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themis vs yardstick

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

Shared themes:tidymodels

themis vs yardstick: at a glance

Featurethemisyardstick
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themesr, tidymodels, class-imbalance, resamplingmetrics, tidymodels, fairness, survival-analysis
Last editorial update2h ago47m ago
WebsiteVisit →Visit →

What is themis?

themis is back to adding real resampling algorithms after a documentation-heavy stretch.

themis supplies recipes steps for handling class imbalance in tidymodels. The 1.0.x line was consumed by documentation accuracy, message translation and internal consistency work. Version 1.1.0 returns to substance with two new under-sampling methods.

Read the full themis 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 →

themis vs yardstick: editorial side-by-side

T
themis
ANALYTICS
2.5

themis is back to adding real resampling algorithms after a documentation-heavy stretch.

◆ Current state

themis supplies recipes steps for handling class imbalance in tidymodels. The 1.0.x line was consumed by documentation accuracy, message translation and internal consistency work. Version 1.1.0 returns to substance with two new under-sampling methods.

◆ Where it's heading

The package grows by adding algorithms rather than restructuring itself. tomek() was rewritten to handle multiple classes and drop the unbalanced dependency, case weights arrived at 1.0.0, and cluster-centroid and condensed-nearest-neighbour under-sampling arrive now — each shipped as both a recipes step and a direct-implementation function.

◆ Prediction

Expect further under- and over-sampling methods in the same paired form, as the package fills out coverage of the standard class-imbalance literature.

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 themis 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 themis or yardstick.

See all themis alternatives → · See all yardstick alternatives →

Recent activity from themis and yardstick

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

  1. 10d agothemisthemis 1.1.0 adds cluster-centroid and CNN under-sampling
  2. 4mo agoyardstickAdds Gini, MSE and rate metrics; old deprecations now error
  3. 1y agothemisthemis 1.0.3 corrects resampling direction in documentation
  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. 2y agothemisthemis 1.0.2 makes internal consistency and speed changes
  8. 3y agoyardstickBrier score for classification; tidyselect interface throughout
  9. 3y agothemisthemis 1.0.1 fixes upsampling errors when none is needed
  10. 3y agoyardstickNew maintainer; clearer metric_set() errors
  11. 4y agothemisthemis 1.0.0 adds case weights to up- and down-sampling
  12. 4y agothemisthemis 0.2.2 rewrites tomek() for multiclass, drops a dependency

Frequently asked questions

What is the difference between themis and yardstick?

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

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

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