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Comparison · Analytics

Displayr vs mlr3viz

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

Displayr vs mlr3viz: at a glance

FeatureDisplayrmlr3viz
SectorAnalyticsAnalytics
Velocity score5.02.5
Sparks · 30d00
Top themessurvey-analysis, ai-transparency, chat, templatesmlr3, visualization, ggplot2, roc-curves
Last editorial update16h ago1h ago
WebsiteVisit →Visit →

What is Displayr?

Chat is being made legible while the survey-analysis core picks up the fundamentals it lacked.

Displayr is shipping on two fronts at a steady, unhurried cadence. The AI assistant is being made auditable rather than more capable — a context pill showing exactly what a prompt will send, a change summary listing every item Chat added, edited or deleted, and an Explain This button that routes errors and warnings into Chat with context attached. Separately the document core is filling in fundamentals: controls that stay synced across pages and page masters, rolling averages computed on date-keyed tables, browser-style back and forward navigation, and templates that can be saved as folder-scoped defaults.

Read the full Displayr 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 →

Displayr vs mlr3viz: editorial side-by-side

D
Displayr
ANALYTICS
5.0

Chat is being made legible while the survey-analysis core picks up the fundamentals it lacked.

◆ Current state

Displayr is shipping on two fronts at a steady, unhurried cadence. The AI assistant is being made auditable rather than more capable — a context pill showing exactly what a prompt will send, a change summary listing every item Chat added, edited or deleted, and an Explain This button that routes errors and warnings into Chat with context attached. Separately the document core is filling in fundamentals: controls that stay synced across pages and page masters, rolling averages computed on date-keyed tables, browser-style back and forward navigation, and templates that can be saved as folder-scoped defaults.

◆ Where it's heading

The Chat work reads as a deliberate answer to the trust problem with AI in analyst tools — every release makes what the assistant touched inspectable rather than expanding what it can do unprompted. The other track is closing gaps a long-standing survey analysis platform accumulates, with the default-template mechanic notable for scoping defaults by Cloud Drive folder, which turns a personal preference into an organizational standard. Neither track has produced a directional move in this window.

◆ Prediction

Expect the transparency pattern to extend to Chat actions that modify data rather than layout, since the change summary establishes the mechanism. Folder-scoped defaults look like the start of broader template governance.

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 Displayr 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 Displayr or mlr3viz.

See all Displayr alternatives → · See all mlr3viz alternatives →

Recent activity from Displayr and mlr3viz

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

  1. 23h agoDisplayrUse the Same Control Across Multiple Pages and Page Masters
  2. 23h agoDisplayrRolling Averages Computed Automatically on Tables
  3. 16d agoDisplayrExplain This — AI help for errors & warnings
  4. 16d agoDisplayrBack and Forward Buttons for Navigation
  5. 16d agoDisplayrSave Templates as Default Visualizations
  6. 18d agomlr3vizmlr3viz 0.11.1 pins legend order for deterministic plots
  7. 1mo agoDisplayrMore transparency when working with Chat
  8. 5mo agomlr3vizmlr3viz 0.11.0 quiets ggplot2 fortify warnings on ROC curves
  9. 1y agomlr3vizmlr3viz 0.10.1 passes plotting parameters through to precrec
  10. 1y agomlr3vizmlr3viz 0.10.0 adds a LearnerSurvCoxPH plot
  11. 2y agomlr3vizmlr3viz 0.9.0 adds EnsembleFSResult plots
  12. 2y agomlr3vizmlr3viz 0.8.0 tracks paradox 1.0.0

Frequently asked questions

What is the difference between Displayr and mlr3viz?

They serve adjacent needs but don't currently overlap on shipped themes. Displayr is currently shipping more aggressively (velocity 5.0 vs 2.5), 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 Displayr better than mlr3viz?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Displayr is currently shipping more aggressively (velocity 5.0 vs 2.5), 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 Displayr?

Top Displayr alternatives in Analytics are ranked by recent ship velocity. Browse the "Displayr alternatives" section above for the current picks, or visit /alternatives/displayr 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.