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modeltime.ensemble vs qtl

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

modeltime.ensemble vs qtl: at a glance

Featuremodeltime.ensembleqtl
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themestime series forecasting, ensembles, tidymodels, compatibility maintenancegenetics, qtl-mapping, statistical-genomics, r-package
Last editorial update7h ago58m ago
WebsiteVisit →Visit →

What is modeltime.ensemble?

modeltime.ensemble wakes after four years, and the work is all tune 2.0 compatibility.

modeltime.ensemble builds average, weighted and stacked ensembles over modeltime forecast models. After a four-year gap it shipped twice in a fortnight during August and September 2025, both releases devoted to tracking breaking changes in tidymodels' tune package — new resampling column conventions, key uniqueness across resamples, recipe preparation. The tidyverse dependency was dropped in the same pass.

Read the full modeltime.ensemble trajectory →

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 →

modeltime.ensemble vs qtl: editorial side-by-side

M0.0

modeltime.ensemble wakes after four years, and the work is all tune 2.0 compatibility.

◆ Current state

modeltime.ensemble builds average, weighted and stacked ensembles over modeltime forecast models. After a four-year gap it shipped twice in a fortnight during August and September 2025, both releases devoted to tracking breaking changes in tidymodels' tune package — new resampling column conventions, key uniqueness across resamples, recipe preparation. The tidyverse dependency was dropped in the same pass.

◆ Where it's heading

This is a package whose forecasting capability was settled by 2021 — recursive ensembles, per-series calibration — and whose recent life is dictated entirely by upstream tidymodels churn. New contributors did that compatibility work, including one from the tidymodels side. It now requires tune 2.0.0 and modeltime.resample 0.3.0, pinning it to the current tidymodels generation rather than straddling versions.

◆ Prediction

Expect the next release to follow the next tune or modeltime.resample breaking change rather than to introduce new ensembling methods.

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.

Alternatives to modeltime.ensemble and qtl

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.ensemble or qtl.

See all modeltime.ensemble alternatives → · See all qtl alternatives →

Recent activity from modeltime.ensemble and qtl

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

  1. 8mo agoqtlRemove R_ext/PrtUtil.h include flagged by CRAN
  2. 8mo agoqtlClearer cim() error when multiple phenotypes are passed
  3. 11mo agomodeltime.ensembleRealigned for tune 2.0.0 resampling changes
  4. 11mo agomodeltime.ensembleDrops the tidyverse dependency ahead of tune 2.0
  5. 1y agoqtlC memory calls migrated to R_Calloc/R_Realloc/R_Free
  6. 2y agoqtlFix Rprintf call and remaining compiler warnings
  7. 2y agoqtlFix summary.scanone() thresholds and csvs phenotype reading
  8. 3y agoqtlFix addint()/addcovarint() with X chromosome QTL and missing phenotypes
  9. 5y agomodeltime.ensemblePer-series calibration IDs and parallel refitting
  10. 5y agomodeltime.ensembleRecursive ensembles for single and panel series

Frequently asked questions

What is the difference between modeltime.ensemble and qtl?

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

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

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

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.