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modeltime.ensemble vs tidytab

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

modeltime.ensemble vs tidytab: at a glance

Featuremodeltime.ensembletidytab
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themestime series forecasting, ensembles, tidymodels, compatibility maintenancetidyverse, tabulation, r-package, dependency-modernisation
Last editorial update7h ago1h 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 tidytab?

A young tabulation helper whose first releases are all dependency modernisation

tidytab is a small R package for tidyverse-style tabulation, three releases into its public life. Nothing so far has added functionality: 0.2.0 fixed a cumulative-percentage calculation and moved to the base R pipe, and 0.3.0 swapped a retired purrr function for tidyr::expand_grid. The one substantive user-facing item in the history is the cumulative percentage fix.

Read the full tidytab trajectory →

modeltime.ensemble vs tidytab: 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.

T
tidytab
ANALYTICS
0.0

A young tabulation helper whose first releases are all dependency modernisation

◆ Current state

tidytab is a small R package for tidyverse-style tabulation, three releases into its public life. Nothing so far has added functionality: 0.2.0 fixed a cumulative-percentage calculation and moved to the base R pipe, and 0.3.0 swapped a retired purrr function for tidyr::expand_grid. The one substantive user-facing item in the history is the cumulative percentage fix.

◆ Where it's heading

The package is being brought up to current tidyverse conventions by a wave of first-time contributors — six of them in 0.2.0 alone — rather than developed by a sustained maintainer effort. That makes the near-term direction predictable and narrow: retire deprecated idioms, keep CRAN checks clean. There is not yet enough history to say what the package intends to become.

◆ Prediction

With deprecated tidyselect and purrr usage now cleared, the remaining work of this kind is thin, so the next release will show whether the contributor interest converts into new tabulation features or the package settles at its current surface.

Alternatives to modeltime.ensemble and tidytab

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 tidytab.

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

Recent activity from modeltime.ensemble and tidytab

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

  1. 7mo agotidytabpurrr::cross2() replaced with tidyr::expand_grid()
  2. 8mo agotidytabCumulative percentage fixed; base pipe replaces magrittr
  3. 9mo agotidytabNEWS.md added to track changes
  4. 11mo agomodeltime.ensembleRealigned for tune 2.0.0 resampling changes
  5. 11mo agomodeltime.ensembleDrops the tidyverse dependency ahead of tune 2.0
  6. 5y agomodeltime.ensemblePer-series calibration IDs and parallel refitting
  7. 5y agomodeltime.ensembleRecursive ensembles for single and panel series

Frequently asked questions

What is the difference between modeltime.ensemble and tidytab?

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

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

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