← Back to home
Comparison · Analytics

bonsai vs ggpubr

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

bonsai vs ggpubr: at a glance

Featurebonsaiggpubr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themestidymodels, gradient-boosting, engines, lightgbmvisualization, statistics, publication, ggplot2
Last editorial update2h ago1h ago
WebsiteVisit →Visit →

What is bonsai?

bonsai keeps widening tidymodels' boosted-tree engine bench, catboost most recently

bonsai exists to attach non-core tree engines to parsnip's boost_tree() and rand_forest(), and the release history reads as a steady accumulation of them: partykit, aorsf, lightgbm, and now catboost. The 0.4.x line is spent making catboost behave like a full tidymodels citizen rather than adding anything new.

Read the full bonsai 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 →

bonsai vs ggpubr: editorial side-by-side

B
bonsai
ANALYTICS
0.0

bonsai keeps widening tidymodels' boosted-tree engine bench, catboost most recently

◆ Current state

bonsai exists to attach non-core tree engines to parsnip's boost_tree() and rand_forest(), and the release history reads as a steady accumulation of them: partykit, aorsf, lightgbm, and now catboost. The 0.4.x line is spent making catboost behave like a full tidymodels citizen rather than adding anything new.

◆ Where it's heading

Each engine follows the same arc — land it, then close the gaps that keep it from tuning cleanly (parameter naming, multi_predict, threading, case weights). Recent work is squarely in that second phase for catboost, with dials supplying the matching parameter objects on its own release schedule. Bug-fix density is high relative to new surface.

◆ Prediction

Expect the catboost integration to keep filling in tuning and GPU-related arguments before any further engine is added; the entries give no signal about which engine would come next.

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 bonsai 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 bonsai or ggpubr.

See all bonsai alternatives → · See all ggpubr alternatives →

Recent activity from bonsai 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. 2mo agobonsaicatboost gains multi_predict() and corrected tuning parameters
  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 agobonsaicatboost engine added to boost_tree()
  7. 1y agobonsailightgbm accepts sparse matrices for fit and predict
  8. 2y agobonsaiaorsf fit failure in multisession workers fixed
  9. 2y agobonsaiaorsf engine added; lightgbm gains dataset params and case weights
  10. 3y agoggpubrggadjust_pvalue() and reproducible jitter seeds
  11. 3y agobonsailightgbm num_leaves becomes tunable; alias arguments disallowed
  12. 3y agoggpubrgeom_pwc() and the stat_*_test family arrive

Frequently asked questions

What is the difference between bonsai and ggpubr?

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

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

Top bonsai alternatives in Analytics are ranked by recent ship velocity. Browse the "bonsai alternatives" section above for the current picks, or visit /alternatives/bonsai-r 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.