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_0.3.0.zip, r-release: pipeflow_0.3.0.zip, r-oldrel: pipeflow_0.3.0.zip
macOS binaries:	r-release (arm64): pipeflow_0.3.0.tgz, r-oldrel (arm64): pipeflow_0.3.0.tgz, r-release (x86_64): pipeflow_0.3.0.tgz, r-oldrel (x86_64): pipeflow_0.3.0.tgz
Old sources:	pipeflow archive

Linking:

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