ropensci/targets

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1096 stars · 85 forks observed · 2026-09-27

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

targets is a Make-like, function-oriented pipeline tool for statistics and data science workflows in R. It skips computation for up-to-date targets, orchestrates implicit parallel computing, and stores outputs to make analyses efficient and reproducible.

Use cases

• run reproducible data science pipelines in R
• skip recomputation of unchanged analysis steps
• orchestrate parallel statistical analyses
• manage dependencies between data processing and modeling tasks
• build reproducible research workflows for papers
• run computationally demanding simulation studies
• cache intermediate results of long-running R analyses

When to choose

• your R analysis project has interdependent steps and slow recomputation
• you want Make-like incremental builds for statistics or data science
• you need reproducible, evidence-backed pipelines for research or business deliverables
• you want implicit parallel/distributed computing via crew or clustermq

When to avoid

• your project is not in R
• you need a general-purpose CI/CD or container orchestration tool
• your workflow is a simple linear script with no costly steps

Facets

library · maturity active

workflow-automation scheduling developer-tools data-science developer-tools cross-platform cli make-like pipeline reproducible-research rstats parallel-computing r-package automation reproducibility r

Member repositories

For agents

markdown · JSON · MCP: product_card(name="ropensci/targets")