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Comparison · Analytics

finetune vs ggpubr

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

finetune vs ggpubr: at a glance

Featurefinetuneggpubr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themestidymodels, hyperparameter-tuning, racing, simulated-annealingvisualization, statistics, publication, ggplot2
Last editorial update1h ago48m ago
WebsiteVisit →Visit →

What is finetune?

finetune tracks tune's evolving contracts more than it advances racing itself

finetune provides the racing and simulated-annealing alternatives to grid search in tidymodels. The core algorithms have been stable since 1.0.x; what has changed is everything around them — censored regression support arriving with a tune release, weighted resampling estimates preserved through racing, and a breaking move to named-only optional arguments.

Read the full finetune trajectory →

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 →

finetune vs ggpubr: editorial side-by-side

F
finetune
ANALYTICS
0.0

finetune tracks tune's evolving contracts more than it advances racing itself

◆ Current state

finetune provides the racing and simulated-annealing alternatives to grid search in tidymodels. The core algorithms have been stable since 1.0.x; what has changed is everything around them — censored regression support arriving with a tune release, weighted resampling estimates preserved through racing, and a breaking move to named-only optional arguments.

◆ Where it's heading

This is a package operating downstream of tune, adopting whatever the shared resampling machinery grows next rather than proposing new search strategies. The 1.3.0 weighting work is a clear example: tune changed how resampling estimates are computed, and finetune's job was to not lose the weights during racing. Error messages and input checks are the steady internal theme.

◆ Prediction

Expect the next release to absorb whatever tune changes about metric collection or resampling weights; nothing in the entries points to a new search algorithm.

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.

Alternatives to finetune and ggpubr

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 finetune or ggpubr.

See all finetune alternatives → · See all ggpubr alternatives →

Recent activity from finetune and ggpubr

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

  1. 1mo agoggpubrJournal-specific p-value formatting presets in 1.0.0
  2. 3mo agofinetuneRacing preserves tune's assessment-set weighting
  3. 5mo agoggpubrRaises R and dplyr minimums, migrates off deprecated syntax
  4. 9mo agoggpubrPins Wilcoxon p-values against an R-devel change
  5. 1y agoggpubrFixes after_stat() namespace failures in reverse dependencies
  6. 1y agofinetuneMaintenance release; magrittr pipe replaced with base pipe
  7. 2y agofinetuneCensored regression models can be raced and annealed
  8. 3y agofinetuneKeep-up release for tune and dplyr; .config alignment fixed
  9. 3y agoggpubrggadjust_pvalue() and reproducible jitter seeds
  10. 3y agoggpubrgeom_pwc() and the stat_*_test family arrive
  11. 3y agofinetuneRacing results filter to fully resampled configurations
  12. 3y agofinetuneInformative error when resamples are too few for racing

Frequently asked questions

What is the difference between finetune and ggpubr?

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

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

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

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.