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desirability2 vs tsibble

A side-by-side editorial comparison of desirability2 and tsibble — release velocity, themes, recent moves, and the top alternatives to consider.

desirability2 vs tsibble: at a glance

Featuredesirability2tsibble
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themestidymodels, multi-objective optimization, model selection, desirability functionstime-series, data-structures, vctrs, tidyverts
Last editorial update51m ago1h ago
WebsiteVisit →Visit →

What is desirability2?

desirability2 is making multi-metric model selection a first-class tidymodels step.

desirability2 implements desirability functions, which map several metrics onto a common 0-1 scale so they can be combined into a single objective. The package is young: three releases, the first of which only added a NEWS file. Its substance arrived in 0.1.0 with hooks into tidymodels' tune package.

Read the full desirability2 trajectory →

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.

Read the full tsibble trajectory →

desirability2 vs tsibble: editorial side-by-side

D
desirability2
ANALYTICS
0.0

desirability2 is making multi-metric model selection a first-class tidymodels step.

◆ Current state

desirability2 implements desirability functions, which map several metrics onto a common 0-1 scale so they can be combined into a single objective. The package is young: three releases, the first of which only added a NEWS file. Its substance arrived in 0.1.0 with hooks into tidymodels' tune package.

◆ Where it's heading

The direction is integration rather than standalone use. Version 0.1.0 added select_best_desirability() and show_best_desirability() to resolve a tuning run against several metrics at once; 0.2.0 exported make_desirability_cols() so other packages can build on it and made data-driven limits the default, removing the need to state ranges by hand. Both releases move work from the user into the package.

◆ Prediction

The exported helper and the developer-facing desirability() API point to adoption by other tidymodels packages as the next step rather than new functionality here.

T
tsibble
ANALYTICS
0.0

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 desirability2 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 desirability2 or tsibble.

See all desirability2 alternatives → · See all tsibble alternatives →

Recent activity from desirability2 and tsibble

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 6mo agotsibblesummary() for time classes; sequential column construction
  2. 11mo agodesirability2make_desirability_cols() exported; data-driven limits on by default
  3. 1y agodesirability2Desirability-based model selection added for tune
  4. 3y agodesirability2NEWS.md added to track package changes
  5. 6y agotsibbleInterval becomes a vctrs record type; windowing moves to slider
  6. 7y agotsibbleLifecycle badges and yearweek string parsing
  7. 7y agotsibblePatch fixes for renaming, single-row and duplicate-index cases
  8. 7y agotsibbleindex_by() groups the index; unnest_tsibble() added
  9. 7y agotsibbleMetadata overhaul folds regular into interval, ordered into index

Frequently asked questions

What is the difference between desirability2 and tsibble?

They serve adjacent needs but don't currently overlap on shipped themes. desirability2 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 desirability2 better than tsibble?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. desirability2 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 desirability2?

Top desirability2 alternatives in Analytics are ranked by recent ship velocity. Browse the "desirability2 alternatives" section above for the current picks, or visit /alternatives/desirability2 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.