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 your workflow step by step by seamlessly adding R functions. Modify, remove, or insert steps at any stage while 'pipeflow' ensures the integrity and correctness of your pipeline. Designed to help you focus on the 'what' rather than the 'how', this package simplifies the implementation of complex workflows, making even large-scale data analysis projects manageable, adaptable, and reusable with ease.

Version: 0.2.1
Imports: data.table, jsonlite, lgr, methods, R6, stats, utils
Suggests: ggplot2, knitr, mockery, rmarkdown, testthat, visNetwork
Published: 2024-12-05
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
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_0.2.1.tar.gz
Windows binaries: r-devel: pipeflow_0.2.1.zip, r-release: pipeflow_0.2.1.zip, r-oldrel: pipeflow_0.2.1.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): pipeflow_0.2.1.tgz, r-oldrel (x86_64): pipeflow_0.2.1.tgz
Old sources: pipeflow archive

Linking:

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