mlr3proba
mlr3proba is shedding weight as its survival work moves into sibling packages
Comparison · Analytics
tidypredict vs vetiver
A side-by-side editorial comparison of tidypredict and vetiver — release velocity, themes, recent moves, and the top alternatives to consider.
tidypredict vs vetiver: at a glance
What is tidypredict?
tidypredict now translates the gradient-boosting libraries people actually deploy
tidypredict converts fitted R models into SQL and dplyr expressions so predictions can run inside a database instead of in R. The 1.1.0 release added rpart, CatBoost, and LightGBM, with full objective and tree-type coverage for the boosted models. That followed 1.0.0, which broke random-forest output into a single formula, added glmnet, and cut fit-translation time for xgboost, partykit, and ranger.
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.
tidypredict vs vetiver: editorial side-by-side
tidypredict
0.0ANALYTICS
tidypredict now translates the gradient-boosting libraries people actually deploy
◆ Current state
tidypredict converts fitted R models into SQL and dplyr expressions so predictions can run inside a database instead of in R. The 1.1.0 release added rpart, CatBoost, and LightGBM, with full objective and tree-type coverage for the boosted models. That followed 1.0.0, which broke random-forest output into a single formula, added glmnet, and cut fit-translation time for xgboost, partykit, and ranger.
◆ Where it's heading
The package's value scales directly with how many model types it can translate, and the recent work has concentrated on the tree ensembles that dominate tabular modelling in practice. Coverage now extends past what parsnip wraps, since raw CatBoost models are supported alongside parsnip and bonsai ones with an explicit escape hatch for categorical features. Performance work on the translation step suggests the models being converted have grown large enough for that to matter.
◆ Prediction
With the major boosting libraries covered, the remaining gap is what happens to preprocessing, so tighter integration with recipes or orbital for translating whole workflows is the natural next step.
vetiver
0.0ANALYTICS
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 tidypredict 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 tidypredict or vetiver.
mlr3viz
mlr3viz keeps the ecosystem's plots working while the plots themselves move out
mlr3tuning
mlr3tuning is rebuilding its async machinery under a stable public surface
timetk
timetk swallowed anomalize whole, then went quiet for two years
modelbased
modelbased is turning marginal effects into a full contrast grammar
parameters
easystats' parameters package absorbs one more model class every few weeks
See all tidypredict alternatives → · See all vetiver alternatives →
Recent activity from tidypredict and vetiver
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 5mo agotidypredicttidypredict 1.1.0 adds CatBoost, LightGBM, and rpart support ⚡
- 8mo agotidypredicttidypredict 1.0.1 fixes base_score extraction for xgboost 3
- 8mo agovetiverSupport all versions of xgboost
- 8mo agotidypredicttidypredict 1.0.0 unifies random forest output and adds glmnet
- 9mo agovetiverFirst release in two years catches up with recipes and probably
- 1y agotidypredicttidypredict 0.5.1 exports internals for the orbital package
- 2y agovetiverFix plumber file generation bug
- 2y agovetiverFix plumber generation for board_url() pins
- 3y agovetivervetiver 0.2.3
- 3y agovetiverModels expose their input prototype over HTTP
- 3y agotidypredicttidypredict 0.5 hands maintenance to a new maintainer
- 4y agotidypredicttidypredict 0.4.9 relicenses to MIT and fixes SQL generation
Frequently asked questions
What is the difference between tidypredict and vetiver?
They serve adjacent needs but don't currently overlap on shipped themes. tidypredict 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 tidypredict better than vetiver?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. tidypredict 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 tidypredict?
Top tidypredict alternatives in Analytics are ranked by recent ship velocity. Browse the "tidypredict alternatives" section above for the current picks, or visit /alternatives/tidypredict 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.