easystats
The easystats meta-package is install tooling wrapped around a relicensed ecosystem.
A side-by-side editorial comparison of billboarder and embed — release velocity, themes, recent moves, and the top alternatives to consider.
An htmlwidget whose release notes are mostly billboard.js version bumps, quiet since 2021.
billboarder wraps the billboard.js charting library as an R htmlwidget, with Shiny proxy support for live updates. Most releases restate an upstream library version; the package's own additions arrive one function at a time, such as bauge(), bb_export() and set_color_palette(). The visible history stops at v0.3.1 in May 2021.
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.
billboarder wraps the billboard.js charting library as an R htmlwidget, with Shiny proxy support for live updates. Most releases restate an upstream library version; the package's own additions arrive one function at a time, such as bauge(), bb_export() and set_color_palette(). The visible history stops at v0.3.1 in May 2021.
The package tracks billboard.js rather than leading it, and the R-side features that do appear are thin conveniences over capabilities upstream already shipped. The one directional move visible here is 0.3.0's adoption of aes()-style mapping, which pulls the API toward tidyverse conventions. Nothing since 2021 suggests that convergence continued.
If the package resumes, the pattern points to another billboard.js bump with a small Shiny helper attached; the entries show no sign of a broader API rework.
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.
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.
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.
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 billboarder or embed.
The easystats meta-package is install tooling wrapped around a relicensed ecosystem.
discrim settled into a thin engine shim after handing its model definitions to parsnip.
dbparser shed its database and CSV writers to become just a DrugBank parser.
desirability2 is making multi-metric model selection a first-class tidymodels step.
crosstalk is frozen infrastructure: four releases in five years, mostly CRAN upkeep.
cmdstanr keeps adding fast approximations beside full HMC, and fighting Windows toolchains.
See all billboarder alternatives → · See all embed alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. billboarder 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. billboarder 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.
Top billboarder alternatives in Analytics are ranked by recent ship velocity. Browse the "billboarder alternatives" section above for the current picks, or visit /alternatives/billboarder for the full list with editorial commentary on each.
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.