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qtl vs treeshap

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

qtl vs treeshap: at a glance

Featureqtltreeshap
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesgenetics, qtl-mapping, statistical-genomics, r-packageshap, model explainability, tree ensembles, r package
Last editorial update57m ago7h ago
WebsiteVisit →Visit →

What is qtl?

R/qtl is in pure custodial mode: every recent release answers a compiler, not a user

R/qtl is the long-established R package for QTL mapping in experimental crosses, covering interval mapping, composite interval mapping, multiple-QTL model fitting and the associated cross data formats. Nothing in the recent release history adds capability. Version 1.74 removes an include that started warning on CRAN, 1.72 improves an error message in cim(), and 1.70 migrates the C code from Calloc/Realloc/Free to their R_-prefixed equivalents for R-devel.

Read the full qtl trajectory →

What is treeshap?

treeshap keeps widening its tree-model coverage while the SHAP math stays put.

treeshap computes exact SHAP values for tree ensembles in R, reaching each modelling framework through a per-framework unify() adapter. Since returning to CRAN in 2023 it has added GPBoost, ranger survival forests and multi-output models to that adapter layer. Four releases in three years, each dominated by adapter work contributed by users of one specific framework.

Read the full treeshap trajectory →

qtl vs treeshap: editorial side-by-side

Q
qtl
ANALYTICS
0.0

R/qtl is in pure custodial mode: every recent release answers a compiler, not a user

◆ Current state

R/qtl is the long-established R package for QTL mapping in experimental crosses, covering interval mapping, composite interval mapping, multiple-QTL model fitting and the associated cross data formats. Nothing in the recent release history adds capability. Version 1.74 removes an include that started warning on CRAN, 1.72 improves an error message in cim(), and 1.70 migrates the C code from Calloc/Realloc/Free to their R_-prefixed equivalents for R-devel.

◆ Where it's heading

The package is being maintained, not developed. The work divides cleanly into keeping the compiled code building against successive R and toolchain versions, and fixing narrow bugs reported through the issue tracker. The C-level migrations in particular are compliance with R's tightening of its C interface rather than anything chosen. Users should read the stability as maturity: the analysis surface has been fixed for years and the maintainer is keeping it installable.

◆ Prediction

R has continued to restrict its non-API C entry points, and this package has already made two such migrations, so further compile-time compliance work is the most likely content of the next release.

T
treeshap
ANALYTICS
0.0

treeshap keeps widening its tree-model coverage while the SHAP math stays put.

◆ Current state

treeshap computes exact SHAP values for tree ensembles in R, reaching each modelling framework through a per-framework unify() adapter. Since returning to CRAN in 2023 it has added GPBoost, ranger survival forests and multi-output models to that adapter layer. Four releases in three years, each dominated by adapter work contributed by users of one specific framework.

◆ Where it's heading

The direction is breadth of model support rather than new explanation methods: every release since the first CRAN submission adds or repairs a unify() backend. Maintenance is community-driven, with named contributors fixing the framework they personally use. Nothing in these entries points at work on the SHAP algorithms themselves.

◆ Prediction

Expect the next release to add or repair another unify() adapter as a contributor brings their own framework, rather than to change how explanations are computed.

Alternatives to qtl and treeshap

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 qtl or treeshap.

See all qtl alternatives → · See all treeshap alternatives →

Recent activity from qtl and treeshap

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

  1. 3mo agotreeshapGPBoost support lands; xgboost adapter repaired
  2. 8mo agoqtlRemove R_ext/PrtUtil.h include flagged by CRAN
  3. 8mo agoqtlClearer cim() error when multiple phenotypes are passed
  4. 1y agoqtlC memory calls migrated to R_Calloc/R_Realloc/R_Free
  5. 2y agotreeshapFixes broken lightgbm.unify examples
  6. 2y agoqtlFix Rprintf call and remaining compiler warnings
  7. 2y agoqtlFix summary.scanone() thresholds and csvs phenotype reading
  8. 2y agotreeshapMulti-output model explanations added
  9. 2y agotreeshapFirst CRAN release consolidates the unify() adapters
  10. 3y agoqtlFix addint()/addcovarint() with X chromosome QTL and missing phenotypes

Frequently asked questions

What is the difference between qtl and treeshap?

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

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

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

What are the best alternatives to treeshap?

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