← Back to home
Comparison · Analytics

bonsai vs rstanarm

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

bonsai vs rstanarm: at a glance

Featurebonsairstanarm
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themestidymodels, gradient-boosting, engines, lightgbmbayesian, stan, regression-models, dependency-migration
Last editorial update7h ago57m ago
WebsiteVisit →Visit →

What is bonsai?

bonsai keeps widening tidymodels' boosted-tree engine bench, catboost most recently

bonsai exists to attach non-core tree engines to parsnip's boost_tree() and rand_forest(), and the release history reads as a steady accumulation of them: partykit, aorsf, lightgbm, and now catboost. The 0.4.x line is spent making catboost behave like a full tidymodels citizen rather than adding anything new.

Read the full bonsai trajectory →

What is rstanarm?

rstanarm is community-maintained now, tracking Stan and lme4 rather than adding models.

2.32.2 is entirely infrastructure and dependency work: formula machinery migrated from lme4 to reformulas, `r_eff` no longer computed for loo by default, the Stan R packages repo replaced by R-Universe, rstantools adopted to fix build and export errors, and CRAN NOTE cleanups — contributed largely by four first-time contributors. 2.32.1 and 2.26.1 follow the same pattern, tracking rstan syntax and adding `posterior::as_draws()` support. The last release with substantive modelling content is 2.21.1, which changed how default priors are determined and flipped `autoscale` to FALSE outside default priors.

Read the full rstanarm trajectory →

bonsai vs rstanarm: editorial side-by-side

B
bonsai
ANALYTICS
0.0

bonsai keeps widening tidymodels' boosted-tree engine bench, catboost most recently

◆ Current state

bonsai exists to attach non-core tree engines to parsnip's boost_tree() and rand_forest(), and the release history reads as a steady accumulation of them: partykit, aorsf, lightgbm, and now catboost. The 0.4.x line is spent making catboost behave like a full tidymodels citizen rather than adding anything new.

◆ Where it's heading

Each engine follows the same arc — land it, then close the gaps that keep it from tuning cleanly (parameter naming, multi_predict, threading, case weights). Recent work is squarely in that second phase for catboost, with dials supplying the matching parameter objects on its own release schedule. Bug-fix density is high relative to new surface.

◆ Prediction

Expect the catboost integration to keep filling in tuning and GPU-related arguments before any further engine is added; the entries give no signal about which engine would come next.

R
rstanarm
ANALYTICS
0.0

rstanarm is community-maintained now, tracking Stan and lme4 rather than adding models.

◆ Current state

2.32.2 is entirely infrastructure and dependency work: formula machinery migrated from lme4 to reformulas, `r_eff` no longer computed for loo by default, the Stan R packages repo replaced by R-Universe, rstantools adopted to fix build and export errors, and CRAN NOTE cleanups — contributed largely by four first-time contributors. 2.32.1 and 2.26.1 follow the same pattern, tracking rstan syntax and adding `posterior::as_draws()` support. The last release with substantive modelling content is 2.21.1, which changed how default priors are determined and flipped `autoscale` to FALSE outside default priors.

◆ Where it's heading

The package has moved from feature development into ecosystem maintenance, and the contributor list shows why it survives: outside developers keep it compiling against a moving Stan, lme4 and CRAN. The `as_draws()` support and the reformulas migration both point the same way — rstanarm increasingly consumes shared infrastructure (posterior, reformulas, rstantools) instead of carrying its own.

◆ Prediction

Expect the next release to track another upstream change — rstan, reformulas or CRAN policy — rather than add model families. The pre-fit model surface looks settled.

Alternatives to bonsai and rstanarm

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 bonsai or rstanarm.

See all bonsai alternatives → · See all rstanarm alternatives →

Recent activity from bonsai and rstanarm

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

  1. 2mo agobonsaicatboost gains multi_predict() and corrected tuning parameters
  2. 10mo agorstanarmrstanarm 2.32.2 migrates formula machinery to reformulas
  3. 1y agobonsaicatboost engine added to boost_tree()
  4. 1y agobonsailightgbm accepts sparse matrices for fit and predict
  5. 2y agobonsaiaorsf fit failure in multisession workers fixed
  6. 2y agobonsaiaorsf engine added; lightgbm gains dataset params and case weights
  7. 2y agorstanarmrstanarm 2.32.1 fixes unit_vector error, enables LTO
  8. 2y agorstanarmrstanarm 2.26.1 adopts new rstan syntax and as_draws()
  9. 3y agobonsailightgbm num_leaves becomes tunable; alias arguments disallowed
  10. 4y agorstanarmrstanarm 2.21.3 fixes loo() and adds stan_jm offsets
  11. 6y agorstanarmrstanarm 2.21.1 changes default prior behaviour

Frequently asked questions

What is the difference between bonsai and rstanarm?

They serve adjacent needs but don't currently overlap on shipped themes. bonsai and rstanarm 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 bonsai better than rstanarm?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. bonsai and rstanarm 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 bonsai?

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

What are the best alternatives to rstanarm?

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