pipeflow: Lightweight, General-Purpose Data Analysis Pipelines

A lightweight yet powerful framework for building robust data analysis pipelines. With 'pipeflow', you initialize a pipeline with your dataset and construct workflows step by step by adding R functions. You can modify, remove, or insert steps and parameters at any stage, while 'pipeflow' ensures the pipeline's integrity. Overall, this package offers a beginner-friendly framework that simplifies and streamlines the development of data analysis pipelines by making them modular, intuitive, and adaptable.

Version:	0.2.2
Imports:	data.table, jsonlite, lgr, methods, R6, stats, utils
Suggests:	ggplot2, knitr, mockery, rmarkdown, testthat, visNetwork
Published:	2024-12-22
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:	GPL-3
URL:	https://rpahl.github.io/pipeflow/, https://github.com/rpahl/pipeflow
NeedsCompilation:	no
Language:	en-US
Materials:	NEWS
In views:	ReproducibleResearch
CRAN checks:	pipeflow results

Documentation:

Reference manual:	pipeflow.pdf
Vignettes:	Get started with pipeflow (source, R code) Modifying existing pipelines (source, R code) Combining pipelines (source, R code) Collecting output (source, R code) Advanced: How to use pipeflow with split data sets (source, R code) Advanced: How pipelines can modify themselves at runtime (source, R code)

Downloads:

Package source:	pipeflow_0.2.2.tar.gz
Windows binaries:	r-devel: pipeflow_0.2.2.zip, r-release: pipeflow_0.2.2.zip, r-oldrel: pipeflow_0.2.2.zip
macOS binaries:	r-release (arm64): pipeflow_0.2.2.tgz, r-oldrel (arm64): pipeflow_0.2.2.tgz, r-release (x86_64): pipeflow_0.2.2.tgz, r-oldrel (x86_64): pipeflow_0.2.2.tgz
Old sources:	pipeflow archive

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