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Comparison · Analytics

tune vs yardstick

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

Shared themes:tidymodels

tune vs yardstick: at a glance

Featuretuneyardstick
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themeshyperparameter-tuning, tidymodels, parallelism, postprocessingmetrics, tidymodels, fairness, survival-analysis
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is tune?

tune extends tuning past the model itself to postprocessors, and adds a second parallel backend

tune runs hyperparameter search for tidymodels. Version 2.0.0 rewrote tune_grid() to make postprocessing tunable alongside preprocessing and the model, changed the .config naming scheme to match, and added mirai as a parallel backend next to future. Version 2.1.0 followed with quantile regression support and a replacement Gaussian process engine.

Read the full tune 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 →

tune vs yardstick: editorial side-by-side

T
tune
ANALYTICS
0.0

tune extends tuning past the model itself to postprocessors, and adds a second parallel backend

◆ Current state

tune runs hyperparameter search for tidymodels. Version 2.0.0 rewrote tune_grid() to make postprocessing tunable alongside preprocessing and the model, changed the .config naming scheme to match, and added mirai as a parallel backend next to future. Version 2.1.0 followed with quantile regression support and a replacement Gaussian process engine.

◆ Where it's heading

Two migrations run through this timeline. The tunable surface keeps widening - first censored regression as a mode, then postprocessors via tailor - so that a candidate is now a preprocessor, model and postprocessor triple rather than just a model. The parallel story has moved from foreach to future and now to mirai, each step deprecating the last. Neither is finished.

◆ Prediction

Expect the foreach path to be removed outright, and the postprocessing surface to grow as tailor gains more steps; the GauPro switch will likely need follow-up as its behavior differs from the old engine.

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 tune 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 tune or yardstick.

See all tune alternatives → · See all yardstick alternatives →

Recent activity from tune and yardstick

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

  1. 3mo agotuneQuantile regression tuning; Bayesian search moves to GauPro
  2. 4mo agoyardstickAdds Gini, MSE and rate metrics; old deprecations now error
  3. 10mo agotuneFixes int_pctl() with future parallelism on last_fit()
  4. 11mo agotunePostprocessors become tunable; mirai joins future as a backend
  5. 11mo agotuneDevelopment snapshot re-enabling skipped tests
  6. 1y agotuneWarns on foreach parallelism; space-filling grids by default
  7. 1y agoyardstickAll messages translated to cli
  8. 2y agotuneFixes parallel tuning errors under multisession plans
  9. 2y agoyardstickFixes wrong weights in roc_curve_survival()
  10. 2y agoyardstickFairness metrics and a groupwise metric constructor
  11. 3y agoyardstickBrier score for classification; tidyselect interface throughout
  12. 3y agoyardstickNew maintainer; clearer metric_set() errors

Frequently asked questions

What is the difference between tune and yardstick?

Both compete on the same themes — tidymodels — within Analytics. tune 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 tune better than yardstick?

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

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