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ggtrace vs gratia

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

Shared themes:ggplot2r-package

ggtrace vs gratia: at a glance

Featureggtracegratia
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2, debugging, ggproto, developer-toolinggam, mgcv, ggplot2, statistical-graphics
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is ggtrace?

A debugger for ggplot2's internals, hardening its grip as the internals it traces keep moving.

ggtrace lets users step inside ggplot2's rendering pipeline — tracing ggproto methods, dumping intermediate state, and snapshotting layer data at each stage via layer_before_stat(), layer_after_stat(), layer_before_geom() and layer_after_scale(). The workflow functions gained short aliases at 0.7.1, and recent releases have gone into making method resolution work on ggproto definitions written in forms the tracer did not originally expect.

Read the full ggtrace trajectory →

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.

Read the full gratia trajectory →

ggtrace vs gratia: editorial side-by-side

G
ggtrace
ANALYTICS
0.0

A debugger for ggplot2's internals, hardening its grip as the internals it traces keep moving.

◆ Current state

ggtrace lets users step inside ggplot2's rendering pipeline — tracing ggproto methods, dumping intermediate state, and snapshotting layer data at each stage via layer_before_stat(), layer_after_stat(), layer_before_geom() and layer_after_scale(). The workflow functions gained short aliases at 0.7.1, and recent releases have gone into making method resolution work on ggproto definitions written in forms the tracer did not originally expect.

◆ Where it's heading

The package matured from raw tracing primitives into named workflows: 0.6.0 added the sublayer snapshot functions and error-context helpers, 0.7.x has been sanding down how reliably those workflows find and evaluate a method. Three consecutive releases in May 2025, two of them minutes apart, all address the same class of failure — one-liner ggproto methods without braces, and inheritance resolution on instances rather than subclasses. That pattern says the remaining bugs are in method introspection, not in the tracing machinery itself.

◆ Prediction

Expect continued fixes to method resolution as ggplot2's ggproto definitions vary, and realignment work when ggplot2 4.x changes internals this package deliberately reaches into. The entries do not signal new workflow functions.

G
gratia
ANALYTICS
0.0

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 ggtrace 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 ggtrace or gratia.

See all ggtrace alternatives → · See all gratia alternatives →

Recent activity from ggtrace and gratia

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

  1. 11mo agogratiaggplot2 4.0.0 compatibility, plus four more quantile-residual families
  2. 1y agoggtraceBrace-less one-liner methods traced gracefully
  3. 1y agoggtraceget_method_inheritance() fixed for class instances
  4. 1y agoggtraceWorkflow functions recognise one-liner ggproto methods
  5. 1y agoggtraceEager layer_is(), clearer method-mismatch errors, consistent tracedump names
  6. 1y agogratiaconditional_values() replaces vis.gam for conditional prediction plots
  7. 1y agoggtracetrace_steps = "all" added; double-evaluation side effects fixed
  8. 1y agoggtracelayer_is() targets by_layer() downstream directly
  9. 2y agogratiaparametric_effects() joins the dot-prefix rename; LSS families begin
  10. 2y agogratiaEvery generated column gains a dot prefix
  11. 3y agogratiaReal variable names in smooth_samples(), plus dplyr 1.1.0 fixes
  12. 4y agogratiaM1 example output fixes and confint tibble returns

Frequently asked questions

What is the difference between ggtrace and gratia?

Both compete on the same themes — ggplot2, r-package — within Analytics. ggtrace 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 ggtrace better than gratia?

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

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