mlr3proba
mlr3proba is shedding weight as its survival work moves into sibling packages
Comparison · Analytics
tidyclust vs vetiver
A side-by-side editorial comparison of tidyclust and vetiver — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:tidymodels
tidyclust vs vetiver: at a glance
What is tidyclust?
tidyclust just tripled the model types it can fit, and handed finalization back to tune
tidyclust brings clustering into the tidymodels interface, and 0.3.0 was the release where its model coverage stopped being k-means and hierarchical clustering. DBSCAN and HDBSCAN, Gaussian mixtures, and mean shift all arrived at once as proper clustering specifications. The two releases since have been bug fixes on the metric and sparse-data paths, which is the usual pattern after a large surface addition.
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.
tidyclust vs vetiver: editorial side-by-side
tidyclust
0.0ANALYTICS
tidyclust just tripled the model types it can fit, and handed finalization back to tune
◆ Current state
tidyclust brings clustering into the tidymodels interface, and 0.3.0 was the release where its model coverage stopped being k-means and hierarchical clustering. DBSCAN and HDBSCAN, Gaussian mixtures, and mean shift all arrived at once as proper clustering specifications. The two releases since have been bug fixes on the metric and sparse-data paths, which is the usual pattern after a large surface addition.
◆ Where it's heading
The package is converging with the rest of tidymodels rather than maintaining a parallel API: finalize_model_tidyclust() and finalize_workflow_tidyclust() are deprecated because tune::finalize_model() and tune::finalize_workflow() now handle cluster_spec objects natively. That removes the last place where clustering needed its own version of a shared verb. With density-based and model-based clustering now present, the interface has to cover model families with genuinely different assumptions than the centroid methods it started with.
◆ Prediction
The recent fixes to cluster_metric_set() labeling and custom-metric authoring suggest evaluation is the current focus, so metrics suited to density-based clusters are the likely next addition.
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 tidyclust 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 tidyclust 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 tidyclust alternatives → · See all vetiver alternatives →
Recent activity from tidyclust and vetiver
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agotidyclusttidyclust 0.3.2 fixes k_means() on sparse predictors
- 1mo agotidyclusttidyclust 0.3.1 stops same-named metrics silently merging
- 2mo agotidyclusttidyclust 0.3.0 adds DBSCAN, Gaussian mixture, and mean shift models ⚡
- 8mo agovetiverSupport all versions of xgboost
- 9mo agovetiverFirst release in two years catches up with recipes and probably
- 1y agotidyclusttidyclust 0.2.4 switches distance calculations to philentropy
- 2y agotidyclusttidyclust 0.2.3 resolves a clustMixType reverse-dependency issue
- 2y agotidyclusttidyclust 0.2.2 resolves a ClusterR reverse-dependency issue
- 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
Frequently asked questions
What is the difference between tidyclust and vetiver?
Both compete on the same themes — tidymodels — within Analytics. tidyclust 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 tidyclust better than vetiver?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. tidyclust 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 tidyclust?
Top tidyclust alternatives in Analytics are ranked by recent ship velocity. Browse the "tidyclust alternatives" section above for the current picks, or visit /alternatives/tidyclust 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.