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filtro vs scoringutils

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

filtro vs scoringutils: at a glance

Featurefiltroscoringutils
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesfeature selection, tidymodels, s7, filter methodsforecast evaluation, probabilistic scoring, multivariate forecasts, s3 classes
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is filtro?

filtro moves to S7 and multiplies its feature-scoring methods in a single release.

filtro supplies feature-selection filter scores for the tidymodels stack. Version 0.2.0 adds five scoring methods — correlation, random forest importance, information gain, ROC AUC and cross tabulation — and moves the package from S3 to S7. It also gains a ranking layer: show_best_score_* and rank_best_score_* helpers for a single score, plus desirability-function helpers for optimising across several scores at once.

Read the full filtro trajectory →

What is scoringutils?

scoringutils pushes forecast scoring past univariate outcomes into multivariate and ordinal ones.

scoringutils evaluates probabilistic forecasts in R. Since the 2.0.0 rewrite it is organised around typed forecast objects — quantile, sample, binary, point, nominal — built by as_forecast_<type>() constructors and scored through S3 methods. Version 2.2.0 adds multivariate sample and point types with the variogram score, and 2.1.0 added ordinal forecasts.

Read the full scoringutils trajectory →

filtro vs scoringutils: editorial side-by-side

F
filtro
ANALYTICS
0.0

filtro moves to S7 and multiplies its feature-scoring methods in a single release.

◆ Current state

filtro supplies feature-selection filter scores for the tidymodels stack. Version 0.2.0 adds five scoring methods — correlation, random forest importance, information gain, ROC AUC and cross tabulation — and moves the package from S3 to S7. It also gains a ranking layer: show_best_score_* and rank_best_score_* helpers for a single score, plus desirability-function helpers for optimising across several scores at once.

◆ Where it's heading

The package is being built out on two axes at once — the catalogue of scores, and the machinery for choosing between them. The desirability functions are the more telling half, since they assume users will filter on several criteria rather than one. Adopting S7 while still pre-1.0 suggests the object model is being settled before the API is frozen.

◆ Prediction

Expect more scoring methods on the same S7 interface and a 1.0 release once the score and ranking APIs stop moving; the ranking helpers' naming is the most likely thing to change first.

S
scoringutils
ANALYTICS
0.0

scoringutils pushes forecast scoring past univariate outcomes into multivariate and ordinal ones.

◆ Current state

scoringutils evaluates probabilistic forecasts in R. Since the 2.0.0 rewrite it is organised around typed forecast objects — quantile, sample, binary, point, nominal — built by as_forecast_<type>() constructors and scored through S3 methods. Version 2.2.0 adds multivariate sample and point types with the variogram score, and 2.1.0 added ordinal forecasts.

◆ Where it's heading

The forecast-type system introduced in 2.0.0 is the engine of everything since: each release fits another outcome shape into it rather than reworking the scoring interface. Multivariate support is the largest of those additions because it scores the dependence structure between variables, not just marginal accuracy. Type and constructor names are still being reconciled — forecast_sample_multivariate was renamed to forecast_multivariate_sample with a deprecation window.

◆ Prediction

Expect further forecast types and metrics slotted into the same constructor pattern, and the deprecated forecast_sample_multivariate alias and is_forecast_sample_multivariate() to be removed once that window closes.

Alternatives to filtro and scoringutils

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 filtro or scoringutils.

See all filtro alternatives → · See all scoringutils alternatives →

Recent activity from filtro and scoringutils

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

  1. 4mo agoscoringutilsMultivariate forecast scoring and the variogram score
  2. 11mo agofiltroFive new filter scores and the move to S7
  3. 11mo agofiltroDevelopment build: score transformation handling
  4. 11mo agoscoringutilsQuantile levels rounded to avoid float duplicates
  5. 1y agoscoringutilsOptional p-values in pairwise comparisons; PIT fix
  6. 1y agoscoringutilsOrdinal forecasts get their own class and metrics
  7. 1y agoscoringutilsRewrite: typed forecast objects and pluggable metrics
  8. 2y agoscoringutilsTwo bug fixes and package-site infrastructure

Frequently asked questions

What is the difference between filtro and scoringutils?

They serve adjacent needs but don't currently overlap on shipped themes. filtro and scoringutils 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 filtro better than scoringutils?

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

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

What are the best alternatives to scoringutils?

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