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Comparison · Analytics

embed vs yardstick

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

Shared themes:tidymodels

embed vs yardstick: at a glance

Featureembedyardstick
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesfeature-engineering, recipes, tidymodels, umapmetrics, tidymodels, fairness, survival-analysis
Last editorial update1h ago51m ago
WebsiteVisit →Visit →

What is embed?

embed keeps adding encoding steps while shedding its deep-learning dependencies

embed supplies recipes steps that turn categorical predictors into numeric representations — likelihood encoding, UMAP projection, string-distance collapsing. The 1.1.x line made UMAP arguments tunable and moved keras and tensorflow out of hard dependencies; 1.2.0 added analytical likelihood encoding with partial pooling and retired step_feature_hash() in favor of textrecipes.

Read the full embed 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 →

embed vs yardstick: editorial side-by-side

E
embed
ANALYTICS
0.0

embed keeps adding encoding steps while shedding its deep-learning dependencies

◆ Current state

embed supplies recipes steps that turn categorical predictors into numeric representations — likelihood encoding, UMAP projection, string-distance collapsing. The 1.1.x line made UMAP arguments tunable and moved keras and tensorflow out of hard dependencies; 1.2.0 added analytical likelihood encoding with partial pooling and retired step_feature_hash() in favor of textrecipes.

◆ Where it's heading

Two quiet directions run through these releases. One is making the steps tunable rather than fixed, so they participate properly in tidymodels grids. The other is boundary maintenance: heavy dependencies pushed to Suggests, overlapping steps handed to the package that owns them. Recent releases are thin and fix-driven.

◆ Prediction

Expect further consolidation with textrecipes over which package owns which encoding step, and continued upkeep against xgboost and uwot releases rather than new step families.

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 embed 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 embed or yardstick.

See all embed alternatives → · See all yardstick alternatives →

Recent activity from embed 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. 6mo agoembedstep_umap() zero-component bug fixed
  3. 8mo agoembedCompatibility with all xgboost versions
  4. 11mo agoembedstep_lencode() adds analytical likelihood encoding with pooling
  5. 1y agoembedUMAP initial and target_weight become tunable
  6. 1y agoyardstickAll messages translated to cli
  7. 2y agoyardstickFixes wrong weights in roc_curve_survival()
  8. 2y agoembedkeras and tensorflow moved to Suggests
  9. 2y agoyardstickFairness metrics and a groupwise metric constructor
  10. 2y agoembedstep_collapse_stringdist() returns factors
  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 embed and yardstick?

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

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

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