rOpenSci's targets package is a Make-like pipeline toolkit for Statistics and data science in R. It helps users maintain computationally intense reproducible workflows while minimizing the execution time of successive runs. targets skips costly runtime for tasks that are already up to date, runs the necessary computation with implicit parallel computing, and abstracts files as R objects. A fully up-to-date targets pipeline is tangible evidence that the output aligns with the code and data, which substantiates trust in the results. targets is the long-term successor to drake, and it surpasses drake's permanent limitations in ease of use, robustness, and extensibility.
rOpenSci's
targets
package is a Make-like pipeline toolkit for Statistics and data science in R. It helps users maintain computationally intense reproducible workflows while minimizing the execution time of successive runs.targets
skips costly runtime for tasks that are already up to date, runs the necessary computation with implicit parallel computing, and abstracts files as R objects. A fully up-to-datetargets
pipeline is tangible evidence that the output aligns with the code and data, which substantiates trust in the results.targets
is the long-term successor todrake
, and it surpassesdrake
's permanent limitations in ease of use, robustness, and extensibility.