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gghighlight vs nipnTK

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

gghighlight vs nipnTK: at a glance

FeaturegghighlightnipnTK
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2, data-visualisation, ggplot-extension, upstream-compatnutrition surveys, data quality, anthropometry, nutriverse
Last editorial update55m ago3h ago
WebsiteVisit →Visit →

What is gghighlight?

A single-purpose ggplot2 extension that has spent six years tracking ggplot2 instead of growing.

gghighlight adds one verb to ggplot2: highlight the series matching a predicate and grey out the rest, with unhighlighted_params controlling how the shadowed layer renders and calculate_per_facet deciding whether the predicate evaluates within facets. The API settled at 0.2.0; the 0.5.0 release supports ggplot2 v4.0 including its ink and paper theme elements, and finally deletes gghighlight_point() and gghighlight_line().

Read the full gghighlight trajectory →

What is nipnTK?

nipnTK's toolkit is settled; the last two years have gone into packaging, not methods.

An R implementation of the NiPN anthropometric data-quality checks — age heaping, age ratio tests, digit preference and the rest. The methods have been stable since the first CRAN release in 2020; the substantive change since was fixing ageRatioTest() for missing and numeric age values, shipped as a GitHub development release in April 2024 and to CRAN the next day. The most recent release is explicitly routine upkeep: refactored functions, a test for age heaping, pkgdown moved to the nutriverse template, citation and funding metadata.

Read the full nipnTK trajectory →

gghighlight vs nipnTK: editorial side-by-side

G
gghighlight
ANALYTICS
0.0

A single-purpose ggplot2 extension that has spent six years tracking ggplot2 instead of growing.

◆ Current state

gghighlight adds one verb to ggplot2: highlight the series matching a predicate and grey out the rest, with unhighlighted_params controlling how the shadowed layer renders and calculate_per_facet deciding whether the predicate evaluates within facets. The API settled at 0.2.0; the 0.5.0 release supports ggplot2 v4.0 including its ink and paper theme elements, and finally deletes gghighlight_point() and gghighlight_line().

◆ Where it's heading

Two threads run through the history. One is a slow deprecation, from soft-deprecating the geom-specific functions at 0.1.0, to defunct at 0.3.0, to removed at 0.5.0 — a five-year removal cycle. The other is compatibility work: purrr 1.0.0, dplyr's across() deprecation, ggplot2 3.4.0, then 4.0. Genuine feature additions are rare and small, with line_label_type at 0.4.0 the last one. Note that 0.3.2's notes restate 0.3.1's n() item, so adjacent tags here overlap rather than each describing distinct work.

◆ Prediction

The next release most likely absorbs further ggplot2 4.x changes, given that is what triggered the last three. Nothing in the entries points to a new highlighting capability.

N
nipnTK
ANALYTICS
0.0

nipnTK's toolkit is settled; the last two years have gone into packaging, not methods.

◆ Current state

An R implementation of the NiPN anthropometric data-quality checks — age heaping, age ratio tests, digit preference and the rest. The methods have been stable since the first CRAN release in 2020; the substantive change since was fixing ageRatioTest() for missing and numeric age values, shipped as a GitHub development release in April 2024 and to CRAN the next day. The most recent release is explicitly routine upkeep: refactored functions, a test for age heaping, pkgdown moved to the nutriverse template, citation and funding metadata.

◆ Where it's heading

This is a maintained reference implementation rather than an evolving product. Release notes are dominated by repository plumbing — CI workflows, website templates, badges, CITATION files — which is what a package looks like once its statistical surface is complete and the work shifts to keeping it installable and citable. The nutriverse pkgdown template and shared conventions place it inside a family of nutrition packages from the same maintainer rather than standing alone.

◆ Prediction

Expect continued maintenance releases driven by CRAN policy and the nutriverse template rather than new checks, since two of the last three releases contained no method changes at all.

Alternatives to gghighlight and nipnTK

Other Analytics 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 gghighlight or nipnTK.

See all gghighlight alternatives → · See all nipnTK alternatives →

Recent activity from gghighlight and nipnTK

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

  1. 6mo agonipnTKMaintenance release: refactoring, tests and packaging metadata
  2. 1y agogghighlightggplot2 v4.0 support; geom-specific functions removed
  3. 2y agonipnTKageRatioTest fixed for missing and numeric age values
  4. 2y agonipnTKDevelopment precursor to the 0.2.0 ageRatioTest fixes
  5. 2y agogghighlightTest expectations updated for upcoming ggplot2
  6. 3y agonipnTKRepository and CI maintenance
  7. 3y agogghighlightline_label_type adds geomtextpath and second-axis labelling
  8. 4y agogghighlightDeprecated dplyr::across() usage removed
  9. 5y agogghighlightExplicit NULL in unhighlighted_params preserved; aesthetic name clash fixed
  10. 5y agogghighlightDiscrete-scale labels and n() predicates
  11. 5y agonipnTKFirst CRAN release of the NiPN data-quality toolkit

Frequently asked questions

What is the difference between gghighlight and nipnTK?

They serve adjacent needs but don't currently overlap on shipped themes. gghighlight and nipnTK 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 gghighlight better than nipnTK?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. gghighlight and nipnTK 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 Analytics products to evaluate alongside.

What are the best alternatives to gghighlight?

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

What are the best alternatives to nipnTK?

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