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maestro: Orchestration of Data Pipelines

Framework for creating and orchestrating data pipelines. Organize, orchestrate, and monitor multiple pipelines in a single project. Use tags to decorate functions with scheduling parameters and configuration.

Version: 0.3.0
Depends: R (≥ 4.1.0)
Imports: cli (≥ 3.3.0), dplyr (≥ 1.1.0), glue, lifecycle, logger, lubridate (≥ 1.9.1), purrr (≥ 1.0.0), R.utils, R6, rlang (≥ 1.0.0), roxygen2, tictoc, timechange, utils
Suggests: furrr, future, knitr, rmarkdown, rstudioapi, testthat (≥ 3.0.0), withr
Published: 2024-09-23
DOI: 10.32614/CRAN.package.maestro
Author: Will Hipson ORCID iD [cre, aut, cph], Ryan Garnett [aut, ctb, cph]
Maintainer: Will Hipson <will.e.hipson at gmail.com>
BugReports: https://github.com/whipson/maestro/issues
License: MIT + file LICENSE
URL: https://github.com/whipson/maestro, https://whipson.github.io/maestro/
NeedsCompilation: no
Materials: README NEWS
In views: ReproducibleResearch
CRAN checks: maestro results

Documentation:

Reference manual: maestro.pdf
Vignettes: Quick Start (source, R code)
Motivation and Concepts (source, R code)
Use Cases (source, R code)
Advanced Scheduling (source, R code)

Downloads:

Package source: maestro_0.3.0.tar.gz
Windows binaries: r-devel: maestro_0.3.0.zip, r-release: maestro_0.3.0.zip, r-oldrel: maestro_0.3.0.zip
macOS binaries: r-release (arm64): maestro_0.3.0.tgz, r-oldrel (arm64): maestro_0.3.0.tgz, r-release (x86_64): maestro_0.3.0.tgz, r-oldrel (x86_64): maestro_0.3.0.tgz
Old sources: maestro archive

Linking:

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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.