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Comparison · Infra & APIs

evaluate vs goodpractice

A side-by-side editorial comparison of evaluate and goodpractice — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

evaluate vs goodpractice: at a glance

Featureevaluategoodpractice
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesr-lib, code-evaluation, knitr, graphics-capturecode-quality, static-analysis, r-package, ropensci
Last editorial update2h ago49m ago
WebsiteVisit →Visit →

What is evaluate?

The engine under every knitted R document reached 1.0 by making evaluation behave like the console.

evaluate captures the output, plots, messages and conditions produced by running R code, and it is the layer knitr and R Markdown sit on. The 1.0.0 release changed core semantics — multi-expression input now stops at the first error — and gave results a real class. Since then, releases have been graphics-focused: ragg-based capture when available, grid plot fixes, and a patch for ggplot2 4.0.0.

Read the full evaluate trajectory →

What is goodpractice?

The R package-quality checker returns from CRAN limbo with checks you can select by category.

goodpractice runs a battery of static checks over an R package — style, complexity, test coverage, documentation, DESCRIPTION hygiene — and reports what a reviewer would flag. The package was archived on CRAN, adopted by rOpenSci in 1.0.5, and version 1.1 is the first substantive release since: every check now belongs to one of 16 named groups, discoverable via all_check_groups() and selectable via checks_by_group(), with group-level exclusion through an option or environment variable and new default_checks() and tidyverse_checks() presets.

Read the full goodpractice trajectory →

evaluate vs goodpractice: editorial side-by-side

E
evaluate
INFRA · APIS
0.0

The engine under every knitted R document reached 1.0 by making evaluation behave like the console.

◆ Current state

evaluate captures the output, plots, messages and conditions produced by running R code, and it is the layer knitr and R Markdown sit on. The 1.0.0 release changed core semantics — multi-expression input now stops at the first error — and gave results a real class. Since then, releases have been graphics-focused: ragg-based capture when available, grid plot fixes, and a patch for ggplot2 4.0.0.

◆ Where it's heading

The package is being tightened rather than expanded. 1.0.0 removed complexity it could not justify, deprecated include_timing, dropped a function testing for an object it never created, and aligned error behaviour with the console; 1.0.4 then moved plot capture toward a faster, more capable device. The recurring theme is reliability of output capture across environments, which is exactly what a document-rendering substrate needs and what local_reproducible_output() exists to enforce.

◆ Prediction

Expect continued fast-follow patches keyed to graphics-stack releases — ggplot2 and ragg in particular — rather than new API surface.

G
goodpractice
INFRA · APIS
0.0

The R package-quality checker returns from CRAN limbo with checks you can select by category.

◆ Current state

goodpractice runs a battery of static checks over an R package — style, complexity, test coverage, documentation, DESCRIPTION hygiene — and reports what a reviewer would flag. The package was archived on CRAN, adopted by rOpenSci in 1.0.5, and version 1.1 is the first substantive release since: every check now belongs to one of 16 named groups, discoverable via all_check_groups() and selectable via checks_by_group(), with group-level exclusion through an option or environment variable and new default_checks() and tidyverse_checks() presets.

◆ Where it's heading

The direction is from a monolithic verdict toward a configurable one. Previously the practical choices were run everything or name individual checks; grouping makes partial adoption tractable, which matters because the full battery is opinionated enough that teams either accept all of it or ignore the tool. The tidyverse_checks() preset makes that explicit — the package is acknowledging that its defaults encode one house style among several. Earlier releases pointed the same way with a configurable cyclomatic complexity limit and adjustable output length.

◆ Prediction

With grouping and presets in place, the natural next step is per-project persistent configuration so exclusions live in the repository rather than in an option or environment variable.

Alternatives to evaluate and goodpractice

Other Infra & APIs products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either evaluate or goodpractice.

See all evaluate alternatives → · See all goodpractice alternatives →

Recent activity from evaluate and goodpractice

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 2mo agogoodpracticeChecks organized into 16 selectable groups with presets
  2. 11mo agoevaluatePatch for ggplot2 4.0.0 support
  3. 1y agoevaluatePlot capture moves to ragg when available
  4. 1y agoevaluateFix for rlang::abort() inside evaluate()
  5. 1y agoevaluate1.0 stops at the first error and gives results a class
  6. 2y agoevaluateSource handler gains access to the parsed call
  7. 2y agogoodpracticerOpenSci takes over maintenance, package restored to CRAN
  8. 4y agogoodpracticeConfigurable cyclomatic complexity limit and output length
  9. 5y agogoodpracticePackage logo added

Frequently asked questions

What is the difference between evaluate and goodpractice?

Both compete on the same themes — r-package — within Infra & APIs. evaluate and goodpractice are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is evaluate better than goodpractice?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. evaluate and goodpractice are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.

What are the best alternatives to evaluate?

Top evaluate alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "evaluate alternatives" section above for the current picks, or visit /alternatives/evaluate for the full list with editorial commentary on each.

What are the best alternatives to goodpractice?

Top goodpractice alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "goodpractice alternatives" section above for the current picks, or visit /alternatives/goodpractice for the full list with editorial commentary on each.