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shapviz vs tern.rbmi

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

shapviz vs tern.rbmi: at a glance

Featureshapviztern.rbmi
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesshap, visualization, model explainability, ggplot2pharmaverse, multiple-imputation, cran-maintenance, tabulation
Last editorial update10h ago1h ago
WebsiteVisit →Visit →

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 →

What is tern.rbmi?

Reference-based multiple imputation tables, shipping only what CRAN checks demand.

tern.rbmi renders the output of {rbmi} reference-based multiple imputation analyses into tern tables for clinical reporting. Its three most recent releases exist to satisfy CRAN: restricting vignette builds to gcc, adding V8 to Suggests, and a plain resubmission. No user-facing functionality has changed in the visible window, and the three older entries now backfilled are version-bump automation.

Read the full tern.rbmi trajectory →

shapviz vs tern.rbmi: editorial side-by-side

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.

T
tern.rbmi
ANALYTICS
0.0

Reference-based multiple imputation tables, shipping only what CRAN checks demand.

◆ Current state

tern.rbmi renders the output of {rbmi} reference-based multiple imputation analyses into tern tables for clinical reporting. Its three most recent releases exist to satisfy CRAN: restricting vignette builds to gcc, adding V8 to Suggests, and a plain resubmission. No user-facing functionality has changed in the visible window, and the three older entries now backfilled are version-bump automation.

◆ Where it's heading

This is a thin adapter package and behaves like one — it moves when CRAN or an upstream dependency forces it to. Between 2022 and 2024 the feed shows only version bumps, and the 2025 releases are packaging concerns rather than analysis changes. The newly surfaced 2022 entries reinforce rather than change that reading.

◆ Prediction

Expect the next release to be triggered by a CRAN check failure or an {rbmi} update rather than by new tabulation features.

Alternatives to shapviz and tern.rbmi

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 shapviz or tern.rbmi.

See all shapviz alternatives → · See all tern.rbmi alternatives →

Recent activity from shapviz and tern.rbmi

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

  1. 10mo agoshapvizggplot 4.0 compatibility fix
  2. 1y agotern.rbmiVignette built only under gcc
  3. 1y agoshapvizFixes duplicated bars in sv_interaction()
  4. 1y agoshapvizggplot2 and patchwork dependency bumps
  5. 1y agoshapvizShared y-axis control and bar-style interaction plots
  6. 1y agotern.rbmiV8 added to Suggests
  7. 1y agoshapvizH2O random forests gain TreeSHAP support
  8. 1y agotern.rbmiCRAN resubmission with dependency and workflow updates
  9. 1y agoshapvizFixes a broken vignette link
  10. 3y agotern.rbmiAutomated release commit for 0.1.1
  11. 4y agotern.rbmiDevelopment version bump to 0.1.0.9004
  12. 4y agotern.rbmiCI automation commit, no release content

Frequently asked questions

What is the difference between shapviz and tern.rbmi?

They serve adjacent needs but don't currently overlap on shipped themes. shapviz and tern.rbmi 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 shapviz better than tern.rbmi?

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

What are the best alternatives to tern.rbmi?

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