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desirability2 vs yardstick

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

Shared themes:tidymodels

desirability2 vs yardstick: at a glance

Featuredesirability2yardstick
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themestidymodels, multi-objective optimization, model selection, desirability functionsmetrics, tidymodels, fairness, survival-analysis
Last editorial update52m 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 yardstick?

yardstick made fairness metrics a first-class part of tidymodels evaluation

yardstick supplies the metrics tidymodels evaluates models with. Its recent history is metric expansion into areas the package did not originally cover - survival analysis, model fairness, and in 1.4.0 a batch of regression and classification metrics filling remaining gaps - alongside a long deprecation cycle that finally turned errors on in 1.4.0.

Read the full yardstick trajectory →

desirability2 vs yardstick: 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.

Y
yardstick
ANALYTICS
0.0

yardstick made fairness metrics a first-class part of tidymodels evaluation

◆ Current state

yardstick supplies the metrics tidymodels evaluates models with. Its recent history is metric expansion into areas the package did not originally cover - survival analysis, model fairness, and in 1.4.0 a batch of regression and classification metrics filling remaining gaps - alongside a long deprecation cycle that finally turned errors on in 1.4.0.

◆ Where it's heading

The direction is coverage plus extensibility. Rather than adding fairness metrics one at a time, 1.3.0 shipped new_groupwise_metric() so group-aware metrics can be defined for the problem at hand, which is the more durable contribution. The parallel thread is removing hidden state: the event_first global option, deprecated in 0.0.7, took until 1.4.0 to become an error.

◆ Prediction

Expect the groupwise constructor to attract more fairness definitions than the three shipped, and the developer-facing metric creation helpers deprecated in 1.2.0 to be removed next; core metric coverage now looks close to complete.

Alternatives to desirability2 and yardstick

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 yardstick.

See all desirability2 alternatives → · See all yardstick alternatives →

Recent activity from desirability2 and yardstick

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

  1. 4mo agoyardstickAdds Gini, MSE and rate metrics; old deprecations now error
  2. 11mo agodesirability2make_desirability_cols() exported; data-driven limits on by default
  3. 1y agodesirability2Desirability-based model selection added for tune
  4. 1y agoyardstickAll messages translated to cli
  5. 2y agoyardstickFixes wrong weights in roc_curve_survival()
  6. 2y agoyardstickFairness metrics and a groupwise metric constructor
  7. 3y agodesirability2NEWS.md added to track package changes
  8. 3y agoyardstickBrier score for classification; tidyselect interface throughout
  9. 3y agoyardstickNew maintainer; clearer metric_set() errors

Frequently asked questions

What is the difference between desirability2 and yardstick?

Both compete on the same themes — tidymodels — within Analytics. desirability2 and yardstick 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 yardstick?

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

Top yardstick alternatives in Analytics are ranked by recent ship velocity. Browse the "yardstick alternatives" section above for the current picks, or visit /alternatives/yardstick for the full list with editorial commentary on each.