TAF
TAF keeps turning ICES stock assessments into reproducible, dependency-pinned projects.
A side-by-side editorial comparison of modeltime.ensemble and tidytab — release velocity, themes, recent moves, and the top alternatives to consider.
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.
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.
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.
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.
Expect the next release to follow the next tune or modeltime.resample breaking change rather than to introduce new ensembling methods.
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.
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.
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.
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.
TAF keeps turning ICES stock assessments into reproducible, dependency-pinned projects.
parallelDist is in pure preservation mode — one build fix every few years.
Cairo finally catches R's graphics engine, all the way to GE API 16.
rjdqa keeps refining one screen: the seasonal adjustment quality dashboard
epikit narrows to field-epidemiology helpers, handing proportions to a sibling package
SimInf 10.0 turns an epidemic simulator into a tool that fits models to real time series
See all modeltime.ensemble alternatives → · See all tidytab alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
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.
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.
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.
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.