easystats
The easystats meta-package is install tooling wrapped around a relicensed ecosystem.
Comparison · Analytics
ggpubr vs Seurat
A side-by-side editorial comparison of ggpubr and Seurat — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:visualization
ggpubr vs Seurat: at a glance
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.
What is Seurat?
Seurat's centre of gravity has moved from single cells to spatial data and on-disk matrices
Seurat is the dominant R toolkit for single-cell analysis, and the 5.x line reads as two ongoing projects. One is spatial: successive releases absorb each new 10x output format - Visium HD, Xenium protein data, Space Ranger 4.0 segmentations - and add plotting and selection tools for them. The other is scale, where BPCells on-disk matrices keep gaining support in functions that previously required everything in memory.
ggpubr vs Seurat: editorial side-by-side
ggpubr
0.0ANALYTICS
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.
Seurat
0.0ANALYTICS
Seurat's centre of gravity has moved from single cells to spatial data and on-disk matrices
◆ Current state
Seurat is the dominant R toolkit for single-cell analysis, and the 5.x line reads as two ongoing projects. One is spatial: successive releases absorb each new 10x output format - Visium HD, Xenium protein data, Space Ranger 4.0 segmentations - and add plotting and selection tools for them. The other is scale, where BPCells on-disk matrices keep gaining support in functions that previously required everything in memory.
◆ Where it's heading
Both projects are driven from outside. The spatial work tracks whatever 10x ships, which is why data loaders and coordinate handling get rewritten release after release; the BPCells work tracks dataset sizes that no longer fit in RAM. Clustering and dimensionality reduction, the parts Seurat actually owns, change mainly by exposing more of uwot's and igraph's options rather than by new method development.
◆ Prediction
Expect the next release to absorb whatever instrument output 10x publishes next, and BPCells support to keep spreading into the functions that still densify matrices; the interactive spatial selection tooling looks like the one area with room to grow on its own terms.
Alternatives to ggpubr and Seurat
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 Seurat.
discrim
discrim settled into a thin engine shim after handing its model definitions to parsnip.
dbparser
dbparser shed its database and CSV writers to become just a DrugBank parser.
desirability2
desirability2 is making multi-metric model selection a first-class tidymodels step.
crosstalk
crosstalk is frozen infrastructure: four releases in five years, mostly CRAN upkeep.
cmdstanr
cmdstanr keeps adding fast approximations beside full HMC, and fighting Windows toolchains.
See all ggpubr alternatives → · See all Seurat alternatives →
Recent activity from ggpubr and Seurat
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoggpubrJournal-specific p-value formatting presets in 1.0.0 ⚡
- 1mo agoSeuratFixes zero-count genes in PrepSCTFindMarkers; UMAP init option
- 3mo agoSeuratBPCells gains regression support; ElbowPlot shows variance explained
- 5mo agoggpubrRaises R and dplyr minimums, migrates off deprecated syntax
- 8mo agoSeuratSpace Ranger 4.0 segmentations and interactive cell lasso ⚡
- 9mo agoSeuratXenium protein data; Leiden via igraph, UMAP via umap2
- 9mo agoggpubrPins Wilcoxon p-values against an R-devel change
- 1y agoggpubrFixes after_stat() namespace failures in reverse dependencies
- 1y agoSeuratsctransform and leverage-score calculation refactored for speed
- 1y agoSeuratTest fix for cross-platform clustering variability
- 3y agoggpubrggadjust_pvalue() and reproducible jitter seeds
- 3y agoggpubrgeom_pwc() and the stat_*_test family arrive ⚡
Frequently asked questions
What is the difference between ggpubr and Seurat?
Both compete on the same themes — visualization — within Analytics. ggpubr and Seurat 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 Seurat?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggpubr and Seurat 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 Seurat?
Top Seurat alternatives in Analytics are ranked by recent ship velocity. Browse the "Seurat alternatives" section above for the current picks, or visit /alternatives/seurat for the full list with editorial commentary on each.