mlr3mbo
mlr3mbo picked its defaults from a benchmark study, not from taste
Comparison · Analytics
desirability2 vs gganimate
A side-by-side editorial comparison of desirability2 and gganimate — release velocity, themes, recent moves, and the top alternatives to consider.
desirability2 vs gganimate: at a glance
What is desirability2?
desirability2 is making multi-metric model selection a first-class tidymodels step.
desirability2 implements desirability functions, which map several metrics onto a common 0-1 scale so they can be combined into a single objective. The package is young: three releases, the first of which only added a NEWS file. Its substance arrived in 0.1.0 with hooks into tidymodels' tune package.
What is gganimate?
gganimate is in caretaker mode, tracking ggplot2 and little else
gganimate animates ggplot2 graphics, and its recent releases are almost entirely about staying compatible with ggplot2 itself. The last two releases exist to adapt to ggplot2 v4; the substantive work sits back in 1.0.9, which fixed transition bugs and moved internals onto vctrs, cli and lifecycle.
desirability2 vs gganimate: editorial side-by-side
desirability2
0.0ANALYTICS
desirability2 is making multi-metric model selection a first-class tidymodels step.
◆ Current state
desirability2 implements desirability functions, which map several metrics onto a common 0-1 scale so they can be combined into a single objective. The package is young: three releases, the first of which only added a NEWS file. Its substance arrived in 0.1.0 with hooks into tidymodels' tune package.
◆ Where it's heading
The direction is integration rather than standalone use. Version 0.1.0 added select_best_desirability() and show_best_desirability() to resolve a tuning run against several metrics at once; 0.2.0 exported make_desirability_cols() so other packages can build on it and made data-driven limits the default, removing the need to state ranges by hand. Both releases move work from the user into the package.
◆ Prediction
The exported helper and the developer-facing desirability() API point to adoption by other tidymodels packages as the next step rather than new functionality here.
gganimate
0.0ANALYTICS
gganimate is in caretaker mode, tracking ggplot2 and little else
◆ Current state
gganimate animates ggplot2 graphics, and its recent releases are almost entirely about staying compatible with ggplot2 itself. The last two releases exist to adapt to ggplot2 v4; the substantive work sits back in 1.0.9, which fixed transition bugs and moved internals onto vctrs, cli and lifecycle.
◆ Where it's heading
Development is reactive rather than directional: the package follows ggplot2's internal changes and fixes transition edge cases as they are reported. Renderer work — ragg support, dropping the png dependency for gifski — has been the only place new capability appeared, and that was several years ago.
◆ Prediction
The next release is most likely another ggplot2 compatibility pass; nothing in these entries points to new transition types or renderers.
Alternatives to desirability2 and gganimate
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 desirability2 or gganimate.
loo
loo keeps rewriting the diagnostics Bayesian modellers read off model comparison
mlr3fselect
mlr3fselect turned feature selection into an asynchronous, distributable job
lime
lime survives on compatibility patches years after its research moment
mlr3measures
mlr3measures is systematically retrofitting sample weights across every metric
mlr3cluster
mlr3cluster went from a handful of clusterers to covering the field
See all desirability2 alternatives → · See all gganimate alternatives →
Recent activity from desirability2 and gganimate
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 11mo agogganimateLabel rendering fix for ggplot2 v4
- 11mo agodesirability2make_desirability_cols() exported; data-driven limits on by default
- 1y agodesirability2Desirability-based model selection added for tune ⚡
- 1y agogganimateAdapted for the upcoming ggplot2 release
- 2y agogganimateTransition fixes and a move onto vctrs, cli and lifecycle
- 3y agodesirability2NEWS.md added to track package changes
- 3y agogganimateTransition and ffmpeg detection bug fixes
- 5y agogganimateSupport for the ragg PNG device
- 6y agogganimategifski rendering no longer needs the png package
Frequently asked questions
What is the difference between desirability2 and gganimate?
They serve adjacent needs but don't currently overlap on shipped themes. desirability2 and gganimate 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 desirability2 better than gganimate?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. desirability2 and gganimate 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 desirability2?
Top desirability2 alternatives in Analytics are ranked by recent ship velocity. Browse the "desirability2 alternatives" section above for the current picks, or visit /alternatives/desirability2 for the full list with editorial commentary on each.
What are the best alternatives to gganimate?
Top gganimate alternatives in Analytics are ranked by recent ship velocity. Browse the "gganimate alternatives" section above for the current picks, or visit /alternatives/gganimate for the full list with editorial commentary on each.