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esquisse vs mlr3mbo

A side-by-side editorial comparison of esquisse and mlr3mbo — release velocity, themes, recent moves, and the top alternatives to consider.

esquisse vs mlr3mbo: at a glance

Featureesquissemlr3mbo
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesr-shiny, ggplot, modules, data-exportbayesian-optimization, mlr3, hyperparameter-tuning, r-stats
Last editorial update1h ago4h 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 mlr3mbo?

mlr3mbo picked its defaults from a benchmark study, not from taste

mlr3mbo does model-based and Bayesian optimisation for mlr3. Its 1.0.0 release added a dictionary of pre-built acquisition-function optimisers and, more consequentially, replaced the default surrogate, acquisition function and optimiser settings with values derived from a large-scale benchmark study. The releases since are corrections to the acquisition-optimiser path exposed by that new default configuration.

Read the full mlr3mbo trajectory →

esquisse vs mlr3mbo: 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.

M
mlr3mbo
ANALYTICS
2.5

mlr3mbo picked its defaults from a benchmark study, not from taste

◆ Current state

mlr3mbo does model-based and Bayesian optimisation for mlr3. Its 1.0.0 release added a dictionary of pre-built acquisition-function optimisers and, more consequentially, replaced the default surrogate, acquisition function and optimiser settings with values derived from a large-scale benchmark study. The releases since are corrections to the acquisition-optimiser path exposed by that new default configuration.

◆ Where it's heading

The package has moved from a toolkit that expected users to assemble a Bayesian optimisation loop into one with a defensible default loop, and the recent fixes — warm-start sizing on multi-objective archives, silently discarded terminators, stale x_domain values — are the consequences of more people running the default path.

◆ Prediction

Expect continued hardening of the acquisition-optimiser classes rather than new acquisition functions.

Alternatives to esquisse and mlr3mbo

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 mlr3mbo.

See all esquisse alternatives → · See all mlr3mbo alternatives →

Recent activity from esquisse and mlr3mbo

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

  1. 23d agomlr3mboAcquisition optimiser fixes for warm starts and archives
  2. 3mo agomlr3mboDictionary lookup and restart-limit fixes
  3. 4mo agomlr3mborush 1.0.0 compatibility and Surrogate$check()
  4. 5mo agomlr3mbomlr3mbo 1.0.0 ships benchmark-derived default settings
  5. 10mo agomlr3mbomlr3learners 0.13.0 compatibility
  6. 11mo agomlr3mboMaintainer change and mlr3pipelines 0.9.0 upkeep
  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 mlr3mbo?

They serve adjacent needs but don't currently overlap on shipped themes. mlr3mbo 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 esquisse better than mlr3mbo?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mlr3mbo 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 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 mlr3mbo?

Top mlr3mbo alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3mbo alternatives" section above for the current picks, or visit /alternatives/mlr3mbo for the full list with editorial commentary on each.