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fable vs mlr3viz

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

fable vs mlr3viz: at a glance

Featurefablemlr3viz
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesforecasting, time-series, r-stats, model-classesmlr3, visualization, ggplot2, roc-curves
Last editorial update3h ago1h ago
WebsiteVisit →Visit →

What is fable?

fable keeps widening its model shelf, one econometric class at a time

fable is the tidyverts forecasting engine, and its releases are almost entirely about which model families it can express. The 0.4.x line added the vector-error-correction and VARIMA classes plus impulse-response methods; 0.5.0 adds fractional differencing via ARFIMA. Between those, the releases are CRAN-check patches and documentation passes.

Read the full fable trajectory →

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 →

fable vs mlr3viz: editorial side-by-side

F
fable
ANALYTICS
0.0

fable keeps widening its model shelf, one econometric class at a time

◆ Current state

fable is the tidyverts forecasting engine, and its releases are almost entirely about which model families it can express. The 0.4.x line added the vector-error-correction and VARIMA classes plus impulse-response methods; 0.5.0 adds fractional differencing via ARFIMA. Between those, the releases are CRAN-check patches and documentation passes.

◆ Where it's heading

The package is closing the gap with the older forecast package's model coverage while keeping the tidy model-specification grammar. Each substantive release is a new model class plus the generate()/IRF() plumbing to make it behave like the existing ones. Maintenance releases cluster around CRAN policy and ggplot2/tsibble compatibility rather than internal rewrites.

◆ Prediction

Expect the next substantive release to add another model class or extend generate()/IRF() coverage to the classes that still lack them, rather than change the modelling interface.

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.

Alternatives to fable and mlr3viz

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 fable or mlr3viz.

See all fable alternatives → · See all mlr3viz alternatives →

Recent activity from fable and mlr3viz

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. 6mo agofablefable adds ARFIMA and fractional differencing
  4. 1y agomlr3vizmlr3viz 0.10.1 passes plotting parameters through to precrec
  5. 1y agofableIndexing and generate() fixes for VECM models
  6. 1y agofableVECM and VARIMA models land, plus IRF for VAR and ARIMA
  7. 1y agomlr3vizmlr3viz 0.10.0 adds a LearnerSurvCoxPH plot
  8. 2y agomlr3vizmlr3viz 0.9.0 adds EnsembleFSResult plots
  9. 2y agofablePatch for C++ R header changes
  10. 2y agomlr3vizmlr3viz 0.8.0 tracks paradox 1.0.0
  11. 2y agofableCRAN check patch with generate() fixes
  12. 3y agofableTSLM forecasts gain Student's t intervals

Frequently asked questions

What is the difference between fable and mlr3viz?

They serve adjacent needs but don't currently overlap on shipped themes. 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 fable better than mlr3viz?

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 fable?

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

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.