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ggpubr vs tune

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

ggpubr vs tune: at a glance

Featureggpubrtune
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesvisualization, statistics, publication, ggplot2hyperparameter-tuning, tidymodels, parallelism, postprocessing
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is ggpubr?

ggpubr reached 1.0.0 with p-value formatting presets for specific journals

ggpubr adds publication-ready statistics and annotation to ggplot2. Two releases define its capability: 0.5.0 introduced the stat_*_test family and geom_pwc() for pairwise comparison brackets, and 1.0.0 added p-value formatting presets matching named journal house styles. In between, most releases are ggplot2 and dplyr deprecation chasing.

Read the full ggpubr trajectory →

What is tune?

tune extends tuning past the model itself to postprocessors, and adds a second parallel backend

tune runs hyperparameter search for tidymodels. Version 2.0.0 rewrote tune_grid() to make postprocessing tunable alongside preprocessing and the model, changed the .config naming scheme to match, and added mirai as a parallel backend next to future. Version 2.1.0 followed with quantile regression support and a replacement Gaussian process engine.

Read the full tune trajectory →

ggpubr vs tune: editorial side-by-side

G
ggpubr
ANALYTICS
0.0

ggpubr reached 1.0.0 with p-value formatting presets for specific journals

◆ Current state

ggpubr adds publication-ready statistics and annotation to ggplot2. Two releases define its capability: 0.5.0 introduced the stat_*_test family and geom_pwc() for pairwise comparison brackets, and 1.0.0 added p-value formatting presets matching named journal house styles. In between, most releases are ggplot2 and dplyr deprecation chasing.

◆ Where it's heading

The package is moving from drawing statistics to matching the conventions of where they get published - style presets are a different kind of feature from a new test. That sits on a persistent maintenance load: after_stat migrations, linewidth parameters, R-devel changing how the Wilcoxon test handles ties. ggpubr absorbs upstream deprecations so that figure code written years ago keeps rendering.

◆ Prediction

Expect the preset list to grow as users request their own journals' conventions, and the deprecation-chasing to continue with each ggplot2 release; the statistical test coverage looks complete enough that additions there would be surprising.

T
tune
ANALYTICS
0.0

tune extends tuning past the model itself to postprocessors, and adds a second parallel backend

◆ Current state

tune runs hyperparameter search for tidymodels. Version 2.0.0 rewrote tune_grid() to make postprocessing tunable alongside preprocessing and the model, changed the .config naming scheme to match, and added mirai as a parallel backend next to future. Version 2.1.0 followed with quantile regression support and a replacement Gaussian process engine.

◆ Where it's heading

Two migrations run through this timeline. The tunable surface keeps widening - first censored regression as a mode, then postprocessors via tailor - so that a candidate is now a preprocessor, model and postprocessor triple rather than just a model. The parallel story has moved from foreach to future and now to mirai, each step deprecating the last. Neither is finished.

◆ Prediction

Expect the foreach path to be removed outright, and the postprocessing surface to grow as tailor gains more steps; the GauPro switch will likely need follow-up as its behavior differs from the old engine.

Alternatives to ggpubr and tune

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 ggpubr or tune.

See all ggpubr alternatives → · See all tune alternatives →

Recent activity from ggpubr and tune

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

  1. 1mo agoggpubrJournal-specific p-value formatting presets in 1.0.0
  2. 3mo agotuneQuantile regression tuning; Bayesian search moves to GauPro
  3. 5mo agoggpubrRaises R and dplyr minimums, migrates off deprecated syntax
  4. 9mo agoggpubrPins Wilcoxon p-values against an R-devel change
  5. 10mo agotuneFixes int_pctl() with future parallelism on last_fit()
  6. 11mo agotunePostprocessors become tunable; mirai joins future as a backend
  7. 11mo agotuneDevelopment snapshot re-enabling skipped tests
  8. 1y agoggpubrFixes after_stat() namespace failures in reverse dependencies
  9. 1y agotuneWarns on foreach parallelism; space-filling grids by default
  10. 2y agotuneFixes parallel tuning errors under multisession plans
  11. 3y agoggpubrggadjust_pvalue() and reproducible jitter seeds
  12. 3y agoggpubrgeom_pwc() and the stat_*_test family arrive

Frequently asked questions

What is the difference between ggpubr and tune?

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

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggpubr and tune 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 ggpubr?

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

What are the best alternatives to tune?

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