mutagen
A young package porting Stata's egen row-wise helpers to the tidyverse, one function per release
Comparison · Analytics
modeltime.ensemble vs redist
A side-by-side editorial comparison of modeltime.ensemble and redist — release velocity, themes, recent moves, and the top alternatives to consider.
modeltime.ensemble vs redist: at a glance
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.
What is redist?
redist keeps rewriting the sampler underneath a district-drawing API it has held stable since 4.0.
redist simulates redistricting plans via sequential Monte Carlo, merge-split MCMC and short-burst optimization, and it is the analysis tool behind a good deal of published districting work. The user-facing shape was set by 4.0.1's constraint interface and the split of metrics into the redistmetrics package; since then the changes are in the algorithms. The most consequential recent one replaces the SMC label-counting adjustment with a backward kernel that removes approximation error outright.
modeltime.ensemble vs redist: editorial side-by-side
modeltime.ensemble
0.0ANALYTICS
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.
redist
0.0ANALYTICS
redist keeps rewriting the sampler underneath a district-drawing API it has held stable since 4.0.
◆ Current state
redist simulates redistricting plans via sequential Monte Carlo, merge-split MCMC and short-burst optimization, and it is the analysis tool behind a good deal of published districting work. The user-facing shape was set by 4.0.1's constraint interface and the split of metrics into the redistmetrics package; since then the changes are in the algorithms. The most consequential recent one replaces the SMC label-counting adjustment with a backward kernel that removes approximation error outright.
◆ Where it's heading
The direction is toward exactness and throughput at once — the new kernel is described as both eliminating approximation error and costing far less computation, and successive releases keep adding parallelism, most recently to the flip algorithm. Feature growth has moved into the optimization side, where short-burst gained multiple independent scorers and a Pareto frontier. The release notes are not a reliable ledger: 4.3.1 ships the identical text as 4.3.0.
◆ Prediction
Expect the remaining single-threaded algorithms to gain the chains-style parallelism that flip just received, following the pattern SMC established several releases ago.
Alternatives to modeltime.ensemble and redist
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 redist.
broman
A statistician's personal toolbox, growing one plotting utility at a time
qtl
R/qtl is in pure custodial mode: every recent release answers a compiler, not a user
GDPuc
A GDP unit converter that keeps widening which currencies and deflators it will accept
geomander
A redistricting toolkit that grows mostly by wiring in new public data sources
geos
The thin GEOS binding for R adds terra interop after three years of compiler triage
See all modeltime.ensemble alternatives → · See all redist alternatives →
Recent activity from modeltime.ensemble and redist
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 6mo agoredistParallel chains for redist_flip()
- 6mo agoredistPatch release reusing the 4.3.0 notes
- 10mo agoredistSMC backward kernel removes label-counting approximation error
- 11mo agomodeltime.ensembleRealigned for tune 2.0.0 resampling changes
- 11mo agomodeltime.ensembleDrops the tidyverse dependency ahead of tune 2.0
- 2y agoredistMulti-objective short-burst search with Pareto frontier
- 3y agoredistredist_ci interface and faster loop-erased random walk
- 4y agoredistredist_constr() unifies constraints and admits user-defined ones ⚡
- 5y agomodeltime.ensemblePer-series calibration IDs and parallel refitting
- 5y agomodeltime.ensembleRecursive ensembles for single and panel series ⚡
Frequently asked questions
What is the difference between modeltime.ensemble and redist?
They serve adjacent needs but don't currently overlap on shipped themes. modeltime.ensemble and redist 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 redist?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. modeltime.ensemble and redist 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 redist?
Top redist alternatives in Analytics are ranked by recent ship velocity. Browse the "redist alternatives" section above for the current picks, or visit /alternatives/redist-r for the full list with editorial commentary on each.