ANALYTICS
writexl spent nine years refusing to do formatting, then shipped all of it in 2.0.0.
Alternatives · analytics tools
stacks alternatives
The best stacks alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 13, 2026
Looking for the best alternatives to stacks? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, stacks shipped 0 meaningful updates in the last 30 days and carries a velocity score of 0.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About stacks
Model stacking in tidymodels, quietly migrating off foreach and onto future
stacks builds ensembles from tidymodels tuning results, and its release history is dominated by one long project: replacing foreach-based parallelism with the future framework. That transition completed in 1.1.0, where foreach backends began being ignored with a warning and the minimum R version rose to 4.1. Releases are infrequent and small, with the most recent being a CRAN re-submission rather than a change.
Velocity 0.0 · Last update 1h ago
Top 12 alternatives to stacks
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
ANALYTICS
mlr3viz keeps the ecosystem's plots working while the plots themselves move out
ANALYTICS
mlr3tuning is rebuilding its async machinery under a stable public surface
ANALYTICS
mlr3mbo picked its defaults from a benchmark study, not from taste
ANALYTICS
rnaturalearth finished its sp exit and is now optimising how the data actually arrives.
ANALYTICS
rgbif is steadily pushing users off paged searching and onto real downloads.
ANALYTICS
rstanarm is community-maintained now, tracking Stan and lme4 rather than adding models.
ANALYTICS
taxa started a ground-up rewrite in 2021 and has published almost nothing since.
ANALYTICS
rotl's whole release history is keeping name matching honest against a moving taxonomy.
ANALYTICS
taxize spends its releases absorbing other people's API changes, one dead source at a time.
ANALYTICS
osmdata keeps tightening its Overpass query surface, breaking small things to get types right.
ANALYTICS
posterior keeps deepening two things: the rvar type and Pareto-based diagnostics.
stacks vs alternatives — shipping velocity at a glance
Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| stacks (baseline) | 0.0 | 0 | tidymodelsensemblingparallel-processing | — |
| writexl | 6.3 | 1 | xlsxlibxlsxwritercell-formatting | writexl 2.0.0 adds formatting, comments and full libxlsxwriter coverage |
| mlr3viz | 2.5 | 0 | mlr3visualizationggplot2 | — |
| mlr3tuning | 2.5 | 0 | mlr3hyperparameter-tuningasync-optimization | — |
| mlr3mbo | 2.5 | 0 | bayesian-optimizationmlr3hyperparameter-tuning | mlr3mbo 1.0.0 ships benchmark-derived default settings |
| rnaturalearth | 0.0 | 0 | spatial-datanatural-earthsf-migration | — |
| rgbif | 0.0 | 0 | gbifbiodiversity-databulk-downloads | rgbif 3.8.1 adds SQL-based occurrence downloads |
| rstanarm | 0.0 | 0 | bayesianstanregression-models | — |
| taxa | 0.0 | 0 | taxonomyvctrsstalled-rewrite | taxa 0.4.0 begins a base-R-vector rewrite without taxmap |
| rotl | 0.0 | 0 | open-tree-of-lifetaxonomic-matchingreproducibility | — |
| taxize | 0.0 | 0 | taxonomyapi-aggregationupstream-churn | — |
| osmdata | 0.0 | 0 | openstreetmapoverpass-apispatial-data | — |
| posterior | 0.0 | 0 | bayesianrvarpareto-diagnostics | — |
The 12 best stacks alternatives, in depth
1. writexl · velocity 6.3
Writexl spent nine years refusing to do formatting, then shipped all of it in 2.0.0.
Over the last 30 days writexl shipped 1 meaningful update vs stacks's 0, most recently “writexl 2.0.0 adds formatting, comments and full libxlsxwriter coverage”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where stacks leans on tidymodels, ensembling and parallel processing, writexl focuses on xlsx, libxlsxwriter and cell formatting.
Over the last 30 days writexl has been shipping faster than stacks — a point in its favour if release momentum matters to you.
2. mlr3viz · velocity 2.5
Mlr3viz keeps the ecosystem's plots working while the plots themselves move out.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where stacks leans on tidymodels, ensembling and parallel processing, mlr3viz focuses on mlr3, visualization and ggplot2.
mlr3viz and stacks have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
3. mlr3tuning · velocity 2.5
Mlr3tuning is rebuilding its async machinery under a stable public surface.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where stacks leans on tidymodels, ensembling and parallel processing, mlr3tuning focuses on mlr3, hyperparameter tuning and async optimization.
mlr3tuning and stacks have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full mlr3tuning trajectory → · Compare stacks vs mlr3tuning →
4. mlr3mbo · velocity 2.5
Mlr3mbo picked its defaults from a benchmark study, not from taste.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “mlr3mbo 1.0.0 ships benchmark-derived default settings”.
Where stacks leans on tidymodels, ensembling and parallel processing, mlr3mbo focuses on bayesian optimization, mlr3 and hyperparameter tuning.
mlr3mbo and stacks have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. rnaturalearth · velocity 0.0
Rnaturalearth finished its sp exit and is now optimising how the data actually arrives.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where stacks leans on tidymodels, ensembling and parallel processing, rnaturalearth focuses on spatial data, natural earth and sf migration.
rnaturalearth and stacks have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full rnaturalearth trajectory → · Compare stacks vs rnaturalearth →
6. rgbif · velocity 0.0
Rgbif is steadily pushing users off paged searching and onto real downloads.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “rgbif 3.8.1 adds SQL-based occurrence downloads”.
Where stacks leans on tidymodels, ensembling and parallel processing, rgbif focuses on gbif, biodiversity data and bulk downloads.
rgbif and stacks have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
7. rstanarm · velocity 0.0
Rstanarm is community-maintained now, tracking Stan and lme4 rather than adding models.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where stacks leans on tidymodels, ensembling and parallel processing, rstanarm focuses on bayesian, stan and regression models.
rstanarm and stacks have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
8. taxa · velocity 0.0
Taxa started a ground-up rewrite in 2021 and has published almost nothing since.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “taxa 0.4.0 begins a base-R-vector rewrite without taxmap”.
Where stacks leans on tidymodels, ensembling and parallel processing, taxa focuses on taxonomy, vctrs and stalled rewrite.
taxa and stacks have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
9. rotl · velocity 0.0
Rotl's whole release history is keeping name matching honest against a moving taxonomy.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where stacks leans on tidymodels, ensembling and parallel processing, rotl focuses on open tree of life, taxonomic matching and reproducibility.
rotl and stacks have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
10. taxize · velocity 0.0
Taxize spends its releases absorbing other people's API changes, one dead source at a time.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where stacks leans on tidymodels, ensembling and parallel processing, taxize focuses on taxonomy, api aggregation and upstream churn.
taxize and stacks have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
11. osmdata · velocity 0.0
Osmdata keeps tightening its Overpass query surface, breaking small things to get types right.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where stacks leans on tidymodels, ensembling and parallel processing, osmdata focuses on openstreetmap, overpass api and spatial data.
osmdata and stacks have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
12. posterior · velocity 0.0
Posterior keeps deepening two things: the rvar type and Pareto-based diagnostics.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where stacks leans on tidymodels, ensembling and parallel processing, posterior focuses on bayesian, rvar and pareto diagnostics.
posterior and stacks have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Frequently asked questions
What are the best alternatives to stacks?
The top stacks alternatives we currently track in analytics tools are writexl, mlr3viz, mlr3tuning, mlr3mbo, rnaturalearth, ranked by recent ship velocity.
How is this list of stacks alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare stacks directly with one of these alternatives?
Yes — every card has a "Compare with stacks" link to a side-by-side /compare page.