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pipeflow 0.4.0 is an R package for building interactive data-analysis pipelines from functions. The CRAN release was published on September 27, 2026, and requires R 4.2.0 or later. Its main change is a broader pipeline-object API, alongside expanded ways to collect and inspect pipeline outputs.
What pipeflow does
pipeflow turns R functions into steps in a data-analysis pipeline. You can insert, remove, or modify steps as an analysis evolves, while managing parameters centrally. The package describes dependency resolution through a C++-powered directed acyclic graph (DAG) and identifies interactive analysis and Shiny backends as intended use contexts. These are the project’s stated design features, not an independently verified speed comparison.
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The approach may suit R users who need to revise an analysis interactively rather than define a fixed sequence of steps once. Documented capabilities include checking a pipeline as it is defined, filtering steps with views, branching and merging, and composing nested or split/map/reduce workflows. See the reference manual for package and API details.
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The release expands both the way users operate on a pipeline and the ways they retrieve its structure and results.
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Pipeline operations and editing
- Common operations, including adding steps, running a pipeline, and setting parameters, can now be called as methods on the pipeline object.
- Extraction and replacement support two-index access, negative row indices, and data.table-style Boolean filters.
- Steps can be assigned across pipelines to copy them, or removed by assigning
NULL. - The release adds timestamps and supports setting or replacing views.
Collecting and inspecting results
pip_collect()replaces the formerpip_collect_out()name and adds grouping throughby, compact table output withas.table = TRUE, and control over flattening single-step groups withsimplify.pip_data()provides direct access to the pipeline’s underlying step table.pip_graph()returns graph data compatible with visNetwork. The previous namespip_collect_out()andpip_get_graph()remain available as deprecated aliases.
The full release notes are in the pipeflow NEWS file.
Release details and prerequisites
| Item | pipeflow 0.4.0 details |
|---|---|
| CRAN publication | September 27, 2026, according to the CRAN package record |
| Minimum R version | R 4.2.0 |
| Author and maintainer | Roman Pahl |
| License | MIT + file LICENSE |
| Imports | data.table, Rcpp (version 1.1.1 or later), and stats |
| Suggested packages | ggplot2, gridExtra, knitr, mockery, rmarkdown, targets, testthat, and visNetwork |
Suggested packages are listed by CRAN for additional uses; they are not the same as the package’s declared imports. Consult the CRAN record for the current metadata and package files.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Install pipeflow and choose a guide
With a compatible R installation, install the CRAN release from an R session:
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1Scan for outdated or missing drivers - takes under a minute2Clear out junk files and repair common Windows errors3Fix the driver behind crashes, sound loss and screen glitchesinstall.packages("pipeflow")Start with the package’s getting-started materials and project documentation to learn how to compose functions as pipeline steps. The project documentation and CRAN vignettes also cover views, nested pipelines, split/map/reduce, output collection, combining pipelines, and self-modifying pipelines. The CRAN page lists the available vignettes and reference manual.
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