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ggstats vs slope

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

Shared themes:r-package

ggstats vs slope: at a glance

Featureggstatsslope
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2, data-visualization, likert, regression-modelssparse-regression, penalized-models, cpp, r-package
Last editorial update1h ago4h ago
WebsiteVisit →Visit →

What is ggstats?

ggstats keeps widening what a coefficient or Likert plot can be

ggstats extends ggplot2 with statistical plotting: model coefficient plots, Likert and diverging bar charts, proportion geometries and the helpers that make them behave. Recent releases have added an experimental gglikert_side(), left and right total columns for gglikert(), and survey-object support across the Likert family. Development is steady and CRAN-paced, with releases every two to three months.

Read the full ggstats trajectory →

What is slope?

A year after gutting itself for a C++ rewrite, SLOPE is back to polishing the interface

SLOPE fits sorted L-one penalized regression models. In July 2025 it replaced its entire solver with the external libslope C++ library, removing the ADMM solver, dropping debugging fields, changing alpha scaling and warning users directly that the breakage was extensive. The releases since have rebuilt convenience on top of that core: summary() and refit() methods for cross-validated objects, automatic refitting in cvSLOPE(), and a threading default reduced from half the available cores to one.

Read the full slope trajectory →

ggstats vs slope: editorial side-by-side

G
ggstats
ANALYTICS
0.0

ggstats keeps widening what a coefficient or Likert plot can be

◆ Current state

ggstats extends ggplot2 with statistical plotting: model coefficient plots, Likert and diverging bar charts, proportion geometries and the helpers that make them behave. Recent releases have added an experimental gglikert_side(), left and right total columns for gglikert(), and survey-object support across the Likert family. Development is steady and CRAN-paced, with releases every two to three months.

◆ Where it's heading

Two long-running threads. The coefficient side has been consolidating — ggcoef_multinom() and ggcoef_multicomponents() soft-deprecated in favour of a unified ggcoef_model() with group_by, plus new ggcoef_dodged() and ggcoef_faceted() variants. The Likert side keeps expanding outward instead, absorbing survey objects, total columns and side-by-side layouts. Underneath both is a steady tax of ggplot2 and vctrs compatibility work, including tracking the geom_errorbarh() deprecation in ggplot2 4.0.0.

◆ Prediction

Expect gglikert_side() to lose its experimental status once its interface settles, and the deprecated multinomial entry points to be removed in a future release now that ggcoef_model() covers their cases.

S
slope
ANALYTICS
0.0

A year after gutting itself for a C++ rewrite, SLOPE is back to polishing the interface

◆ Current state

SLOPE fits sorted L-one penalized regression models. In July 2025 it replaced its entire solver with the external libslope C++ library, removing the ADMM solver, dropping debugging fields, changing alpha scaling and warning users directly that the breakage was extensive. The releases since have rebuilt convenience on top of that core: summary() and refit() methods for cross-validated objects, automatic refitting in cvSLOPE(), and a threading default reduced from half the available cores to one.

◆ Where it's heading

The arc runs rewrite, then repair, then convenience. The 1.2.0 release is the repair phase — coefficients_scaled was returning unscaled values, which silently affected every coef.SLOPE() call — and 2.0.0 onward is convenience, with refit() now working without re-supplying training data. The tag timestamps are non-monotonic: 1.0.1 is stamped a minute after 1.1.0 despite the lower version, so ordering here reflects when tags were pushed, not what superseded what.

◆ Prediction

With the cross-validation workflow now closing itself out through automatic refitting, further work is more likely to extend the summary and plotting surface than to touch the solver again.

Alternatives to ggstats and slope

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 ggstats or slope.

See all ggstats alternatives → · See all slope alternatives →

Recent activity from ggstats and slope

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

  1. 2mo agosloperefit() defaults to training data; class-mismatch scoring fixed
  2. 5mo agoggstatsgglikert_side() and total columns for Likert plots
  3. 6mo agoslopeCross-validation now refits automatically and gains summary methods
  4. 7mo agoggstatsLikert functions accept survey objects
  5. 9mo agoslopeSingle-threaded by default, interruptible, and a scaling bug fixed
  6. 9mo agoslopeM1 Mac test fix
  7. 9mo agoslopeGlioma gene expression dataset added
  8. 11mo agoggstatsTable output for ggcoef_compare(); x-axis limits harmonised
  9. 1y agoggstatsggstats 0.10.0
  10. 1y agoslopeSLOPE 1.0.0
  11. 1y agoggstatsCoefficient plots unified around ggcoef_model() with grouping
  12. 1y agoggstatsDiverging and Likert geoms redesigned; connector geoms added

Frequently asked questions

What is the difference between ggstats and slope?

Both compete on the same themes — r-package — within Analytics. ggstats and slope 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 ggstats better than slope?

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

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

What are the best alternatives to slope?

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