rnaturalearth
rnaturalearth finished its sp exit and is now optimising how the data actually arrives.
A side-by-side editorial comparison of esquisse and mlr3viz — release velocity, themes, recent moves, and the top alternatives to consider.
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.
mlr3viz keeps the ecosystem's plots working while the plots themselves move out
mlr3viz supplies autoplot methods across mlr3 objects — learners, resample and benchmark results, tuning instances, ensemble feature-selection results. Recent releases are mostly defensive: suppressing ggplot2::fortify() warnings on ROC and PRC curves, pinning legend order so plots are deterministic across ggplot2 environments, and tracking mlr3 1.7.2. A visible piece of scope also left, with the LearnerSurvCoxPH plot moving to mlr3proba.
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.
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.
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.
mlr3viz supplies autoplot methods across mlr3 objects — learners, resample and benchmark results, tuning instances, ensemble feature-selection results. Recent releases are mostly defensive: suppressing ggplot2::fortify() warnings on ROC and PRC curves, pinning legend order so plots are deterministic across ggplot2 environments, and tracking mlr3 1.7.2. A visible piece of scope also left, with the LearnerSurvCoxPH plot moving to mlr3proba.
The package is being narrowed toward generic plotting infrastructure while learner-specific plots migrate to the packages that own those learners. What it does add is access rather than new charts — passing parameters through to precrec::autoplot(), better hints when the wrong autoplot type is requested, and a confidence-interval plot for mlr3inferr. Determinism across ggplot2 versions has become a recurring concern, which is what happens when a visualization package is depended on by documentation and tests.
Following the Cox proportional-hazards precedent, further learner-specific plots are likely to move to their owning packages, leaving mlr3viz with the cross-cutting result objects.
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 mlr3viz.
rnaturalearth finished its sp exit and is now optimising how the data actually arrives.
writexl spent nine years refusing to do formatting, then shipped all of it in 2.0.0.
rgbif is steadily pushing users off paged searching and onto real downloads.
rstanarm is community-maintained now, tracking Stan and lme4 rather than adding models.
taxa started a ground-up rewrite in 2021 and has published almost nothing since.
rotl's whole release history is keeping name matching honest against a moving taxonomy.
See all esquisse alternatives → · See all mlr3viz alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. mlr3viz 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mlr3viz 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.
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.
Top mlr3viz alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3viz alternatives" section above for the current picks, or visit /alternatives/mlr3viz for the full list with editorial commentary on each.