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.


Reference manual

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install.packages("pipeflow")

0.5.0 by Roman Pahl, 4 days ago


https://rpahl.github.io/pipeflow/, https://github.com/rpahl/pipeflow


Report a bug at https://github.com/rpahl/pipeflow/issues


Browse source code at https://github.com/cran/pipeflow


Authors: Roman Pahl [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports data.table, Rcpp, stats

Suggests bench, ggplot2, gridExtra, knitr, mockery, rlang, rmarkdown, targets, testthat, visNetwork

Linking to Rcpp


See at CRAN