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kernelshap vs n2khab

A side-by-side editorial comparison of kernelshap and n2khab — release velocity, themes, recent moves, and the top alternatives to consider.

kernelshap vs n2khab: at a glance

Featurekernelshapn2khab
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesshap, model explainability, sampling algorithms, numerical correctnessnatura 2000, r, habitat mapping, reproducible research
Last editorial update2h ago1h 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 n2khab?

n2khab keeps retracting interpretations of habitat data it can't actually support

n2khab reads and prepares the standardised Flemish Natura 2000 habitat data sources — habitat maps, water surfaces, GRTS master grids — for reproducible analysis. Releases track the publication of new versioned data sources on Zenodo, but the more consequential ones change how the package interprets what it reads. The latest removes an argument outright after the reasoning behind it was found to be wrong.

Read the full n2khab trajectory →

kernelshap vs n2khab: 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.

N
n2khab
ANALYTICS
0.0

n2khab keeps retracting interpretations of habitat data it can't actually support

◆ Current state

n2khab reads and prepares the standardised Flemish Natura 2000 habitat data sources — habitat maps, water surfaces, GRTS master grids — for reproducible analysis. Releases track the publication of new versioned data sources on Zenodo, but the more consequential ones change how the package interprets what it reads. The latest removes an argument outright after the reasoning behind it was found to be wrong.

◆ Where it's heading

Two forces shape the package. The first is external: each new habitatmap or watersurfaces vintage needs a supported reader, and the package has absorbed a steady stream of them. The second is a willingness to break its own API when the ecology does not support what the code claimed — the interpreted argument removed because type 3130 occurrences cannot be resolved to a single subtype, the rbbvos+ type dropped as too loosely defined, the collapse default changed to match how users actually need the output shaped. Return structures are also being normalised so element names no longer vary with data source version.

◆ Prediction

The package has said it expects future watersurfaces_hab versions to implement collapsing in the data source itself, so the corresponding argument is a candidate for removal once that lands — the same path the interpreted argument took.

Alternatives to kernelshap and n2khab

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 n2khab.

See all kernelshap alternatives → · See all n2khab alternatives →

Recent activity from kernelshap and n2khab

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

  1. 1mo agon2khabn2khab 0.15.1
  2. 1mo agon2khabn2khab drops an argument built on a wrong ecological assumption
  3. 5mo agon2khabn2khab adds a reader for the watersurfaces reference points source
  4. 7mo agon2khabn2khab collapses watersurfaces output to unique polygon-type pairs
  5. 1y agokernelshapKernel weight bug fixed; parallelism moves to doFuture
  6. 1y agokernelshapSampling permutation SHAP with standard errors
  7. 1y agon2khabSupport for watersurfaces 2024 and watersurfaces_hab v6
  8. 1y agon2khabn2khab supports the 2023 habitat maps and drops the rbbvos+ type
  9. 1y agokernelshapBackground data now optional; ranger survival support
  10. 2y agokernelshapFactor-valued predictions dropped
  11. 2y agokernelshapadditive_shap() explains additive models exactly
  12. 2y agokernelshapFaster on plain data.frames

Frequently asked questions

What is the difference between kernelshap and n2khab?

They serve adjacent needs but don't currently overlap on shipped themes. kernelshap and n2khab 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 n2khab?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. kernelshap and n2khab 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 n2khab?

Top n2khab alternatives in Analytics are ranked by recent ship velocity. Browse the "n2khab alternatives" section above for the current picks, or visit /alternatives/n2khab for the full list with editorial commentary on each.