Potential landscape tooling settling onto standard R generics after two rounds of renaming.
gratia alternatives
The best gratia alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 17, 2026
Looking for the best alternatives to gratia? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, gratia shipped 0 meaningful updates in the last 30 days and carries a velocity score of 0.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About 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.
Velocity 0.0 · Last update 1h ago
Top 12 alternatives to gratia
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
SEM reporting helpers converging on APA output, one CRAN resubmission at a time.
A raster-to-terra migration is the only readable change in a feed of merge notes.
A nycflights13 generator whose recent work is all about the data being right.
Conditional density and log-likelihood fill out a vine copula regression package.
A drop-in string API for base R, kept alive by upstream check failures.
From a bundled hospital dataset to a live CMS API client.
Split out of quanteda, then quiet - one new classifier since 2020.
The 1.x line, tagged retroactively after a decade of SoilProfileCollection redesign.
Spline bases built to interoperate: periodic B-splines and an nsk-compatible natural basis.
A young ALE and PDP plotting package that rebuilt its numeric core after a data-corrupting bug.
Vine copula CDFs arrive; everything else is compile hygiene and boundary fixes.
gratia vs alternatives — shipping velocity at a glance
Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| gratia (baseline) | 0.0 | 0 | gammgcvggplot2 | Every generated column gains a dot prefix |
| simlandr | 0.0 | 0 | r-packagedynamical-systemsvisualization | — |
| lavaanExtra | 0.0 | 0 | r-packagestructural-equation-modelinglavaan | — |
| ibis.iSDM | 0.0 | 0 | r-packagespecies-distribution-modelsterra | raster replaced by terra across the package |
| anyflights | 0.0 | 0 | r-packageaviation-datateaching-datasets | — |
| vinereg | 0.0 | 0 | r-packagecopulasregression | — |
| stringx | 0.0 | 0 | r-packagestringsunicode | — |
| healthyR.data | 0.0 | 0 | r-packagehealthcare-datacms | Metadata lookup and generic CMS fetchers replace bundled data |
| quanteda.textmodels | 0.0 | 0 | r-packagetext-classificationnlp | Logistic regression classifier added; svmlin rewritten in C++ |
| aqp | 0.0 | 0 | r-packagesoil-sciences4-classes | Core class methods renamed and pruned ahead of 2.0 |
| splines2 | 0.0 | 0 | r-packagesplinesrcpp | Periodic B-splines, nsk(), and a basis conversion matrix |
| effectplots | 0.0 | 0 | r-packagemodel-interpretabilityale | Numeric core rewritten after an in-place data corruption fix |
| vinecopula | 0.0 | 0 | r-packagecopulasstatistics | — |
The 12 best gratia alternatives, in depth
1. simlandr · velocity 0.0
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where gratia leans on gam, mgcv and ggplot2, simlandr focuses on r package, dynamical systems and visualization.
simlandr and gratia have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
2. lavaanExtra · velocity 0.0
SEM reporting helpers converging on APA output, one CRAN resubmission at a time.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where gratia leans on gam, mgcv and ggplot2, lavaanExtra focuses on r package, structural equation modeling and lavaan.
lavaanExtra and gratia have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full lavaanExtra trajectory → · Compare gratia vs lavaanExtra →
3. ibis.iSDM · velocity 0.0
A raster-to-terra migration is the only readable change in a feed of merge notes.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “raster replaced by terra across the package”.
Where gratia leans on gam, mgcv and ggplot2, ibis.iSDM focuses on r package, species distribution models and terra.
ibis.iSDM and gratia have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
4. anyflights · velocity 0.0
A nycflights13 generator whose recent work is all about the data being right.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where gratia leans on gam, mgcv and ggplot2, anyflights focuses on r package, aviation data and teaching datasets.
anyflights and gratia have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full anyflights trajectory → · Compare gratia vs anyflights →
5. vinereg · velocity 0.0
Conditional density and log-likelihood fill out a vine copula regression package.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where gratia leans on gam, mgcv and ggplot2, vinereg focuses on r package, copulas and regression.
vinereg and gratia have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
6. stringx · velocity 0.0
A drop-in string API for base R, kept alive by upstream check failures.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where gratia leans on gam, mgcv and ggplot2, stringx focuses on r package, strings and unicode.
stringx and gratia have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
7. healthyR.data · velocity 0.0
From a bundled hospital dataset to a live CMS API client.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Metadata lookup and generic CMS fetchers replace bundled data”.
Where gratia leans on gam, mgcv and ggplot2, healthyR.data focuses on r package, healthcare data and cms.
healthyR.data and gratia have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full healthyR.data trajectory → · Compare gratia vs healthyR.data →
8. quanteda.textmodels · velocity 0.0
Split out of quanteda, then quiet - one new classifier since 2020.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Logistic regression classifier added; svmlin rewritten in C++”.
Where gratia leans on gam, mgcv and ggplot2, quanteda.textmodels focuses on r package, text classification and nlp.
quanteda.textmodels and gratia have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full quanteda.textmodels trajectory → · Compare gratia vs quanteda.textmodels →
9. aqp · velocity 0.0
The 1.x line, tagged retroactively after a decade of SoilProfileCollection redesign.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Core class methods renamed and pruned ahead of 2.0”.
Where gratia leans on gam, mgcv and ggplot2, aqp focuses on r package, soil science and s4 classes.
aqp and gratia have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
10. splines2 · velocity 0.0
Spline bases built to interoperate: periodic B-splines and an nsk-compatible natural basis.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Periodic B-splines, nsk(), and a basis conversion matrix”.
Where gratia leans on gam, mgcv and ggplot2, splines2 focuses on r package, splines and rcpp.
splines2 and gratia have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
11. effectplots · velocity 0.0
A young ALE and PDP plotting package that rebuilt its numeric core after a data-corrupting bug.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Numeric core rewritten after an in-place data corruption fix”.
Where gratia leans on gam, mgcv and ggplot2, effectplots focuses on r package, model interpretability and ale.
effectplots and gratia have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full effectplots trajectory → · Compare gratia vs effectplots →
12. vinecopula · velocity 0.0
Vine copula CDFs arrive; everything else is compile hygiene and boundary fixes.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where gratia leans on gam, mgcv and ggplot2, vinecopula focuses on r package, copulas and statistics.
vinecopula and gratia have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full vinecopula trajectory → · Compare gratia vs vinecopula →
Frequently asked questions
What are the best alternatives to gratia?
The top gratia alternatives we currently track in analytics tools are simlandr, lavaanExtra, ibis.iSDM, anyflights, vinereg, ranked by recent ship velocity.
How is this list of gratia alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare gratia directly with one of these alternatives?
Yes — every card has a "Compare with gratia" link to a side-by-side /compare page.