billboarder
An htmlwidget whose release notes are mostly billboard.js version bumps, quiet since 2021.
Comparison · Analytics
embed vs tsibble
A side-by-side editorial comparison of embed and tsibble — release velocity, themes, recent moves, and the top alternatives to consider.
embed vs tsibble: at a glance
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.
What is tsibble?
tsibble shipped one release in five and a half years - the data structure is finished
tsibble defines the tidy time-series data structure that fable and feasts are built on. The design churned heavily through 2018 and 2019, settled with the 0.9.0 move onto vctrs in mid-2020, and then went quiet: the next release, 1.2.0, arrived in February 2026 with a summary() method and some tidyselect helpers.
embed vs tsibble: editorial side-by-side
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.
tsibble
0.0ANALYTICS
tsibble shipped one release in five and a half years - the data structure is finished
◆ Current state
tsibble defines the tidy time-series data structure that fable and feasts are built on. The design churned heavily through 2018 and 2019, settled with the 0.9.0 move onto vctrs in mid-2020, and then went quiet: the next release, 1.2.0, arrived in February 2026 with a summary() method and some tidyselect helpers.
◆ Where it's heading
This is a package that reached its final shape and stopped. The early releases are a rapid sequence of breaking changes to the key and interval metadata, each one warning that previously stored objects are corrupt; once the interval became a formal vctrs record type there was nothing structural left to change. The five-year gap is the trajectory, not a lapse.
◆ Prediction
Expect further releases to be small compatibility and convenience additions at long intervals; with the type system settled and windowing delegated to slider, there is no visible pressure for another breaking change.
Alternatives to embed and tsibble
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 embed or tsibble.
bbotk
bbotk is generalizing from an optimizer toolkit into an evaluation framework.
bayesplot
bayesplot keeps widening its posterior-check catalogue while absorbing each ggplot2 break.
animation
Contribution-driven maintenance on a package whose last structural change was magick support.
pins
pins keeps adding a storage backend per release while retiring its original API
yardstick
yardstick made fairness metrics a first-class part of tidymodels evaluation
See all embed alternatives → · See all tsibble alternatives →
Recent activity from embed and tsibble
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 6mo agotsibblesummary() for time classes; sequential column construction
- 6mo agoembedstep_umap() zero-component bug fixed
- 8mo agoembedCompatibility with all xgboost versions
- 11mo agoembedstep_lencode() adds analytical likelihood encoding with pooling
- 1y agoembedUMAP initial and target_weight become tunable
- 2y agoembedkeras and tensorflow moved to Suggests
- 2y agoembedstep_collapse_stringdist() returns factors
- 6y agotsibbleInterval becomes a vctrs record type; windowing moves to slider ⚡
- 7y agotsibbleLifecycle badges and yearweek string parsing
- 7y agotsibblePatch fixes for renaming, single-row and duplicate-index cases
- 7y agotsibbleindex_by() groups the index; unnest_tsibble() added
- 7y agotsibbleMetadata overhaul folds regular into interval, ordered into index
Frequently asked questions
What is the difference between embed and tsibble?
They serve adjacent needs but don't currently overlap on shipped themes. embed and tsibble 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 embed better than tsibble?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. embed and tsibble 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 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.
What are the best alternatives to tsibble?
Top tsibble alternatives in Analytics are ranked by recent ship velocity. Browse the "tsibble alternatives" section above for the current picks, or visit /alternatives/tsibble for the full list with editorial commentary on each.