targets

Dynamic Function-Oriented 'Make'-Like Declarative Workflows

As a pipeline toolkit for Statistics and data science in R, the 'targets' package brings together function-oriented programming and 'Make'-like declarative workflows. It analyzes the dependency relationships among the tasks of a workflow, skips steps that are already up to date, runs the necessary computation with optional parallel workers, abstracts files as R objects, and provides tangible evidence that the results match the underlying code and data. The methodology in this package borrows from GNU 'Make' (2015, ISBN:978-9881443519) and 'drake' (2018, <doi:10.21105/joss.00550>).

Tests Vignettes

Available Snapshots

This version of targets can be found in the following snapshots:

Dependencies

Imports/Depends/LinkingTo/Enhances (15)
R base64url >= 1.4 callr >= 3.7.0 cli >= 2.0.2 data.table >= 1.12.8 igraph >= 2.0.0 knitr >= 1.34 ps R6 >= 2.4.1 rlang >= 1.0.0 secretbase >= 0.5.0 tibble >= 3.0.1 tidyselect >= 1.1.0 vctrs >= 0.2.4 yaml >= 2.2.1

Suggests (34)
bslib clustermq >= 0.9.2 crew curl >= 4.3 DT >= 0.14 dplyr >= 1.0.0 fst >= 0.9.2 future >= 1.19.1 future.batchtools >= 0.9.0 future.callr >= 0.6.0 gargle >= 1.2.0 googleCloudStorageR gt >= 0.2.2 keras >= 2.2.5.0 markdown >= 1.1 nanonext rmarkdown >= 2.4 parallelly >= 1.35.0 paws.common >= 0.6.4 paws.storage >= 0.4.0 pingr >= 2.0.1 pkgload >= 1.1.0 processx >= 3.4.3 qs >= 0.24.1 reprex >= 2.0.0 rstudioapi >= 0.11 R.utils >= 2.6.0 shiny >= 1.5.0 shinybusy >= 0.2.2 shinyWidgets >= 0.5.4 testthat >= 3.0.0 torch usethis >= 1.6.3 visNetwork >= 2.1.2

Suggests (34)

crew

future.batchtools >= 0.9.0

future.callr >= 0.6.0

gargle >= 1.2.0