cmdstanr
cmdstanr keeps adding fast approximations beside full HMC, and fighting Windows toolchains.
Comparison · Analytics
ggpubr vs see
A side-by-side editorial comparison of ggpubr and see — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:ggplot2
ggpubr vs see: 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 see?
see grows wherever easystats adds a diagnostic, one plot method at a time.
see is the visualization layer for the easystats ecosystem, supplying plot() methods for performance, parameters and datawizard objects. Each release adds methods for whatever those packages shipped — prior predictive checks, DAG diagrams, factor-analysis graphs — alongside steady theme and geom refinement.
ggpubr vs see: 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.
see
0.0ANALYTICS
see grows wherever easystats adds a diagnostic, one plot method at a time.
◆ Current state
see is the visualization layer for the easystats ecosystem, supplying plot() methods for performance, parameters and datawizard objects. Each release adds methods for whatever those packages shipped — prior predictive checks, DAG diagrams, factor-analysis graphs — alongside steady theme and geom refinement.
◆ Where it's heading
Growth here is downstream-driven rather than self-directed: see expands to cover new diagnostics as easystats produces them. Running alongside that is a sustained investment in presentation control — theme arguments on plot methods, elements that scale with base_size — which suits users embedding these plots in documents rather than glancing at them interactively.
◆ Prediction
Expect new plot methods to keep arriving in step with performance and parameters releases, with continued theming work rather than any change in the package's scope.
Alternatives to ggpubr and see
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 see.
comtradr
comtradr's 1.0 line is a long tail of patches against a brittle UN trade API.
billboarder
An htmlwidget whose release notes are mostly billboard.js version bumps, quiet since 2021.
bbotk
bbotk is generalizing from an optimizer toolkit into an evaluation framework.
bayesplot
bayesplot keeps widening its posterior-check catalogue while absorbing each ggplot2 break.
animation
Contribution-driven maintenance on a package whose last structural change was magick support.
Recent activity from ggpubr and see
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoggpubrJournal-specific p-value formatting presets in 1.0.0 ⚡
- 1mo agoseesee 0.14.1 adds plots for prior checks and grouped means
- 2mo agoseesee 0.14.0 renders factor loadings as node-edge graphs
- 5mo agoggpubrRaises R and dplyr minimums, migrates off deprecated syntax
- 6mo agoseesee 0.13.0 fixes reversed plot sorting, adds theme arguments
- 9mo agoggpubrPins Wilcoxon p-values against an R-devel change
- 11mo agoseesee 0.12.0 extends normality checks to psych factor models
- 1y agoggpubrFixes after_stat() namespace failures in reverse dependencies
- 1y agoseesee 0.11.0 scales theme elements with base_size
- 1y agoseesee 0.10.0 plots random-effect group levels for mixed models
- 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 see?
Both compete on the same themes — ggplot2 — within Analytics. ggpubr and see 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 see?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggpubr and see 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 see?
Top see alternatives in Analytics are ranked by recent ship velocity. Browse the "see alternatives" section above for the current picks, or visit /alternatives/see-r for the full list with editorial commentary on each.