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Displayr vs mlr3proba

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

Displayr vs mlr3proba: at a glance

FeatureDisplayrmlr3proba
SectorAnalyticsAnalytics
Velocity score5.00.0
Sparks · 30d00
Top themessurvey-analysis, ai-transparency, chat, templatesmlr3, survival-analysis, probabilistic-learning, dependency-maintenance
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 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 →

Displayr vs mlr3proba: 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
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 Displayr 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 Displayr or mlr3proba.

See all Displayr alternatives → · See all mlr3proba alternatives →

Recent activity from Displayr and mlr3proba

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. 1mo agoDisplayrMore transparency when working with Chat
  7. 2mo agomlr3probamlr3proba 0.8.10 registers itself in the mlr3 loaded-packages registry
  8. 4mo agomlr3probamlr3proba 0.8.9 drops LearnerDensPenalized after pendensity left CRAN
  9. 5mo agomlr3probamlr3proba 0.8.8
  10. 5mo agomlr3probamlr3proba 0.8.7
  11. 9mo agomlr3probamlr3proba 0.8.5
  12. 10mo agomlr3probamlr3proba 0.8.4 takes over the Cox proportional-hazards autoplot

Frequently asked questions

What is the difference between Displayr and mlr3proba?

They serve adjacent needs but don't currently overlap on shipped themes. Displayr is currently shipping more aggressively (velocity 5.0 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 Displayr better than mlr3proba?

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