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gganimate vs mlr3proba

A side-by-side editorial comparison of gganimate and mlr3proba — release velocity, themes, recent moves, and the top alternatives to consider.

gganimate vs mlr3proba: at a glance

Featuregganimatemlr3proba
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesanimation, ggplot2, r-stats, maintenancemlr3, survival-analysis, probabilistic-learning, dependency-maintenance
Last editorial update3h ago1h ago
WebsiteVisit →Visit →

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.

Read the full gganimate trajectory →

What is mlr3proba?

mlr3proba is shedding weight as its survival work moves into sibling packages

mlr3proba provides probabilistic supervised learning for mlr3 — survival analysis, density estimation, and the measures that go with them. Recent releases are almost entirely upkeep: a distr6 fork to work around an upstream problem, an ooplah fix, a predict-type correction, and registration in mlr_reflections$loaded_packages. The one deletion is telling, with LearnerDensPenalized removed after pendensity left CRAN.

Read the full mlr3proba trajectory →

gganimate vs mlr3proba: editorial side-by-side

G
gganimate
ANALYTICS
0.0

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.

M
mlr3proba
ANALYTICS
0.0

mlr3proba is shedding weight as its survival work moves into sibling packages

◆ Current state

mlr3proba provides probabilistic supervised learning for mlr3 — survival analysis, density estimation, and the measures that go with them. Recent releases are almost entirely upkeep: a distr6 fork to work around an upstream problem, an ooplah fix, a predict-type correction, and registration in mlr_reflections$loaded_packages. The one deletion is telling, with LearnerDensPenalized removed after pendensity left CRAN.

◆ Where it's heading

The package is being pared back rather than extended. Its README now points at survdistr and mlr3cmprsk as matured alternatives for parts of what it covers, which reads as scope being handed off, while the Cox proportional-hazards autoplot arrived from mlr3viz in the other direction. Several fixes exist to route around dependencies that broke or disappeared, which is the recurring cost of building on a long chain of specialized CRAN packages.

◆ Prediction

The dependency churn suggests more consolidation — further reliance on survdistr and mlr3cmprsk, and more learners retired when the package underneath them goes unmaintained.

Alternatives to gganimate and mlr3proba

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 gganimate or mlr3proba.

See all gganimate alternatives → · See all mlr3proba alternatives →

Recent activity from gganimate and mlr3proba

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

  1. 2mo agomlr3probamlr3proba 0.8.10 registers itself in the mlr3 loaded-packages registry
  2. 4mo agomlr3probamlr3proba 0.8.9 drops LearnerDensPenalized after pendensity left CRAN
  3. 5mo agomlr3probamlr3proba 0.8.8
  4. 5mo agomlr3probamlr3proba 0.8.7
  5. 9mo agomlr3probamlr3proba 0.8.5
  6. 10mo agomlr3probamlr3proba 0.8.4 takes over the Cox proportional-hazards autoplot
  7. 11mo agogganimateLabel rendering fix for ggplot2 v4
  8. 1y agogganimateAdapted for the upcoming ggplot2 release
  9. 2y agogganimateTransition fixes and a move onto vctrs, cli and lifecycle
  10. 3y agogganimateTransition and ffmpeg detection bug fixes
  11. 5y agogganimateSupport for the ragg PNG device
  12. 6y agogganimategifski rendering no longer needs the png package

Frequently asked questions

What is the difference between gganimate and mlr3proba?

They serve adjacent needs but don't currently overlap on shipped themes. gganimate and mlr3proba 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 gganimate better than mlr3proba?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. gganimate and mlr3proba 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 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.

What are the best alternatives to mlr3proba?

Top mlr3proba alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3proba alternatives" section above for the current picks, or visit /alternatives/mlr3proba for the full list with editorial commentary on each.