simlandr
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
Comparison · Analytics
effectplots vs gratia
A side-by-side editorial comparison of effectplots and gratia — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
effectplots vs gratia: at a glance
What is effectplots?
A young ALE and PDP plotting package that rebuilt its numeric core after a data-corrupting bug.
effectplots computes and plots partial dependence, ALE, and observed-versus-predicted effect curves for fitted models. It reached CRAN in November 2024 and shipped three releases in the four months after. The 0.2.0 release is the pivot: an outlier-clipping routine that silently modified the caller's data frame was fixed, the numeric path was rewritten for speed and memory, and the plotting and category-collapsing defaults were reset.
What is gratia?
The tidy front-end for GAMs, now stable enough that upstream ggplot2 sets its release calendar.
gratia wraps mgcv-fitted generalized additive models in tidy data frames and ggplot2 graphics — smooth_estimates(), fitted_values(), derivatives(), draw() and appraise() cover evaluation, prediction and diagnostics. The API reached its intended shape at 0.9.0, when every generated column was renamed to a dot-prefixed form, and 0.10.0 added conditional_values() for covariate-conditional prediction plots.
effectplots vs gratia: editorial side-by-side
effectplots
0.0ANALYTICS
A young ALE and PDP plotting package that rebuilt its numeric core after a data-corrupting bug.
◆ Current state
effectplots computes and plots partial dependence, ALE, and observed-versus-predicted effect curves for fitted models. It reached CRAN in November 2024 and shipped three releases in the four months after. The 0.2.0 release is the pivot: an outlier-clipping routine that silently modified the caller's data frame was fixed, the numeric path was rewritten for speed and memory, and the plotting and category-collapsing defaults were reset.
◆ Where it's heading
After 0.2.0 the work turns to the awkward cases - missing values on the x axis, explicit and empty factor levels, discrete grid detection. The package is also widening past a single modelling ecosystem: h2o support and tidymodels examples arrived with 0.2.0, and fcut() was exported as a fast replacement for cut(). Release notes are issue-numbered throughout, so the roadmap is effectively the issue tracker.
◆ Prediction
Expect continued default tuning around collapse_m and discrete_m plus more model-backend coverage; the cadence points to another batch of issue fixes rather than a new plot type.
gratia
0.0ANALYTICS
The tidy front-end for GAMs, now stable enough that upstream ggplot2 sets its release calendar.
◆ Current state
gratia wraps mgcv-fitted generalized additive models in tidy data frames and ggplot2 graphics — smooth_estimates(), fitted_values(), derivatives(), draw() and appraise() cover evaluation, prediction and diagnostics. The API reached its intended shape at 0.9.0, when every generated column was renamed to a dot-prefixed form, and 0.10.0 added conditional_values() for covariate-conditional prediction plots.
◆ Where it's heading
The package has moved through a long rewrite cycle and out the other side. Successive releases replaced evaluate_smooth() with smooth_estimates(), rebuilt draw() on top of it, then renamed the entire output vocabulary to avoid colliding with user variables. That work is finished; 0.11.1 is driven almost entirely by ggplot2 4.0.0 compatibility, with new mgcv family support for quantile residuals riding along. Development now tracks upstream breakage rather than internal redesign.
◆ Prediction
Expect the next releases to continue absorbing ggplot2 4.x and mgcv changes, with incremental family coverage in quantile_residuals() as the visible new work. The entries give no signal on which mgcv families come next.
Alternatives to effectplots and gratia
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 effectplots or gratia.
lavaanExtra
SEM reporting helpers converging on APA output, one CRAN resubmission at a time.
ibis.iSDM
A raster-to-terra migration is the only readable change in a feed of merge notes.
anyflights
A nycflights13 generator whose recent work is all about the data being right.
vinereg
Conditional density and log-likelihood fill out a vine copula regression package.
stringx
A drop-in string API for base R, kept alive by upstream check failures.
See all effectplots alternatives → · See all gratia alternatives →
Recent activity from effectplots and gratia
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 11mo agogratiaggplot2 4.0.0 compatibility, plus four more quantile-residual families
- 1y agoeffectplotsRare categories collapse into an 'other' level
- 1y agoeffectplotsMissing x values now plotted for numeric features
- 1y agogratiaconditional_values() replaces vis.gam for conditional prediction plots
- 1y agoeffectplotsNumeric core rewritten after an in-place data corruption fix ⚡
- 1y agoeffectplotsInitial CRAN release
- 2y agogratiaparametric_effects() joins the dot-prefix rename; LSS families begin
- 2y agogratiaEvery generated column gains a dot prefix ⚡
- 3y agogratiaReal variable names in smooth_samples(), plus dplyr 1.1.0 fixes
- 4y agogratiaM1 example output fixes and confint tibble returns
Frequently asked questions
What is the difference between effectplots and gratia?
Both compete on the same themes — r-package — within Analytics. effectplots and gratia 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 effectplots better than gratia?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. effectplots and gratia 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 effectplots?
Top effectplots alternatives in Analytics are ranked by recent ship velocity. Browse the "effectplots alternatives" section above for the current picks, or visit /alternatives/effectplots for the full list with editorial commentary on each.
What are the best alternatives to gratia?
Top gratia alternatives in Analytics are ranked by recent ship velocity. Browse the "gratia alternatives" section above for the current picks, or visit /alternatives/gratia for the full list with editorial commentary on each.