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Comparison · Analytics

modeltime.resample vs trias

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

modeltime.resample vs trias: at a glance

Featuremodeltime.resampletrias
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themestime series, cross-validation, tidymodels, compatibility maintenanceinvasive-species, biodiversity, gbif, indicators
Last editorial update2h ago48m ago
WebsiteVisit →Visit →

What is modeltime.resample?

modeltime.resample exists to keep backtesting working as tidymodels shifts underneath it.

modeltime.resample runs time series cross-validation over modeltime models, returning per-resample predictions and accuracy plots. Version 0.3.0 is the substantive release in view: tune 2.0.0 compatibility, deterministic seeding via withr, guaranteed .predictions output, and clearer failures when resample fits break. The three releases before it are dependency chores.

Read the full modeltime.resample 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 →

modeltime.resample vs trias: editorial side-by-side

M0.0

modeltime.resample exists to keep backtesting working as tidymodels shifts underneath it.

◆ Current state

modeltime.resample runs time series cross-validation over modeltime models, returning per-resample predictions and accuracy plots. Version 0.3.0 is the substantive release in view: tune 2.0.0 compatibility, deterministic seeding via withr, guaranteed .predictions output, and clearer failures when resample fits break. The three releases before it are dependency chores.

◆ Where it's heading

Every entry here is compatibility work against something upstream — hardhat 1.0.0, workflows regression mode, then tune 2.0.0 twice. The 0.3.0 notes show a second concern emerging alongside it: making failures legible, with .notes on failed fits, actionable errors from unnest_modeltime_resamples(), and fallback logic when prediction columns go missing across versions. Reproducibility gets the same treatment through explicit seeding.

◆ Prediction

Expect the next release to track the next tidymodels breaking change, with any new work continuing on error reporting rather than resampling strategies.

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 modeltime.resample 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 modeltime.resample or trias.

See all modeltime.resample alternatives → · See all trias alternatives →

Recent activity from modeltime.resample 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. 11mo agomodeltime.resampletune 2.0 support, deterministic seeding, clearer errors
  8. 11mo agomodeltime.resampleDependency cleanup ahead of the next tune release
  9. 3y agomodeltime.resampleFixes workflows in regression mode
  10. 4y agomodeltime.resampleUpdates for hardhat 1.0.0

Frequently asked questions

What is the difference between modeltime.resample and trias?

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

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

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