tidytext
Finished, widely taught, and shipping roxygen fixes.
Comparison · Analytics
haven vs mlr3cluster
A side-by-side editorial comparison of haven and mlr3cluster — release velocity, themes, recent moves, and the top alternatives to consider.
haven vs mlr3cluster: at a glance
What is haven?
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.
What is mlr3cluster?
mlr3cluster went from a handful of clusterers to covering the field
mlr3cluster supplies clustering learners to the mlr3 framework. Over three releases it added roughly a dozen learners — CLARA, k-prototypes, spectral, then a batch of nine covering finite mixtures, spherical and directional families, self-organising maps, spatio-temporal DBSCAN and robust trimmed clustering. The newest release fixes predict-time behaviour across the hierarchical learners.
haven vs mlr3cluster: editorial side-by-side
haven
0.0ANALYTICS
haven's release cadence has narrowed to compiler and R-devel upkeep.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
Expect further ReadStat sync releases triggered by compiler or R-devel breakage rather than new format support or writing features.
mlr3cluster
0.0ANALYTICS
mlr3cluster went from a handful of clusterers to covering the field
◆ Current state
mlr3cluster supplies clustering learners to the mlr3 framework. Over three releases it added roughly a dozen learners — CLARA, k-prototypes, spectral, then a batch of nine covering finite mixtures, spherical and directional families, self-organising maps, spatio-temporal DBSCAN and robust trimmed clustering. The newest release fixes predict-time behaviour across the hierarchical learners.
◆ Where it's heading
The package is at the tail end of a coverage push, and the emphasis has shifted from adding algorithms to making the ones it has behave correctly at prediction time — cutting trees at the current k, reclustering coresets, failing informatively on unsupported metric combinations. That is the normal sequence after a rapid expansion.
◆ Prediction
Expect further predict-path corrections and parameter-set alignment across the newly added learners before any more algorithms arrive.
Alternatives to haven and mlr3cluster
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 mlr3cluster.
textrecipes
Text features finally stay sparse all the way to the model.
probably
The package that made calibration a step instead of an afterthought.
workflowsets
workflowsets keeps widening what counts as a model worth comparing.
workflows
The tidymodels pipeline grew a third stage, and it happens after the model runs.
vetiver
Posit's MLOps package went quiet for two years, then came back to keep up with recipes.
See all haven alternatives → · See all mlr3cluster alternatives →
Recent activity from haven and mlr3cluster
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agomlr3clusterHierarchical learners now honour k at prediction time
- 2mo agomlr3clusterNine new clustering learners in one release ⚡
- 5mo agomlr3clusterCLARA, k-prototypes and spectral clustering learners added
- 6mo agomlr3clusterTyped error classes and probabilistic EM assignments
- 8mo agomlr3clusterHDBSCAN gains cluster_selection_epsilon
- 1y agohavenhaven 2.5.5 syncs ReadStat for stricter gcc diagnostics
- 1y agomlr3clusterMclust learner brought in line with paradox conventions
- 2y agohavenhaven 2.5.4 patches for an upcoming R-devel change
- 3y agohavenhaven 2.5.3 patches for an upcoming R-devel change
- 3y agohavenhaven 2.5.2 fixes SAS catalog reads and deprecates write_sas()
- 3y agohavenhaven 2.5.1 aligns labelled headers and fixes name repair
- 4y agohavenhaven 2.5.0 adds custom variable widths when writing files
Frequently asked questions
What is the difference between haven and mlr3cluster?
They serve adjacent needs but don't currently overlap on shipped themes. haven and mlr3cluster 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 haven better than mlr3cluster?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. haven and mlr3cluster 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 haven?
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.
What are the best alternatives to mlr3cluster?
Top mlr3cluster alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3cluster alternatives" section above for the current picks, or visit /alternatives/mlr3cluster for the full list with editorial commentary on each.