← Back to home
Comparison · Analytics

embed vs ggpubr

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

embed vs ggpubr: at a glance

Featureembedggpubr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesfeature-engineering, recipes, tidymodels, umapvisualization, statistics, publication, ggplot2
Last editorial update1h ago45m ago
WebsiteVisit →Visit →

What is embed?

embed keeps adding encoding steps while shedding its deep-learning dependencies

embed supplies recipes steps that turn categorical predictors into numeric representations — likelihood encoding, UMAP projection, string-distance collapsing. The 1.1.x line made UMAP arguments tunable and moved keras and tensorflow out of hard dependencies; 1.2.0 added analytical likelihood encoding with partial pooling and retired step_feature_hash() in favor of textrecipes.

Read the full embed 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 →

embed vs ggpubr: editorial side-by-side

E
embed
ANALYTICS
0.0

embed keeps adding encoding steps while shedding its deep-learning dependencies

◆ Current state

embed supplies recipes steps that turn categorical predictors into numeric representations — likelihood encoding, UMAP projection, string-distance collapsing. The 1.1.x line made UMAP arguments tunable and moved keras and tensorflow out of hard dependencies; 1.2.0 added analytical likelihood encoding with partial pooling and retired step_feature_hash() in favor of textrecipes.

◆ Where it's heading

Two quiet directions run through these releases. One is making the steps tunable rather than fixed, so they participate properly in tidymodels grids. The other is boundary maintenance: heavy dependencies pushed to Suggests, overlapping steps handed to the package that owns them. Recent releases are thin and fix-driven.

◆ Prediction

Expect further consolidation with textrecipes over which package owns which encoding step, and continued upkeep against xgboost and uwot releases rather than new step families.

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 embed 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 embed or ggpubr.

See all embed alternatives → · See all ggpubr alternatives →

Recent activity from embed 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. 5mo agoggpubrRaises R and dplyr minimums, migrates off deprecated syntax
  3. 6mo agoembedstep_umap() zero-component bug fixed
  4. 8mo agoembedCompatibility with all xgboost versions
  5. 9mo agoggpubrPins Wilcoxon p-values against an R-devel change
  6. 11mo agoembedstep_lencode() adds analytical likelihood encoding with pooling
  7. 1y agoggpubrFixes after_stat() namespace failures in reverse dependencies
  8. 1y agoembedUMAP initial and target_weight become tunable
  9. 2y agoembedkeras and tensorflow moved to Suggests
  10. 2y agoembedstep_collapse_stringdist() returns factors
  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 embed and ggpubr?

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

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

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