mlr3mbo
mlr3mbo picked its defaults from a benchmark study, not from taste
Comparison · Analytics
discrim vs gganimate
A side-by-side editorial comparison of discrim and gganimate — release velocity, themes, recent moves, and the top alternatives to consider.
discrim vs gganimate: at a glance
What is discrim?
discrim settled into a thin engine shim after handing its model definitions to parsnip.
discrim is the parsnip extension for discriminant analysis, exposing linear, quadratic, flexible and regularized variants through the tidymodels interface. Its model definition functions moved into parsnip itself in 0.2.0, leaving this package as the engine and prediction layer. The two most recent releases are a documentation fix and a single prediction bug.
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.
discrim vs gganimate: editorial side-by-side
discrim
0.0ANALYTICS
discrim settled into a thin engine shim after handing its model definitions to parsnip.
◆ Current state
discrim is the parsnip extension for discriminant analysis, exposing linear, quadratic, flexible and regularized variants through the tidymodels interface. Its model definition functions moved into parsnip itself in 0.2.0, leaving this package as the engine and prediction layer. The two most recent releases are a documentation fix and a single prediction bug.
◆ Where it's heading
The package built out method coverage early, adding quadratic discriminant analysis in 0.1.2, the sda and sparsediscrim engines in 0.1.3 and case weights in 1.0.0, then stopped growing. Handing definitions upstream to parsnip in 0.2.0 confirmed the shape: discrim is where engines are wired, not where the API lives. Cadence since 2022 is roughly one small fix a year.
◆ Prediction
Nothing in the entries points to new methods or engines; the next release is most likely another CRAN or prediction-path fix.
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 discrim 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 discrim 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 discrim alternatives → · See all gganimate alternatives →
Recent activity from discrim and gganimate
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 8mo agodiscrimFix for FDA models failing at prediction time
- 11mo agogganimateLabel rendering fix for ggplot2 v4
- 11mo agodiscrimDocumentation links updated to stay on CRAN
- 1y agogganimateAdapted for the upcoming ggplot2 release
- 2y agogganimateTransition fixes and a move onto vctrs, cli and lifecycle
- 3y agogganimateTransition and ffmpeg detection bug fixes
- 4y agodiscrimCase weights enabled for flexible and linear discriminant models
- 4y agodiscrimModel definitions moved upstream into parsnip
- 5y agodiscrimsda and sparsediscrim engines added for LDA and QDA
- 5y agodiscrimdiscrim_quad() added; package relicensed to MIT ⚡
- 5y agogganimateSupport for the ragg PNG device
- 6y agogganimategifski rendering no longer needs the png package
Frequently asked questions
What is the difference between discrim and gganimate?
They serve adjacent needs but don't currently overlap on shipped themes. discrim 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 discrim better than gganimate?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. discrim 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 discrim?
Top discrim alternatives in Analytics are ranked by recent ship velocity. Browse the "discrim alternatives" section above for the current picks, or visit /alternatives/discrim 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.