drake
A Pipeline Toolkit for Reproducible Computation at Scale
A general-purpose computational engine for data analysis, drake rebuilds intermediate data objects when their dependencies change, and it skips work when the results are already up to date. Not every execution starts from scratch, there is native support for parallel and distributed computing, and completed projects have tangible evidence that they are reproducible. Extensive documentation, from beginner-friendly tutorials to practical examples and more, is available at the reference website https://docs.ropensci.org/drake/ and the online manual https://books.ropensci.org/drake/.
- GitHub
- https://docs.ropensci.org/drake/
- https://books.ropensci.org/drake/
- File a bug report
- drake results
- drake.pdf
- Version7.13.11
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Languageen-US
- drake citation info
- Last release12/04/2024
Documentation
Team
William Michael Landau
MaintainerShow author detailsBen Marwick
Show author detailsRolesReviewerMiles McBain
Matthew Mark Strasiotto
Show author detailsRolesContributorJasper Clarkberg
Show author detailsRolesContributorTristan Mahr
Alex Axthelm
Show author detailsRolesContributorEllis Hughes
Show author detailsRolesContributorPeter Slaughter
Show author detailsRolesReviewerKirill Müller
Show author detailsRolesContributorEli Lilly and Company
Show author detailsRolesCopyright holderBen Bond-Lamberty
Noam Ross
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- Imports8 packages
- Suggests31 packages