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maestro

1.4.0Package record

Orchestration of Data Pipelines

0packages depend
6.9Kdownloads / year
86.7%test coverage
13/13flavors OK

Overview

About

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.

Changes in 1.4.0

New features

  • New update_metric(name, value, increment = FALSE) function records or overwrites a named metric for the pipeline currently being executed. Call it from within a pipeline function's body - maestro automatically attributes the metric to the currently-running pipeline and run. Repeated calls with the same name in the same run overwrite the previous value by default; value must be a non-missing numeric scalar. Set increment = TRUE to add value to the metric's current value instead of overwriting it (this also works when the metric hasn't been set yet in the current run); a negative value decrements it.
  • New get_metrics(schedule) (and schedule$get_metrics()) returns all recorded metrics as a long data.frame with columns pipe_name, run_id, metric, and value (numeric), across all runs of a schedule.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 4.8 min · r-release-macos-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.4.0
READMEYes · 489 wordsVignettesYes · 10 · dynamicNEWSYes · 100% structured · mentions 1.4.0Citation fileNoWebsiteYes · pkgdown
Help pages
36 (14 internal)includes a package overview page
Examples that run
100%21 run in a plain check (17 of them under a condition)
Exported functions with examples
100%
Documented parameters
97%
Return-value docs
100%
Help pages citing references
0%

Downloads

6.9K
CRAN downloads in the past year
Rank #4,543 · ~19/day · ~573/mo
Daily download trend is not available in this view yet.
82630 days
1.8K90 days
6.9K1 year
Compare downloads with other packages →
Also on4.2K r2u7 autocran

Repository

139Stars
4Forks
0Open issues
0Open PRs
30Releases
714Commits
5Commit identities
714 commits · Last activity 2026-10-15 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
95%
Median days to close, 50 most recently updated closed issues
15
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-09-11 · 1262026-08-04 · 139
PracticesBeta

10 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/whipson/maestro on 2026-10-11.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (4)
README.qmdpkgdown

GitHub Pages site last deployed 2026-09-15 · The repository has a site deploy workflow

pkgdown site last built 2026-09-15, before release 1.4.0 (2026-10-14)

Coverage (1)
Coverage reporting (Codecov)
Reproducibility and dev environment (1)
renv
Show all practicesHide 1 practice
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
How this is detected·Detection ruleset v3 (2026-09-26)
AI coding toolsBeta

This repository shows signs of AI coding tools.

  • GitHub Copilotfirst seen 2026-04-01
    Seen in the repository: .github/copilot-instructions.md
Shared conventions any agent may read, so they name no particular tool.
Seen in the repository: AGENTS.md
How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies
22 external dependencies (excludes base and recommended)

Installing maestro adds 43 packages (21 with compiled code, 12 MB of source tarballs). Heaviest: fs 1.4 MB, logger 1.1 MB, vctrs 1.0 MB.

Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Maintainer since 0.1.2 (2024), Author, Copyright holder
Author, Contributor, Copyright holder
Releases (23)

Pick two releases to compare their code metrics.

Show 10 earlier eventsHide 10 earlier events

Package metadata

First published
2024-08-01
Total releases
23 / 2 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1.0
Download size
623 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("maestro")
Hipson, W., & Garnett, R. (2026). maestro: Orchestration of Data Pipelines (Version 1.4.0) [Computer software]. https://doi.org/10.32614/CRAN.package.maestro

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for maestro version 1.4.0 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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