mlr3proba
mlr3proba is shedding weight as its survival work moves into sibling packages
A side-by-side editorial comparison of haven and tidyclust — release velocity, themes, recent moves, and the top alternatives to consider.
haven's release cadence has narrowed to compiler and R-devel upkeep.
haven is the tidyverse's bridge to SPSS, Stata and SAS files, wrapping the C ReadStat library. The last several releases are almost entirely maintenance: syncing vendored ReadStat and patching ahead of R-devel changes. The most recent substantive user-facing work landed in 2.5.2 and earlier.
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.
haven is the tidyverse's bridge to SPSS, Stata and SAS files, wrapping the C ReadStat library. The last several releases are almost entirely maintenance: syncing vendored ReadStat and patching ahead of R-devel changes. The most recent substantive user-facing work landed in 2.5.2 and earlier.
Development has shifted from extending the file-format surface to keeping a C dependency compiling against newer toolchains. The deprecation of write_sas() narrowed that surface deliberately, steering users to write_xpt() because the sas7bdat format is undocumented and unsupported upstream.
Expect further ReadStat sync releases triggered by compiler or R-devel breakage rather than new format support or writing features.
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.
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.
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.
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 haven or tidyclust.
mlr3proba is shedding weight as its survival work moves into sibling packages
mlr3viz keeps the ecosystem's plots working while the plots themselves move out
mlr3tuning is rebuilding its async machinery under a stable public surface
timetk swallowed anomalize whole, then went quiet for two years
modelbased is turning marginal effects into a full contrast grammar
easystats' parameters package absorbs one more model class every few weeks
See all haven alternatives → · See all tidyclust alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. haven and tidyclust 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. haven and tidyclust 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.
Top haven alternatives in Analytics are ranked by recent ship velocity. Browse the "haven alternatives" section above for the current picks, or visit /alternatives/haven for the full list with editorial commentary on each.
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.