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Comparison · Analytics

bayesplot vs rstanarm

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

Shared themes:stan

bayesplot vs rstanarm: at a glance

Featurebayesplotrstanarm
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesbayesian workflow, stan, posterior predictive checks, ggplot2 compatibilitybayesian, stan, regression-models, dependency-migration
Last editorial update5h ago1h ago
WebsiteVisit →Visit →

What is bayesplot?

bayesplot keeps widening its posterior-check catalogue while absorbing each ggplot2 break.

bayesplot supplies the plotting layer for Stan-adjacent Bayesian workflows: posterior predictive checks, MCMC diagnostics and LOO diagnostics. Releases through 2025 alternate between new plot families and keeping pace with ggplot2, which changed behavior twice in the visible window. Contributions increasingly arrive from outside the core Stan team.

Read the full bayesplot 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 →

bayesplot vs rstanarm: editorial side-by-side

B
bayesplot
ANALYTICS
0.0

bayesplot keeps widening its posterior-check catalogue while absorbing each ggplot2 break.

◆ Current state

bayesplot supplies the plotting layer for Stan-adjacent Bayesian workflows: posterior predictive checks, MCMC diagnostics and LOO diagnostics. Releases through 2025 alternate between new plot families and keeping pace with ggplot2, which changed behavior twice in the visible window. Contributions increasingly arrive from outside the core Stan team.

◆ Where it's heading

Two forces drive the release line: expanding what can be checked visually, and absorbing upstream ggplot2 churn. The 1.13-1.14 pair shows the first, adding LOO-PIT ECDF plots, quantile dot plots and discrete-data handling across the stat family, while 1.12 and 1.15 are largely spent on ggplot2 3.6 and 4.0 compatibility. The recurring new-contributor lists suggest maintenance load is being spread rather than concentrated.

◆ Prediction

Discrete-data support has rolled out plot family by plot family across three releases; the next release most likely continues that sweep and finishes the ggplot2 v4 adaptation.

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 bayesplot 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 bayesplot or rstanarm.

See all bayesplot alternatives → · See all rstanarm alternatives →

Recent activity from bayesplot and rstanarm

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

  1. 8mo agobayesplotmcmc_scatter gains shape; pre-ggplot2 v4 theme behavior restored
  2. 10mo agorstanarmrstanarm 2.32.2 migrates formula machinery to reformulas
  3. 11mo agobayesplotQuantile dot plots and broader discrete-data support
  4. 1y agobayesplotppc_loo_pit_ecdf() added; KM overlays gain truncation control
  5. 1y agobayesplotggplot2 3.6 compatibility and a run of plot-data fixes
  6. 2y agobayesplotPatch caps ppc_pit_ecdf evaluation points at 1000
  7. 2y agorstanarmrstanarm 2.32.1 fixes unit_vector error, enables LTO
  8. 2y agobayesplotbins/breaks across histograms; all LOO plots accept psis_object
  9. 2y agorstanarmrstanarm 2.26.1 adopts new rstan syntax and as_draws()
  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 bayesplot and rstanarm?

Both compete on the same themes — stan — within Analytics. bayesplot 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 bayesplot better than rstanarm?

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

Top bayesplot alternatives in Analytics are ranked by recent ship velocity. Browse the "bayesplot alternatives" section above for the current picks, or visit /alternatives/bayesplot 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.