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Comparison · Analytics

bayestestR vs esquisse

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

bayestestR vs esquisse: at a glance

FeaturebayestestResquisse
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesbayesian, diagnostics, stan, easystatsr-shiny, ggplot, modules, data-export
Last editorial update6h ago1h ago
WebsiteVisit →Visit →

What is bayestestR?

Bayesian diagnostics get stricter defaults while the Stan backend list widens

bayestestR is the diagnostics and hypothesis-testing layer of the easystats stack, and its recent releases have concentrated on two things: reporting the right uncertainty numbers by default, and accepting posterior draws from more sources. The 0.18.x line added CmdStanFit support alongside the existing rstanarm/brms paths and switched effective-sample-size reporting to tail-ESS. Bug-fix releases in between are mostly CRAN-check maintenance.

Read the full bayestestR trajectory →

What is esquisse?

esquisse's 1.0 turned a point-and-click addin into embeddable Shiny modules.

The visible history covers the 1.0 line only. 1.0.0 is the substantial one: modules for importing data (via datamods) and exporting plots, a `ggplot_output()` / `render_ggplot()` pair, manual colour palettes, aesthetic parameter selection, more export formats including pptx, and typography controls. 1.0.1 and 1.0.2 are corrective — sf object handling, package-sourced data, disabled-panel label controls, and an `output_format` argument on the save modal.

Read the full esquisse trajectory →

bayestestR vs esquisse: editorial side-by-side

B
bayestestR
ANALYTICS
0.0

Bayesian diagnostics get stricter defaults while the Stan backend list widens

◆ Current state

bayestestR is the diagnostics and hypothesis-testing layer of the easystats stack, and its recent releases have concentrated on two things: reporting the right uncertainty numbers by default, and accepting posterior draws from more sources. The 0.18.x line added CmdStanFit support alongside the existing rstanarm/brms paths and switched effective-sample-size reporting to tail-ESS. Bug-fix releases in between are mostly CRAN-check maintenance.

◆ Where it's heading

The package is converging on a single posture: work with raw MCMC draws from anywhere, and report the diagnostic that actually governs the interval being shown. Successive releases have swapped defaults rather than added surface area, and the efficiency work in 0.16.x aimed squarely at large brms and rstanarm fits. Output formatting is drifting toward the shared easystats display() and tinytable path.

◆ Prediction

Expect continued backend coverage on the Stan side and further alignment of print/display behavior with insight and the rest of easystats; the entries do not show a push into new inference methods.

E
esquisse
ANALYTICS
0.0

esquisse's 1.0 turned a point-and-click addin into embeddable Shiny modules.

◆ Current state

The visible history covers the 1.0 line only. 1.0.0 is the substantial one: modules for importing data (via datamods) and exporting plots, a `ggplot_output()` / `render_ggplot()` pair, manual colour palettes, aesthetic parameter selection, more export formats including pptx, and typography controls. 1.0.1 and 1.0.2 are corrective — sf object handling, package-sourced data, disabled-panel label controls, and an `output_format` argument on the save modal.

◆ Where it's heading

The arc runs from a self-contained RStudio addin toward a component library other people build with: once plot rendering and export exist as Shiny modules, esquisse's ggplot builder can be dropped inside someone else's app rather than only launched beside RStudio. The two follow-up releases are consolidation on that surface rather than expansion of it.

◆ Prediction

Further work most likely lands on the module API and export coverage, since that is where 1.0.0 put the new surface and where 1.0.2 already returned. The entries do not indicate anything about cadence beyond this line.

Alternatives to bayestestR and esquisse

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 bayestestR or esquisse.

See all bayestestR alternatives → · See all esquisse alternatives →

Recent activity from bayestestR and esquisse

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

  1. 2mo agobayestestRmcse() gains a centrality argument
  2. 2mo agobayestestRCmdStanFit support and tail-ESS as the default diagnostic
  3. 11mo agobayestestRrope() gains complement probabilities; display() methods added
  4. 1y agobayestestRdescribe_posterior() efficiency and multinomial handling
  5. 1y agobayestestReffects argument changes behavior for large brms/rstanarm fits
  6. 1y agobayestestRTail ESS returned from effective_sample() and its callers
  7. 5y agoesquisseesquisse v1.0.2
  8. 5y agoesquisseesquisse 1.0.1 fixes sf, package data and label controls
  9. 5y agoesquisseesquisse 1.0.0 ships embeddable plot and export modules

Frequently asked questions

What is the difference between bayestestR and esquisse?

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

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

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

What are the best alternatives to esquisse?

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