Package: maestro 0.2.0

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.

Authors:Will Hipson [cre, aut, cph], Ryan Garnett [aut, ctb, cph]

maestro_0.2.0.tar.gz
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maestro.pdf |maestro.html
maestro/json (API)
NEWS

# Install 'maestro' in R:
install.packages('maestro', repos = c('https://whipson.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/whipson/maestro/issues

Datasets:

On CRAN:

9 exports 92 stars 4.22 score 44 dependencies 123 scripts 389 downloads

Last updated 21 days agofrom:a412568313. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 28 2024
R-4.5-winOKAug 28 2024
R-4.5-linuxOKAug 28 2024
R-4.4-winOKAug 28 2024
R-4.4-macOKAug 28 2024
R-4.3-winOKAug 28 2024
R-4.3-macOKAug 28 2024

Exports:build_schedulecreate_maestrocreate_pipelinelast_build_errorslast_run_errorslast_run_messageslast_run_warningsrun_schedulesuggest_orch_frequency

Dependencies:brewcallrclicommonmarkcpp11descdplyrevaluatefansifsgenericsgluehighrknitrlifecycleloggerlubridatemagrittrpillarpkgbuildpkgconfigpkgloadprocessxpspurrrR.methodsS3R.ooR.utilsR6rlangroxygen2rprojrootstringistringrtibbletictoctidyselecttimechangeutf8vctrswithrxfunxml2yaml

Advanced Scheduling

Rendered frommaestro-4-advanced-scheduling.Rmdusingknitr::rmarkdownon Aug 28 2024.

Last update: 2024-08-28
Started: 2024-06-20

Motivation and Concepts

Rendered frommaestro-2-motivation-concepts.Rmdusingknitr::rmarkdownon Aug 28 2024.

Last update: 2024-06-21
Started: 2024-05-30

Quick Start

Rendered frommaestro-1-quick-start.Rmdusingknitr::rmarkdownon Aug 28 2024.

Last update: 2024-08-08
Started: 2024-05-30

Use Cases

Rendered frommaestro-3-use-cases.Rmdusingknitr::rmarkdownon Aug 28 2024.

Last update: 2024-06-20
Started: 2024-05-30