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marquee vs mlr3extralearners

A side-by-side editorial comparison of marquee and mlr3extralearners — release velocity, themes, recent moves, and the top alternatives to consider.

marquee vs mlr3extralearners: at a glance

Featuremarqueemlr3extralearners
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-lib, typography, markdown, ggplot2mlr3, learner-catalog, h2o, hyperparameters
Last editorial update47m ago2h ago
WebsiteVisit →Visit →

What is marquee?

marquee is filling in the typographic details — outlines, border types, real font metrics for underlines.

marquee renders markdown text onto R graphics devices, and backs element_marquee() and geom_marquee() in ggplot2. Development ran in a tight burst through August and September 2025: 1.1.0 added text outlines, a size shortcut and remote PNG/JPEG support, 1.2.0 added border and outline line types and moved underline placement onto font metrics, and 1.2.1 cleaned up the bugs those introduced.

Read the full marquee trajectory →

What is mlr3extralearners?

The mlr3 learner catalogue is growing fast and pruning hyperparameters just as deliberately.

mlr3extralearners is the overflow catalogue for mlr3 learners that do not ship in the core packages — currently spanning H2O, Botorch, fastai, glmnet, survival and competing-risks models. The last two feature releases added roughly thirty learners between them. 1.6.0 then went the other way, cutting hyperparameters that were never correctly forwarded.

Read the full mlr3extralearners trajectory →

marquee vs mlr3extralearners: editorial side-by-side

M
marquee
ANALYTICS
0.0

marquee is filling in the typographic details — outlines, border types, real font metrics for underlines.

◆ Current state

marquee renders markdown text onto R graphics devices, and backs element_marquee() and geom_marquee() in ggplot2. Development ran in a tight burst through August and September 2025: 1.1.0 added text outlines, a size shortcut and remote PNG/JPEG support, 1.2.0 added border and outline line types and moved underline placement onto font metrics, and 1.2.1 cleaned up the bugs those introduced.

◆ Where it's heading

The package is converging on typographic fidelity rather than new capability. Early work settled layout semantics — CSS margin collapsing, inline padding reserving space during shaping, devices without glyph support — and recent releases refine how decorations are drawn and measured. The naming cleanup in 1.2.0, border_size becoming border_width, reads as an API being tidied ahead of wider use rather than one still being explored.

◆ Prediction

Expect continued small releases sanding down rendering edge cases in ggplot2 contexts, since that is where the recent bug reports come from; nothing here signals a new feature area.

M0.0

The mlr3 learner catalogue is growing fast and pruning hyperparameters just as deliberately.

◆ Current state

mlr3extralearners is the overflow catalogue for mlr3 learners that do not ship in the core packages — currently spanning H2O, Botorch, fastai, glmnet, survival and competing-risks models. The last two feature releases added roughly thirty learners between them. 1.6.0 then went the other way, cutting hyperparameters that were never correctly forwarded.

◆ Where it's heading

Two forces are visible. The catalogue expands in bursts — 1.4.0 and 1.5.0 each added large batches, including a full H2O family and Bayesian regression models — while the maintenance releases in between are dominated by skipping tests on platforms where Python-backed learners crash. 1.6.0 marks a shift toward correctness of the existing surface: priority_lasso parameter sets reduced to what actually passes through, and Cox-inapplicable glmnet parameters removed.

◆ Prediction

The Python-backed learners are the recurring source of platform instability, so expect continued pinning and test-skipping there alongside the next batch of additions.

Alternatives to marquee and mlr3extralearners

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 marquee or mlr3extralearners.

See all marquee alternatives → · See all mlr3extralearners alternatives →

Recent activity from marquee and mlr3extralearners

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

  1. 1mo agomlr3extralearnersHyperparameter sets pruned where arguments were never forwarded
  2. 3mo agomlr3extralearnersDependency version updates
  3. 4mo agomlr3extralearnersPlatform-specific test skips
  4. 4mo agomlr3extralearnersSixteen new learners, including a full H2O family
  5. 6mo agomlr3extralearnersTwenty new learners and a survival learner rename
  6. 11mo agomarqueeBug fixes for relative sizes, outlines and guide width
  7. 11mo agomarqueeBorder and outline line types; underlines follow font metrics
  8. 11mo agomarqueeRotated text width fixed; factor input supported
  9. 0y agomarqueeText outlines, size shortcuts and images from URLs
  10. 1y agomarquee1.0 settles margin collapsing and inline decoration spacing

Frequently asked questions

What is the difference between marquee and mlr3extralearners?

They serve adjacent needs but don't currently overlap on shipped themes. marquee and mlr3extralearners 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 marquee better than mlr3extralearners?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. marquee and mlr3extralearners 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 marquee?

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

What are the best alternatives to mlr3extralearners?

Top mlr3extralearners alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3extralearners alternatives" section above for the current picks, or visit /alternatives/mlr3extralearners for the full list with editorial commentary on each.