r-crew

condav1.3.0

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) <https://CRAN.R-project.org/package=mirai> 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>.

License MITpermissive12 versions1 maintainers0 deps271 weekly dl
wlandau/crew
49
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[email protected] is safe to use (health: 49/100)

Health breakdown0 – 100
10/25
maintenance
3/20
popularity
25/25
security
9/15
maturity
2/15
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0
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First published · 2024-02-23 18:10:52.448000+00:00

Last updated · 2025-09-21 10:05:10.132000+00:00