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bayesplot vs themis

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

bayesplot vs themis: at a glance

Featurebayesplotthemis
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesbayesian workflow, stan, posterior predictive checks, ggplot2 compatibilityr, tidymodels, class-imbalance, resampling
Last editorial update53m ago3h 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 themis?

themis is back to adding real resampling algorithms after a documentation-heavy stretch.

themis supplies recipes steps for handling class imbalance in tidymodels. The 1.0.x line was consumed by documentation accuracy, message translation and internal consistency work. Version 1.1.0 returns to substance with two new under-sampling methods.

Read the full themis trajectory →

bayesplot vs themis: 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.

T
themis
ANALYTICS
2.5

themis is back to adding real resampling algorithms after a documentation-heavy stretch.

◆ Current state

themis supplies recipes steps for handling class imbalance in tidymodels. The 1.0.x line was consumed by documentation accuracy, message translation and internal consistency work. Version 1.1.0 returns to substance with two new under-sampling methods.

◆ Where it's heading

The package grows by adding algorithms rather than restructuring itself. tomek() was rewritten to handle multiple classes and drop the unbalanced dependency, case weights arrived at 1.0.0, and cluster-centroid and condensed-nearest-neighbour under-sampling arrive now — each shipped as both a recipes step and a direct-implementation function.

◆ Prediction

Expect further under- and over-sampling methods in the same paired form, as the package fills out coverage of the standard class-imbalance literature.

Alternatives to bayesplot and themis

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 themis.

See all bayesplot alternatives → · See all themis alternatives →

Recent activity from bayesplot and themis

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

  1. 10d agothemisthemis 1.1.0 adds cluster-centroid and CNN under-sampling
  2. 8mo agobayesplotmcmc_scatter gains shape; pre-ggplot2 v4 theme behavior restored
  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. 1y agothemisthemis 1.0.3 corrects resampling direction in documentation
  7. 2y agobayesplotPatch caps ppc_pit_ecdf evaluation points at 1000
  8. 2y agobayesplotbins/breaks across histograms; all LOO plots accept psis_object
  9. 2y agothemisthemis 1.0.2 makes internal consistency and speed changes
  10. 3y agothemisthemis 1.0.1 fixes upsampling errors when none is needed
  11. 4y agothemisthemis 1.0.0 adds case weights to up- and down-sampling
  12. 4y agothemisthemis 0.2.2 rewrites tomek() for multiclass, drops a dependency

Frequently asked questions

What is the difference between bayesplot and themis?

They serve adjacent needs but don't currently overlap on shipped themes. themis is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is bayesplot better than themis?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. themis is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. 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 themis?

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