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ggeffects vs vetiver

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

ggeffects vs vetiver: at a glance

Featureggeffectsvetiver
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmarginal-effects, r-stats, statistics, breaking-changesmlops, model-deployment, tidymodels, plumber
Last editorial update2h ago1h ago
WebsiteVisit →Visit →

What is ggeffects?

ggeffects hands its contrast engine to modelbased and keeps the interface

ggeffects computes and plots marginal effects for a long tail of R model classes. Its recent line has two threads: steadily broadening model support and argument surface, and repeatedly absorbing breaking changes from the packages it computes on top of. In 2.2.0 it stopped absorbing them and delegated test_predictions() and johnson_neyman() to modelbased instead.

Read the full ggeffects trajectory →

What is vetiver?

Posit's MLOps package went quiet for two years, then came back to keep up with recipes.

vetiver versions, deploys and monitors models: it pins a model, generates a plumber API around it, and writes the Dockerfile to run it. The visible release stream is bug fixes to plumber file generation, one prototype endpoint, and then a two-year gap between 0.2.5 in November 2023 and 0.2.6 in October 2025. The two releases since that gap are compatibility work — recipes' new input data prototype, support for probably, and all versions of xgboost.

Read the full vetiver trajectory →

ggeffects vs vetiver: editorial side-by-side

G
ggeffects
ANALYTICS
0.0

ggeffects hands its contrast engine to modelbased and keeps the interface

◆ Current state

ggeffects computes and plots marginal effects for a long tail of R model classes. Its recent line has two threads: steadily broadening model support and argument surface, and repeatedly absorbing breaking changes from the packages it computes on top of. In 2.2.0 it stopped absorbing them and delegated test_predictions() and johnson_neyman() to modelbased instead.

◆ Where it's heading

The package is settling into a front-end role — a consistent predict_response() interface over other people's estimation engines — rather than owning the computation itself. The 2.x releases also show a pattern of removing deprecated arguments and clarifying mixed-model semantics, so the interface is being tightened as the backend is outsourced.

◆ Prediction

Expect the features lost in the modelbased handover to return as that package's contrast and slope estimation matures, rather than being reimplemented locally.

V
vetiver
ANALYTICS
0.0

Posit's MLOps package went quiet for two years, then came back to keep up with recipes.

◆ Current state

vetiver versions, deploys and monitors models: it pins a model, generates a plumber API around it, and writes the Dockerfile to run it. The visible release stream is bug fixes to plumber file generation, one prototype endpoint, and then a two-year gap between 0.2.5 in November 2023 and 0.2.6 in October 2025. The two releases since that gap are compatibility work — recipes' new input data prototype, support for probably, and all versions of xgboost.

◆ Where it's heading

The feature era ended before this window opened. Deploying to SageMaker, generating Docker files, storing renv lockfiles in model metadata and supporting keras, luz and recipes all landed in 0.2.1 and 0.2.2; nothing since has extended what vetiver does. What it does now is track the rest of tidymodels — when recipes gains a prototype API or probably becomes something a workflow can contain, vetiver adds a line. That is a package holding its position rather than advancing it.

◆ Prediction

The entries do not support a confident prediction of new capability. On this pattern the next release tracks another tidymodels change, most likely the postprocessing stage that workflows added in 1.3.0.

Alternatives to ggeffects and vetiver

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 ggeffects or vetiver.

See all ggeffects alternatives → · See all vetiver alternatives →

Recent activity from ggeffects and vetiver

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

  1. 8mo agovetiverSupport all versions of xgboost
  2. 9mo agovetiverFirst release in two years catches up with recipes and probably
  3. 1y agoggeffectsggeffects delegates contrasts and slopes to modelbased
  4. 1y agoggeffectsFive focal terms and formula-based contrast tests
  5. 1y agoggeffectsMixed-model predictions split type from interval
  6. 1y agoggeffectsBias correction for back-transformed mixed-model predictions
  7. 1y agoggeffectsSupport for WeightIt model classes
  8. 2y agoggeffectsglmgee support and vcov controls for ggemmeans()
  9. 2y agovetiverFix plumber file generation bug
  10. 2y agovetiverFix plumber generation for board_url() pins
  11. 3y agovetivervetiver 0.2.3
  12. 3y agovetiverModels expose their input prototype over HTTP

Frequently asked questions

What is the difference between ggeffects and vetiver?

They serve adjacent needs but don't currently overlap on shipped themes. ggeffects and vetiver 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 ggeffects better than vetiver?

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

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

What are the best alternatives to vetiver?

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