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enpls vs modeltime.ensemble

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

enpls vs modeltime.ensemble: at a glance

Featureenplsmodeltime.ensemble
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themespartial-least-squares, ensemble-learning, chemometrics, maintenance-modetime series forecasting, ensembles, tidymodels, compatibility maintenance
Last editorial update1h ago9h ago
WebsiteVisit →Visit →

What is enpls?

enpls has not changed its statistics since 2016 — only its website, twice.

enpls implements ensemble partial least squares regression, with variants for feature selection, outlier detection and model applicability. Across the six most recent releases there is not one change to the modeling code. They cover a documentation website, a website URL change, a font stack, code indentation, a CI service, and most recently a GitHub Actions migration with an R CMD check note fix.

Read the full enpls trajectory →

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 →

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

E
enpls
ANALYTICS
0.0

enpls has not changed its statistics since 2016 — only its website, twice.

◆ Current state

enpls implements ensemble partial least squares regression, with variants for feature selection, outlier detection and model applicability. Across the six most recent releases there is not one change to the modeling code. They cover a documentation website, a website URL change, a font stack, code indentation, a CI service, and most recently a GitHub Actions migration with an R CMD check note fix.

◆ Where it's heading

The statistical work finished around version 5.6, which added cross-validation fold control and fixed component selection when the maximum was left unspecified. Everything since has kept the package installable and its docs online. The 2025 release arriving the same day as sibling package grex, with the same two fixes, confirms the pattern: these are maintainer sweeps across a portfolio, not attention to enpls specifically.

◆ Prediction

The next release will almost certainly be another CRAN or tooling fix. Six consecutive infrastructure-only releases across nine years give no basis for expecting new methods.

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.

Alternatives to enpls and modeltime.ensemble

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 enpls or modeltime.ensemble.

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

Recent activity from enpls and modeltime.ensemble

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

  1. 11mo agomodeltime.ensembleRealigned for tune 2.0.0 resampling changes
  2. 11mo agomodeltime.ensembleDrops the tidyverse dependency ahead of tune 2.0
  3. 1y agoenplsenpls 6.1.1 moves pkgdown to GitHub Actions
  4. 5y agomodeltime.ensemblePer-series calibration IDs and parallel refitting
  5. 5y agomodeltime.ensembleRecursive ensembles for single and panel series
  6. 7y agoenplsenpls 6.1 adopts tidyverse code style
  7. 8y agoenplsenpls 6.0 changes the documentation URL
  8. 8y agoenplsenpls 5.9 drops Google Fonts from vignettes
  9. 9y agoenplsenpls 5.8 updates gallery images, enables HTTPS
  10. 9y agoenplsenpls 5.7 adds a pkgdown site and Windows CI

Frequently asked questions

What is the difference between enpls and modeltime.ensemble?

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

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

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

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.