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desirability2 vs loo

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

desirability2 vs loo: at a glance

Featuredesirability2loo
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themestidymodels, multi-objective optimization, model selection, desirability functionsbayesian, cross-validation, stan, r-stats
Last editorial update2h 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 loo?

loo keeps rewriting the diagnostics Bayesian modellers read off model comparison

loo computes leave-one-out cross-validation and model comparison for Bayesian models in the Stan ecosystem. Two releases in this window changed what users actually read: 2.7.0 replaced the fixed Pareto-k thresholds with sample-size-dependent ones and dropped the middle category, and 2.10.0 reshaped loo_compare's output into a data.frame with new uncertainty columns. The releases between are diagnostic robustness fixes and moment-matching corrections.

Read the full loo trajectory →

desirability2 vs loo: 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.

L
loo
ANALYTICS
2.5

loo keeps rewriting the diagnostics Bayesian modellers read off model comparison

◆ Current state

loo computes leave-one-out cross-validation and model comparison for Bayesian models in the Stan ecosystem. Two releases in this window changed what users actually read: 2.7.0 replaced the fixed Pareto-k thresholds with sample-size-dependent ones and dropped the middle category, and 2.10.0 reshaped loo_compare's output into a data.frame with new uncertainty columns. The releases between are diagnostic robustness fixes and moment-matching corrections.

◆ Where it's heading

The package is being brought in line with the current PSIS literature rather than extended with new features, and the practical effect is that the numbers practitioners quote in papers keep changing meaning. Work is increasingly delegated to posterior for shared computations, and the project has added contributor process, benchmarks and a published AI contribution policy.

◆ Prediction

Expect further work on comparison diagnostics — the p_worse and diag_* columns are new enough that their defaults and documentation will likely be revised next.

Alternatives to desirability2 and loo

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 loo.

See all desirability2 alternatives → · See all loo alternatives →

Recent activity from desirability2 and loo

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

  1. 20d agoloopsis_smooth_tail revert and simplify arg restored
  2. 1mo agolooloo_compare returns a data.frame with new uncertainty columns
  3. 7mo agolooStacking overflow fixes and posterior-based ESS
  4. 11mo agodesirability2make_desirability_cols() exported; data-driven limits on by default
  5. 1y agodesirability2Desirability-based model selection added for tune
  6. 2y agolooMore robust Pareto-k diagnostics and moment matching
  7. 2y agolooPareto-k thresholds now depend on sample size
  8. 3y agodesirability2NEWS.md added to track package changes
  9. 3y agolooLOO predictive metrics and CRPS scoring functions

Frequently asked questions

What is the difference between desirability2 and loo?

They serve adjacent needs but don't currently overlap on shipped themes. loo is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is desirability2 better than loo?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. loo is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. 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 loo?

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