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see vs yardstick

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

see vs yardstick: at a glance

Featureseeyardstick
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr, easystats, data-visualization, ggplot2metrics, tidymodels, fairness, survival-analysis
Last editorial update2h ago53m ago
WebsiteVisit →Visit →

What is see?

see grows wherever easystats adds a diagnostic, one plot method at a time.

see is the visualization layer for the easystats ecosystem, supplying plot() methods for performance, parameters and datawizard objects. Each release adds methods for whatever those packages shipped — prior predictive checks, DAG diagrams, factor-analysis graphs — alongside steady theme and geom refinement.

Read the full see 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 →

see vs yardstick: editorial side-by-side

S
see
ANALYTICS
0.0

see grows wherever easystats adds a diagnostic, one plot method at a time.

◆ Current state

see is the visualization layer for the easystats ecosystem, supplying plot() methods for performance, parameters and datawizard objects. Each release adds methods for whatever those packages shipped — prior predictive checks, DAG diagrams, factor-analysis graphs — alongside steady theme and geom refinement.

◆ Where it's heading

Growth here is downstream-driven rather than self-directed: see expands to cover new diagnostics as easystats produces them. Running alongside that is a sustained investment in presentation control — theme arguments on plot methods, elements that scale with base_size — which suits users embedding these plots in documents rather than glancing at them interactively.

◆ Prediction

Expect new plot methods to keep arriving in step with performance and parameters releases, with continued theming work rather than any change in the package's scope.

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 see 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 see or yardstick.

See all see alternatives → · See all yardstick alternatives →

Recent activity from see and yardstick

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

  1. 1mo agoseesee 0.14.1 adds plots for prior checks and grouped means
  2. 2mo agoseesee 0.14.0 renders factor loadings as node-edge graphs
  3. 4mo agoyardstickAdds Gini, MSE and rate metrics; old deprecations now error
  4. 6mo agoseesee 0.13.0 fixes reversed plot sorting, adds theme arguments
  5. 11mo agoseesee 0.12.0 extends normality checks to psych factor models
  6. 1y agoseesee 0.11.0 scales theme elements with base_size
  7. 1y agoyardstickAll messages translated to cli
  8. 1y agoseesee 0.10.0 plots random-effect group levels for mixed models
  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 see and yardstick?

They serve adjacent needs but don't currently overlap on shipped themes. see 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 see better than yardstick?

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

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