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filtro vs shapviz

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

Shared themes:r package

filtro vs shapviz: at a glance

Featurefiltroshapviz
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesfeature selection, tidymodels, s7, filter methodsshap, visualization, model explainability, ggplot2
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 shapviz?

shapviz refines its SHAP plots release by release while chasing ggplot2's moving target.

shapviz turns SHAP values from XGBoost, LightGBM, H2O, kernelshap and other sources into standard diagnostic plots — importance, dependence, waterfall, force and interaction. Recent work is plot ergonomics: shared y-axis control across dependence plots, a bar view for interaction values, and axis collection via patchwork. The two most recent releases are pure compatibility and bug fixes.

Read the full shapviz trajectory →

filtro vs shapviz: 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
shapviz
ANALYTICS
0.0

shapviz refines its SHAP plots release by release while chasing ggplot2's moving target.

◆ Current state

shapviz turns SHAP values from XGBoost, LightGBM, H2O, kernelshap and other sources into standard diagnostic plots — importance, dependence, waterfall, force and interaction. Recent work is plot ergonomics: shared y-axis control across dependence plots, a bar view for interaction values, and axis collection via patchwork. The two most recent releases are pure compatibility and bug fixes.

◆ Where it's heading

Two threads run in parallel here. One is visual refinement converging on conventions from Python's shap — the 0.10.0 notes openly float switching share_y to TRUE to match it. The other is connector maintenance, keeping pace with H2O, XGBoost 1.x and 2.x, shapr and permshap as each changes. Neither thread adds new explanation methods; shapviz's job is presentation, and it is being polished rather than extended.

◆ Prediction

Expect share_y = TRUE to become the default and further ggplot2 4.x fallout, with connector updates arriving as the upstream SHAP packages release.

Alternatives to filtro and shapviz

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 shapviz.

See all filtro alternatives → · See all shapviz alternatives →

Recent activity from filtro and shapviz

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

  1. 10mo agoshapvizggplot 4.0 compatibility fix
  2. 11mo agofiltroFive new filter scores and the move to S7
  3. 11mo agofiltroDevelopment build: score transformation handling
  4. 1y agoshapvizFixes duplicated bars in sv_interaction()
  5. 1y agoshapvizggplot2 and patchwork dependency bumps
  6. 1y agoshapvizShared y-axis control and bar-style interaction plots
  7. 1y agoshapvizH2O random forests gain TreeSHAP support
  8. 1y agoshapvizFixes a broken vignette link

Frequently asked questions

What is the difference between filtro and shapviz?

Both compete on the same themes — r package — within Analytics. filtro and shapviz 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 shapviz?

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

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