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crew: A Distributed Worker Launcher Framework

In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'NNG'-powered 'mirai' R package by Gao (2023) <doi:10.5281/zenodo.7912722> is a sleek and sophisticated scheduler that efficiently processes these intense workloads. The 'crew' package extends 'mirai' with a unifying interface for third-party worker launchers. Inspiration also comes from packages. 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischel, and Surmann (2017) <doi:10.21105/joss.00135>.

Version: 0.10.2
Depends: R (≥ 4.0.0)
Imports: cli (≥ 3.1.0), data.table, getip, later, mirai (≥ 1.3.0), nanonext (≥ 1.3.0), processx, promises, ps, R6, rlang, stats, tibble, tidyselect, tools, utils
Suggests: autometric (≥ 0.1.0), knitr (≥ 1.30), markdown (≥ 1.1), rmarkdown (≥ 2.4), testthat (≥ 3.0.0)
Published: 2024-11-15
DOI: 10.32614/CRAN.package.crew
Author: William Michael Landau ORCID iD [aut, cre], Daniel Woodie [ctb], Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss at gmail.com>
BugReports: https://github.com/wlandau/crew/issues
License: MIT + file LICENSE
URL: https://wlandau.github.io/crew/, https://github.com/wlandau/crew
NeedsCompilation: no
Language: en-US
Materials: NEWS
In views: HighPerformanceComputing
CRAN checks: crew results

Documentation:

Reference manual: crew.pdf
Vignettes: Controller groups (source)
Introduction to crew (source)
Logging (source, R code)
Launcher plugins (source, R code)
Integration with promises (source)
Known risks of crew (source)
Asynchronous Shiny apps (source)

Downloads:

Package source: crew_0.10.2.tar.gz
Windows binaries: r-devel: crew_0.10.2.zip, r-release: crew_0.10.2.zip, r-oldrel: crew_0.10.2.zip
macOS binaries: r-release (arm64): crew_0.10.2.tgz, r-oldrel (arm64): crew_0.10.2.tgz, r-release (x86_64): crew_0.10.2.tgz, r-oldrel (x86_64): crew_0.10.2.tgz
Old sources: crew archive

Reverse dependencies:

Reverse imports: crew.aws.batch, crew.cluster
Reverse suggests: targets

Linking:

Please use the canonical form https://CRAN.R-project.org/package=crew to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.