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hstats vs trias

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

hstats vs trias: at a glance

Featurehstatstrias
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesinteraction statistics, partial dependence, model explainability, r packageinvasive-species, biodiversity, gbif, indicators
Last editorial update2h ago46m ago
WebsiteVisit →Visit →

What is hstats?

hstats settled into maintenance after its 1.0 restructuring, with model coverage the only thing still growing.

hstats computes Friedman's H-statistics, partial dependence, ICE curves and permutation importance for any model exposing a prediction function. The releases in view are consolidation: performance work on plain data.frames, ICE facetting for multioutput models, ranger survival support, and a ggplot 4.0 compatibility pass in 2025. The package moved to the ModelOriented organisation in 1.2.0.

Read the full hstats trajectory →

What is trias?

Belgium's invasive-species indicator toolkit is in steady refinement, one plotting edge case at a time.

trias computes and visualizes indicators for the Belgian Tracking Invasive Alien Species project — emergence detection via GAMs, introduction pathway breakdowns following CBD categories, and native range trends. The recent releases are narrow: GAM plots can now be produced without textual annotation when the model cannot be fitted, and apply_decision_rules() no longer supplies a default for a required argument.

Read the full trias trajectory →

hstats vs trias: editorial side-by-side

H
hstats
ANALYTICS
0.0

hstats settled into maintenance after its 1.0 restructuring, with model coverage the only thing still growing.

◆ Current state

hstats computes Friedman's H-statistics, partial dependence, ICE curves and permutation importance for any model exposing a prediction function. The releases in view are consolidation: performance work on plain data.frames, ICE facetting for multioutput models, ranger survival support, and a ggplot 4.0 compatibility pass in 2025. The package moved to the ModelOriented organisation in 1.2.0.

◆ Where it's heading

The structural work — the hstats_matrix object, quantile approximation, revised plotting — landed in 1.0.0 just outside this window, and nothing since has changed the package's shape. What continues is model-coverage plumbing: mlr3 classification modes, ranger survival behind a survival argument, and factor predictions added in 1.1.0 then removed again in 1.2.0. The most recent releases are compatibility-driven, tracking ggplot2 rather than the interaction statistics.

◆ Prediction

Expect the next release to be another dependency-compatibility pass or a new model backend working out of the box, rather than new interaction statistics.

T
trias
ANALYTICS
0.0

Belgium's invasive-species indicator toolkit is in steady refinement, one plotting edge case at a time.

◆ Current state

trias computes and visualizes indicators for the Belgian Tracking Invasive Alien Species project — emergence detection via GAMs, introduction pathway breakdowns following CBD categories, and native range trends. The recent releases are narrow: GAM plots can now be produced without textual annotation when the model cannot be fitted, and apply_decision_rules() no longer supplies a default for a required argument.

◆ Where it's heading

Development runs in small, fast patches concentrated on making the indicator functions survive imperfect real-world input — pathways absent from the data, GAMs that will not converge, checklist files with unexpected columns. A second thread trims the package's own surface in favor of the data it ships, deprecating pathways_cbd() in favor of using the pathwayscbd data frame directly, while get_nubkeys() extends reach into GBIF Backbone taxon key resolution.

◆ Prediction

Expect continued patch-level hardening of the visualization functions and further reliance on GBIF services for taxon resolution, with no sign of a structural change to the indicator set.

Alternatives to hstats and trias

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 hstats or trias.

See all hstats alternatives → · See all trias alternatives →

Recent activity from hstats and trias

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

  1. 3mo agotriasGAM plots survive models that cannot be fitted
  2. 5mo agotriasColumn validation added to the download list update
  3. 6mo agotriasY-axis tick values corrected in pathway plots
  4. 6mo agotriasZenodo integration patch removes the DOI badge
  5. 6mo agotriasget_nubkeys() resolves GBIF Backbone taxon keys
  6. 6mo agotriaspathways_cbd() deprecated in favor of its data frame
  7. 10mo agohstatsggplot 4.0 compatibility and test coverage
  8. 1y agohstatsranger survival models supported out of the box
  9. 2y agohstatsMoves to ModelOriented; factor predictions removed
  10. 2y agohstatsICE facets for multioutput models; mlr3 fixes
  11. 2y agohstatsFaster data.frame paths; NaN H-statistics fixed
  12. 2y agohstatsFactor predictions and line-style 2D partial dependence

Frequently asked questions

What is the difference between hstats and trias?

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

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

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

What are the best alternatives to trias?

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