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mlr3proba vs modeldata

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

Shared themes:r-package

mlr3proba vs modeldata: at a glance

Featuremlr3probamodeldata
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmlr3, survival-analysis, probabilistic-learning, dependency-maintenancetidymodels, example-data, simulation, teaching-data
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

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 →

What is modeldata?

The tidymodels example-data package grows one dataset at a time, on nobody's schedule

modeldata exists to supply the datasets and simulation functions that tidymodels documentation, tests, and teaching material depend on. Releases arrive roughly once or twice a year and consist almost entirely of new data sets plus occasional simulation methods. The most recent work adds a Worley (1987) regression simulation and moves the package off the magrittr pipe onto base R's.

Read the full modeldata trajectory →

mlr3proba vs modeldata: editorial side-by-side

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.

M
modeldata
ANALYTICS
0.0

The tidymodels example-data package grows one dataset at a time, on nobody's schedule

◆ Current state

modeldata exists to supply the datasets and simulation functions that tidymodels documentation, tests, and teaching material depend on. Releases arrive roughly once or twice a year and consist almost entirely of new data sets plus occasional simulation methods. The most recent work adds a Worley (1987) regression simulation and moves the package off the magrittr pipe onto base R's.

◆ Where it's heading

Two lines run through the history: broadening coverage of task types — ordinal classification, multinomial, regression, QSAR-style chemistry data — and building out synthetic simulation so tutorials can demonstrate a method without shipping a real dataset for it. The simulation side has grown from a single regression generator into a family with logistic and multinomial variants and a keep_truth option that exposes the error-free outcome. Infrastructure changes appear only when the wider tidyverse moves, as the base-pipe transition shows.

◆ Prediction

The pattern points to another simulation method or a dataset filling a task type the collection still lacks, rather than any change in what the package does.

Alternatives to mlr3proba and modeldata

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 mlr3proba or modeldata.

See all mlr3proba alternatives → · See all modeldata alternatives →

Recent activity from mlr3proba and modeldata

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 agomodeldatamodeldata 1.5.1 fixes documentation and column-name typos
  8. 1y agomodeldatamodeldata 1.5.0 adds a Worley (1987) regression simulation
  9. 2y agomodeldatamodeldata 1.4.0 adds the cat_adoption data set
  10. 2y agomodeldatamodeldata 1.3.0 adds the deliveries data set
  11. 3y agomodeldatamodeldata 1.2.0 adds eight data sets across regression and classification
  12. 3y agomodeldatamodeldata 1.1.0 adds logistic and multinomial simulation plus keep_truth

Frequently asked questions

What is the difference between mlr3proba and modeldata?

Both compete on the same themes — r-package — within Analytics. mlr3proba and modeldata 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 mlr3proba better than modeldata?

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

What are the best alternatives to modeldata?

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