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esquisse vs posterior

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

esquisse vs posterior: at a glance

Featureesquisseposterior
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-shiny, ggplot, modules, data-exportbayesian, rvar, pareto-diagnostics, r-infrastructure
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

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 →

What is posterior?

posterior keeps deepening two things: the rvar type and Pareto-based diagnostics.

The releases in this window advance on two fronts. The rvar random-variable type gained factor and ordered subtypes (1.4.0), rvar-indexed slicing and `rvar_ifelse()` (1.5.0), base `%*%` matrix multiplication and indexed variable names (1.6.0). Separately, Pareto diagnostics have grown from `pareto_smooth()` options and individual `pareto_khat()`-family functions (1.6.0) through `pit()` for draws and rvars (1.6.1) to exported generalized-Pareto functions and `pareto_pit` (1.7.0). 1.7.1 is a paperwork release for a JOSS submission.

Read the full posterior trajectory →

esquisse vs posterior: editorial side-by-side

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.

P
posterior
ANALYTICS
0.0

posterior keeps deepening two things: the rvar type and Pareto-based diagnostics.

◆ Current state

The releases in this window advance on two fronts. The rvar random-variable type gained factor and ordered subtypes (1.4.0), rvar-indexed slicing and `rvar_ifelse()` (1.5.0), base `%*%` matrix multiplication and indexed variable names (1.6.0). Separately, Pareto diagnostics have grown from `pareto_smooth()` options and individual `pareto_khat()`-family functions (1.6.0) through `pit()` for draws and rvars (1.6.1) to exported generalized-Pareto functions and `pareto_pit` (1.7.0). 1.7.1 is a paperwork release for a JOSS submission.

◆ Where it's heading

posterior is positioning itself as shared infrastructure rather than an end-user package: 1.7.0 explicitly exports generalized-Pareto machinery 'for use in other packages', and the JOSS paper is a citation vehicle for the same audience. The rvar work points the same way — a random-variable type other Bayesian packages can build on. Cadence is steady but unhurried, roughly one feature release a year.

◆ Prediction

More diagnostic functions are likely to be exported for downstream reuse, following the pattern 1.7.0 established with the generalized-Pareto helpers.

Alternatives to esquisse and posterior

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 esquisse or posterior.

See all esquisse alternatives → · See all posterior alternatives →

Recent activity from esquisse and posterior

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

  1. 2mo agoposteriorposterior 1.7.1 released for JOSS paper
  2. 3mo agoposteriorposterior 1.7.0 exports generalized-Pareto functions
  3. 10mo agoposteriorposterior 1.6.1 adds pit() for draws and rvars
  4. 1y agoposteriorposterior 1.6.0 adds Pareto diagnostics and ESS-based thinning
  5. 2y agoposteriorposterior 1.5.0 adds nested-Rhat and rvar indexing
  6. 3y agoposteriorposterior 1.4.0 adds factor and ordered rvar subtypes
  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 esquisse and posterior?

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

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

What are the best alternatives to posterior?

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