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geodist vs treeshap

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

geodist vs treeshap: at a glance

Featuregeodisttreeshap
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesgeospatial, distance-calculation, zero-dependency, c-codeshap, model explainability, tree ensembles, r package
Last editorial update1h ago9h ago
WebsiteVisit →Visit →

What is geodist?

geodist stays dependency-free and fast, and warns you when 'cheap' distances stop being honest.

geodist computes geodesic distances between coordinate pairs in C with no dependencies, offering several measures that trade accuracy for speed — including a 'cheap' approximation used by default. The API is small and largely finished; 0.1.0 added geodist_min() for nearest-match lookups and 0.1.1 is a compiler warning fix.

Read the full geodist 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 →

geodist vs treeshap: editorial side-by-side

G
geodist
ANALYTICS
0.0

geodist stays dependency-free and fast, and warns you when 'cheap' distances stop being honest.

◆ Current state

geodist computes geodesic distances between coordinate pairs in C with no dependencies, offering several measures that trade accuracy for speed — including a 'cheap' approximation used by default. The API is small and largely finished; 0.1.0 added geodist_min() for nearest-match lookups and 0.1.1 is a compiler warning fix.

◆ Where it's heading

Development has been about making the speed-accuracy trade visible rather than hiding it. The 0.0.6 release added messages telling users to pick a different measure once the default cheap approximation is applied beyond 100km, where its error stops being negligible. Around that, the work is input handling — tibble support, better lon/lat column matching, vector inputs — and hardening the C code. It is a package that treats being small and correct as the feature.

◆ Prediction

Expect continued low-frequency maintenance: compiler warnings and geodesic source updates account for three of the last six releases, and the function surface has grown by only two entries in five years.

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 geodist 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 geodist or treeshap.

See all geodist alternatives → · See all treeshap alternatives →

Recent activity from geodist and treeshap

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

  1. 3mo agotreeshapGPBoost support lands; xgboost adapter repaired
  2. 1y agogeodistgeodist 0.1.1 clears a clang warning in geodesic.c
  3. 2y agogeodistgeodist 0.1.0 adds geodist_min() for nearest matches
  4. 2y agotreeshapFixes broken lightgbm.unify examples
  5. 2y agotreeshapMulti-output model explanations added
  6. 2y agotreeshapFirst CRAN release consolidates the unify() adapters
  7. 3y agogeodistgeodist 0.0.8 updates geodesic source, fixes clang warnings
  8. 5y agogeodistgeodist 0.0.7 improves lon/lat column matching and tibbles
  9. 5y agogeodistgeodist 0.0.6 warns when cheap distances exceed 100km
  10. 6y agogeodistgeodist 0.0.4 adds geodist_vec() for vector inputs

Frequently asked questions

What is the difference between geodist and treeshap?

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

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

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