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mlr3viz vs tidyposterior

A side-by-side editorial comparison of mlr3viz and tidyposterior — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

mlr3viz vs tidyposterior: at a glance

Featuremlr3viztidyposterior
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themesmlr3, visualization, ggplot2, roc-curvestidymodels, bayesian-analysis, model-comparison, maintenance-mode
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is mlr3viz?

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.

Read the full mlr3viz trajectory →

What is tidyposterior?

A finished Bayesian model-comparison package in pure maintenance mode

tidyposterior compares model performance using Bayesian resampling analysis, and it reached its intended shape years ago. Every release since 1.0.0 has been maintenance: a broken test under R-devel, a maintainer email change, and most recently compatibility with an upcoming ggplot2 release plus the base-pipe transition. The substantive API decisions — autoplot() over ggplot() methods, tibble returns from contrast_models() — were settled in the 0.x series.

Read the full tidyposterior trajectory →

mlr3viz vs tidyposterior: editorial side-by-side

M
mlr3viz
ANALYTICS
2.5

mlr3viz keeps the ecosystem's plots working while the plots themselves move out

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

T
tidyposterior
ANALYTICS
0.0

A finished Bayesian model-comparison package in pure maintenance mode

◆ Current state

tidyposterior compares model performance using Bayesian resampling analysis, and it reached its intended shape years ago. Every release since 1.0.0 has been maintenance: a broken test under R-devel, a maintainer email change, and most recently compatibility with an upcoming ggplot2 release plus the base-pipe transition. The substantive API decisions — autoplot() over ggplot() methods, tibble returns from contrast_models() — were settled in the 0.x series.

◆ Where it's heading

The package tracks its dependencies rather than developing on its own line, and the dependencies do the moving: rstanarm API changes, dplyr 1.0.0, testthat 3e, ggplot2. Its integration surface widened once, when perf_mod() gained methods for tuning parameter objects from tune, finetune, and workflowsets, and has been stable since. This is what a completed package in an active ecosystem looks like.

◆ Prediction

Expect the next release to be triggered by an upstream change rather than by anything tidyposterior wants to do differently.

Alternatives to mlr3viz and tidyposterior

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 mlr3viz or tidyposterior.

See all mlr3viz alternatives → · See all tidyposterior alternatives →

Recent activity from mlr3viz and tidyposterior

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

  1. 18d agomlr3vizmlr3viz 0.11.1 pins legend order for deterministic plots
  2. 5mo agomlr3vizmlr3viz 0.11.0 quiets ggplot2 fortify warnings on ROC curves
  3. 1y agotidyposteriortidyposterior 1.0.1.9000 prepares for an upcoming ggplot2 release
  4. 1y agomlr3vizmlr3viz 0.10.1 passes plotting parameters through to precrec
  5. 1y agomlr3vizmlr3viz 0.10.0 adds a LearnerSurvCoxPH plot
  6. 2y agomlr3vizmlr3viz 0.9.0 adds EnsembleFSResult plots
  7. 2y agomlr3vizmlr3viz 0.8.0 tracks paradox 1.0.0
  8. 2y agotidyposteriortidyposterior 1.0.1 fixes a test broken under R-devel
  9. 4y agotidyposteriortidyposterior 1.0.0 modernizes internals to pivot_longer and testthat 3e
  10. 5y agotidyposteriortidyposterior 0.1.0 adds perf_mod() methods for tune and workflowsets
  11. 6y agotidyposteriortidyposterior 0.0.3 returns tibbles and adds a formula override
  12. 7y agotidyposteriortidyposterior 0.0.2 removes example RData files for CRAN

Frequently asked questions

What is the difference between mlr3viz and tidyposterior?

Both compete on the same themes — r-package — within Analytics. 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.

Is mlr3viz better than tidyposterior?

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.

What are the best alternatives to mlr3viz?

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.

What are the best alternatives to tidyposterior?

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