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gratia vs ibis.iSDM

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

Shared themes:r-package

gratia vs ibis.iSDM: at a glance

Featuregratiaibis.iSDM
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesgam, mgcv, ggplot2, statistical-graphicsr-package, species-distribution-models, terra, spatial
Last editorial update2h ago56m ago
WebsiteVisit →Visit →

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 →

What is ibis.iSDM?

A raster-to-terra migration is the only readable change in a feed of merge notes.

ibis.iSDM fits integrated species distribution models in R. Its release notes are GitHub's auto-generated pull-request lists, so most tags say only which branch was merged and by whom. The one release with a written note, 0.0.5, records the migration from raster to terra across the whole package, with an explicit warning that established code may break.

Read the full ibis.iSDM trajectory →

gratia vs ibis.iSDM: editorial side-by-side

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.

I
ibis.iSDM
ANALYTICS
0.0

A raster-to-terra migration is the only readable change in a feed of merge notes.

◆ Current state

ibis.iSDM fits integrated species distribution models in R. Its release notes are GitHub's auto-generated pull-request lists, so most tags say only which branch was merged and by whom. The one release with a written note, 0.0.5, records the migration from raster to terra across the whole package, with an explicit warning that established code may break.

◆ Where it's heading

Direction cannot be read from this feed with any confidence - three of the four visible tags carry nothing beyond merge titles and a full-changelog link. What is visible is a 2023 spent on dependency modernisation and dev-branch merges, ending with a 0.1.1 tag that December and nothing since.

◆ Prediction

These entries do not support a prediction; the notes would have to carry written content before a direction could be read from them.

Alternatives to gratia and ibis.iSDM

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 gratia or ibis.iSDM.

See all gratia alternatives → · See all ibis.iSDM alternatives →

Recent activity from gratia and ibis.iSDM

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 agogratiaconditional_values() replaces vis.gam for conditional prediction plots
  3. 2y agogratiaparametric_effects() joins the dot-prefix rename; LSS families begin
  4. 2y agogratiaEvery generated column gains a dot prefix
  5. 2y agoibis.iSDMVersion 0.1.1
  6. 3y agoibis.iSDMVersion 0.0.7
  7. 3y agoibis.iSDMVersion 0.0.6
  8. 3y agoibis.iSDMraster replaced by terra across the package
  9. 3y agogratiaReal variable names in smooth_samples(), plus dplyr 1.1.0 fixes
  10. 4y agogratiaM1 example output fixes and confint tibble returns

Frequently asked questions

What is the difference between gratia and ibis.iSDM?

Both compete on the same themes — r-package — within Analytics. gratia and ibis.iSDM 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 gratia better than ibis.iSDM?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. gratia and ibis.iSDM 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 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.

What are the best alternatives to ibis.iSDM?

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