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kernelshap vs symengine

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

kernelshap vs symengine: at a glance

Featurekernelshapsymengine
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesshap, model explainability, sampling algorithms, numerical correctnesssymbolic-computation, cas, cpp-core, r-bindings
Last editorial update9h ago48m 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 symengine?

An R symbolic-maths binding whose changelog is really the C++ core's release notes.

symengine gives R access to the SymEngine computer algebra core for symbolic expressions, matrices and sets. The tracked feed carries the upstream C++ library's releases rather than R-binding changes, so what shows here is core work: parser fixes, locale-independent double parsing, an SOVERSION bump and matrix transpose corrections. Feature growth in the core has slowed considerably since the 0.9 and 0.10 releases.

Read the full symengine trajectory →

kernelshap vs symengine: 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
symengine
ANALYTICS
0.0

An R symbolic-maths binding whose changelog is really the C++ core's release notes.

◆ Current state

symengine gives R access to the SymEngine computer algebra core for symbolic expressions, matrices and sets. The tracked feed carries the upstream C++ library's releases rather than R-binding changes, so what shows here is core work: parser fixes, locale-independent double parsing, an SOVERSION bump and matrix transpose corrections. Feature growth in the core has slowed considerably since the 0.9 and 0.10 releases.

◆ Where it's heading

The upstream core has moved from adding capability — serialization, a first simplify(), set types, matrix expressions, LLVM support — toward maintenance: build fixes, dependency support such as Flint3, and correctness patches. For R users the practical consequence is that new symbolic features arrive only as fast as the binding exposes them, which this feed does not report on.

◆ Prediction

Expect further upstream maintenance releases tracking LLVM and Flint versions; nothing in these notes signals a new capability push.

Alternatives to kernelshap and symengine

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 symengine.

See all kernelshap alternatives → · See all symengine alternatives →

Recent activity from kernelshap and symengine

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

  1. 1y agokernelshapKernel weight bug fixed; parallelism moves to doFuture
  2. 1y agokernelshapSampling permutation SHAP with standard errors
  3. 1y agosymengineLocale-independent double parsing and matrix transpose fix
  4. 1y agokernelshapBackground data now optional; ranger survival support
  5. 2y agokernelshapFactor-valued predictions dropped
  6. 2y agokernelshapadditive_shap() explains additive models exactly
  7. 2y agosymengineFlint3 support and SBML printing fixes
  8. 2y agokernelshapFaster on plain data.frames
  9. 3y agosymengineBuild fixes only, no functional change
  10. 3y agosymengineMatrix expressions, Intersection class and LLVM 16 support
  11. 4y agosymengineAdds serialization and a first simplify() implementation
  12. 4y agosymengineFixes MSVC2017 compilation failure

Frequently asked questions

What is the difference between kernelshap and symengine?

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

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

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