tidytext
Finished, widely taught, and shipping roxygen fixes.
Comparison · Analytics
crosstalk vs mlr3cluster
A side-by-side editorial comparison of crosstalk and mlr3cluster — release velocity, themes, recent moves, and the top alternatives to consider.
crosstalk vs mlr3cluster: at a glance
What is crosstalk?
crosstalk is frozen infrastructure: four releases in five years, mostly CRAN upkeep.
crosstalk provides the shared-selection and filtering layer that lets independent htmlwidgets communicate on a page without Shiny. Its visible history is four releases across five years, one of which made a substantive change and three of which were fixes. The most recent exists only to clear an R CMD check NOTE.
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.
crosstalk vs mlr3cluster: editorial side-by-side
crosstalk
0.0ANALYTICS
crosstalk is frozen infrastructure: four releases in five years, mostly CRAN upkeep.
◆ Current state
crosstalk provides the shared-selection and filtering layer that lets independent htmlwidgets communicate on a page without Shiny. Its visible history is four releases across five years, one of which made a substantive change and three of which were fixes. The most recent exists only to clear an R CMD check NOTE.
◆ Where it's heading
The package is finished in the sense that matters: it does one thing, widget authors depend on it, and it changes when R or CRAN forces it to. The single directional move here is 1.2.0 dropping the bundled Bootstrap dependency so crosstalk stops imposing a CSS framework on the pages that embed it. Nothing since suggests further design work.
◆ Prediction
The next release is most likely another CRAN-compliance fix; the entries show no feature work in progress.
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 crosstalk 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 crosstalk 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 crosstalk alternatives → · See all mlr3cluster alternatives →
Recent activity from crosstalk 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
- 11mo agocrosstalkRd link anchors fixed for R CMD check
- 1y agomlr3clusterMclust learner brought in line with paradox conventions
- 2y agocrosstalkFixes for SharedData in Shiny modules and filter escaping
- 4y agocrosstalkBootstrap dependency dropped from filter and layout helpers
- 6y agocrosstalkClearer error when Shiny is not installed
Frequently asked questions
What is the difference between crosstalk and mlr3cluster?
They serve adjacent needs but don't currently overlap on shipped themes. crosstalk 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 crosstalk better than mlr3cluster?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. crosstalk 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 crosstalk?
Top crosstalk alternatives in Analytics are ranked by recent ship velocity. Browse the "crosstalk alternatives" section above for the current picks, or visit /alternatives/crosstalk 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.