mlr3mbo
mlr3mbo picked its defaults from a benchmark study, not from taste
Comparison · Analytics
crosstalk vs embed
A side-by-side editorial comparison of crosstalk and embed — release velocity, themes, recent moves, and the top alternatives to consider.
crosstalk vs embed: 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 embed?
embed keeps adding encoding steps while shedding its deep-learning dependencies
embed supplies recipes steps that turn categorical predictors into numeric representations — likelihood encoding, UMAP projection, string-distance collapsing. The 1.1.x line made UMAP arguments tunable and moved keras and tensorflow out of hard dependencies; 1.2.0 added analytical likelihood encoding with partial pooling and retired step_feature_hash() in favor of textrecipes.
crosstalk vs embed: 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.
embed
0.0ANALYTICS
embed keeps adding encoding steps while shedding its deep-learning dependencies
◆ Current state
embed supplies recipes steps that turn categorical predictors into numeric representations — likelihood encoding, UMAP projection, string-distance collapsing. The 1.1.x line made UMAP arguments tunable and moved keras and tensorflow out of hard dependencies; 1.2.0 added analytical likelihood encoding with partial pooling and retired step_feature_hash() in favor of textrecipes.
◆ Where it's heading
Two quiet directions run through these releases. One is making the steps tunable rather than fixed, so they participate properly in tidymodels grids. The other is boundary maintenance: heavy dependencies pushed to Suggests, overlapping steps handed to the package that owns them. Recent releases are thin and fix-driven.
◆ Prediction
Expect further consolidation with textrecipes over which package owns which encoding step, and continued upkeep against xgboost and uwot releases rather than new step families.
Alternatives to crosstalk and embed
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 embed.
loo
loo keeps rewriting the diagnostics Bayesian modellers read off model comparison
mlr3fselect
mlr3fselect turned feature selection into an asynchronous, distributable job
lime
lime survives on compatibility patches years after its research moment
mlr3measures
mlr3measures is systematically retrofitting sample weights across every metric
mlr3cluster
mlr3cluster went from a handful of clusterers to covering the field
See all crosstalk alternatives → · See all embed alternatives →
Recent activity from crosstalk and embed
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 6mo agoembedstep_umap() zero-component bug fixed
- 8mo agoembedCompatibility with all xgboost versions
- 11mo agoembedstep_lencode() adds analytical likelihood encoding with pooling
- 11mo agocrosstalkRd link anchors fixed for R CMD check
- 1y agoembedUMAP initial and target_weight become tunable
- 2y agoembedkeras and tensorflow moved to Suggests
- 2y agocrosstalkFixes for SharedData in Shiny modules and filter escaping
- 2y agoembedstep_collapse_stringdist() returns factors
- 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 embed?
They serve adjacent needs but don't currently overlap on shipped themes. crosstalk and embed 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 embed?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. crosstalk and embed 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 embed?
Top embed alternatives in Analytics are ranked by recent ship velocity. Browse the "embed alternatives" section above for the current picks, or visit /alternatives/embed for the full list with editorial commentary on each.