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Comparison · Analytics

lineup2 vs shapviz

A side-by-side editorial comparison of lineup2 and shapviz — release velocity, themes, recent moves, and the top alternatives to consider.

lineup2 vs shapviz: at a glance

Featurelineup2shapviz
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themessample-mixups, distance-metrics, r-package, bioinformaticsshap, visualization, model explainability, ggplot2
Last editorial update52m ago3h ago
WebsiteVisit →Visit →

What is lineup2?

lineup2 ships once every few years, and 2026's release is a logo and a core-count tweak.

lineup2 provides distance-based tools for detecting sample mix-ups between related datasets — comparing rows and columns of two matrices to find swapped or mislabeled samples. Its visible history is four releases spread across six years, and the capability surface has barely moved since plot_sample() and the propdiff distance arrived in 0.4. Version 0.8 in July 2026 adds a package logo and redefines cores=0 to mean all-but-one core.

Read the full lineup2 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 →

lineup2 vs shapviz: editorial side-by-side

L
lineup2
ANALYTICS
0.0

lineup2 ships once every few years, and 2026's release is a logo and a core-count tweak.

◆ Current state

lineup2 provides distance-based tools for detecting sample mix-ups between related datasets — comparing rows and columns of two matrices to find swapped or mislabeled samples. Its visible history is four releases spread across six years, and the capability surface has barely moved since plot_sample() and the propdiff distance arrived in 0.4. Version 0.8 in July 2026 adds a package logo and redefines cores=0 to mean all-but-one core.

◆ Where it's heading

This is a finished, single-purpose package in maintenance. The substantive changes across the whole window are plotting conveniences and one parallelism default; nothing in the entries points at new distance measures, new input formats, or expanded scope. The release cadence — five years between 0.6 and 0.8 — reads as a tool the author considers done.

◆ Prediction

Further releases are likely to stay small: a plotting option, a parallelism detail, or a check-farm fix. The entries give no signal of planned feature work.

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 lineup2 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 lineup2 or shapviz.

See all lineup2 alternatives → · See all shapviz alternatives →

Recent activity from lineup2 and shapviz

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

  1. 1mo agolineup2cores=0 now leaves one core free
  2. 10mo agoshapvizggplot 4.0 compatibility fix
  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 agoshapvizH2O random forests gain TreeSHAP support
  7. 1y agoshapvizFixes a broken vignette link
  8. 5y agolineup2plot_sample() gains xlim and ylim control
  9. 5y agolineup2plot_sample() and the propdiff distance added
  10. 5y agolineup2Package description revised for CRAN resubmission

Frequently asked questions

What is the difference between lineup2 and shapviz?

They serve adjacent needs but don't currently overlap on shipped themes. lineup2 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 lineup2 better than shapviz?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. lineup2 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 lineup2?

Top lineup2 alternatives in Analytics are ranked by recent ship velocity. Browse the "lineup2 alternatives" section above for the current picks, or visit /alternatives/lineup2-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.