinkingTo: Rcpp
Suggests: ggplot2, gridExtra, knitr, mockery, rmarkdown, targets, testthat, visNetwork
Published: 2026-06-15
DOI: 10.32614/CRAN.package.pipeflow
Author: Roman Pahl [aut, cre]
Maintainer: Roman Pahl <roman.pahl at gmail.com>
BugReports: https://github.com/rpahl/pipeflow/issues
License: MIT + file LICENSE
URL: https://rpahl.github.io/pipeflow/, https://github.com/rpahl/pipeflow
NeedsCompilation: yes
Language: en-US
Materials: NEWS
In views: ReproducibleResearch
CRAN checks: pipeflow results

Documentation:

Reference manual: pipeflow.html , pipeflow.pdf
Vignettes: Get started with pipeflow (source, R code)
Modifying existing pipelines (source, R code)
Combining pipelines (source, R code)
Collecting and filtering output (source, R code)
Split, map, and reduce (source, R code)
Recursive self-modification (source, R code)

Downloads:

Package source: pipeflow_0.3.0.tar.gz
Windows binaries: r-devel: pipeflow_0.2.3.zip, r-release: pipeflow_0.2.3.zip, r-oldrel: pipeflow_0.2.3.zip
macOS binaries: r-release (arm64): pipeflow_0.3.0.tgz, r-oldrel (arm64): pipeflow_0.3.0.tgz, r-release (x86_64): pipeflow_0.2.3.tgz, r-oldrel (x86_64): pipeflow_0.2.3.tgz
Old sources: pipeflow archive

Linking:

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