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kernelshap vs survminer

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

kernelshap vs survminer: at a glance

Featurekernelshapsurvminer
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesshap, model explainability, sampling algorithms, numerical correctnessr, survival-analysis, ggplot2, dependency-reduction
Last editorial update6h ago52m ago
WebsiteVisit →Visit →

What is kernelshap?

kernelshap makes permutation SHAP practical past eight features, then fixes the kernel weights it had wrong.

kernelshap computes model-agnostic SHAP values in R through Kernel SHAP, permutation SHAP and an exact additive explainer. Version 0.8.0 added a sampling permutation-SHAP algorithm with standard errors and early stopping, lifting the practical feature ceiling past what the exact method allows. Version 0.9.0 then corrected a bug in how kernel weights were computed — exact Kernel SHAP now agrees with exact permutation SHAP — and moved parallelism from foreach to doFuture.

Read the full kernelshap trajectory →

What is survminer?

survminer is back after a five-year gap, and spending it cutting dependencies loose.

survminer draws Kaplan-Meier curves and Cox diagnostics on top of ggplot2, and it sits under a large share of published survival figures. After a long dormancy it has shipped three releases since late 2024, and all of them are about staying compatible: with ggplot2 3.5, then 4.0, and now without survMisc, whose weighted log-rank tests are computed internally in base R as of 0.5.2. The plotting API itself has not changed.

Read the full survminer trajectory →

kernelshap vs survminer: editorial side-by-side

K
kernelshap
ANALYTICS
0.0

kernelshap makes permutation SHAP practical past eight features, then fixes the kernel weights it had wrong.

◆ Current state

kernelshap computes model-agnostic SHAP values in R through Kernel SHAP, permutation SHAP and an exact additive explainer. Version 0.8.0 added a sampling permutation-SHAP algorithm with standard errors and early stopping, lifting the practical feature ceiling past what the exact method allows. Version 0.9.0 then corrected a bug in how kernel weights were computed — exact Kernel SHAP now agrees with exact permutation SHAP — and moved parallelism from foreach to doFuture.

◆ Where it's heading

Two concerns drive this package: making exact methods reach further, and being demonstrably right. The first shows in the additive explainer, the optional background dataset and the sampling permutation algorithm; the second in unit tests written against Python's shap, credited fixes from outside contributors, and a willingness to ship a correctness fix that changes numbers people have already published. Speed work runs continuously underneath — direct solves replacing the Moore-Penrose pseudo-inverse, roughly 10% less memory.

◆ Prediction

The 0.6.0 and 0.7.0 notes each promised a stable 1.0.0 that has not arrived; with the weighting bug fixed and parallelism reworked, a 1.0 release is the most plausible next step.

S
survminer
ANALYTICS
0.0

survminer is back after a five-year gap, and spending it cutting dependencies loose.

◆ Current state

survminer draws Kaplan-Meier curves and Cox diagnostics on top of ggplot2, and it sits under a large share of published survival figures. After a long dormancy it has shipped three releases since late 2024, and all of them are about staying compatible: with ggplot2 3.5, then 4.0, and now without survMisc, whose weighted log-rank tests are computed internally in base R as of 0.5.2. The plotting API itself has not changed.

◆ Where it's heading

This is a revival by maintenance, not by feature work — the same pattern as its sibling packages from the same author. The dependency surface is being reduced rather than extended, and each release absorbs a breaking change from ggplot2 that would otherwise leave existing scripts producing errors or misaligned risk tables. Compatibility fixes now arrive within months of the upstream change rather than years.

◆ Prediction

Continued ggplot2 4.x tracking is the most likely next release content, since 0.5.2 already carries fixes for 4.0.x aesthetics and the GeomConfint stairstep problem.

Alternatives to kernelshap and survminer

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 kernelshap or survminer.

See all kernelshap alternatives → · See all survminer alternatives →

Recent activity from kernelshap and survminer

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

  1. 5mo agosurvminersurvMisc dependency removed; weighted log-rank tests moved in-house
  2. 11mo agosurvminerRisk-table misalignment fixed via dynamic panel detection
  3. 1y agokernelshapKernel weight bug fixed; parallelism moves to doFuture
  4. 1y agokernelshapSampling permutation SHAP with standard errors
  5. 1y agosurvminerggcoxzph() sd scaling corrected; tidyverse deprecations cleared
  6. 1y agokernelshapBackground data now optional; ranger survival support
  7. 2y agokernelshapFactor-valued predictions dropped
  8. 2y agokernelshapadditive_shap() explains additive models exactly
  9. 2y agokernelshapFaster on plain data.frames
  10. 5y agosurvminerGehan-Breslow p-value corrected for log.rank.weights = n
  11. 6y agosurvminerbroom 0.7.0 compatibility fix in ggforest()
  12. 6y agosurvminersurv_adjustedcurves() separates computation from plotting

Frequently asked questions

What is the difference between kernelshap and survminer?

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

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

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

What are the best alternatives to survminer?

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