metatools
SDTM supplemental-qualifier merging got sturdier, then the package went quiet for two years.
A side-by-side editorial comparison of marquee and mlr3fda — release velocity, themes, recent moves, and the top alternatives to consider.
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.
A functional-data feature factory for mlr3, shipping a new extractor almost every month.
mlr3fda adds functional data support to mlr3 pipelines through PipeOps that turn functional columns into tabular features. Five releases since March 2026 have taken it from Fourier features to a catalogue covering wavelets, derivatives, depth, registration, integration and the catch22 time-series feature set. Development tracks the {tf} package closely.
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.
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.
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.
mlr3fda adds functional data support to mlr3 pipelines through PipeOps that turn functional columns into tabular features. Five releases since March 2026 have taken it from Fourier features to a catalogue covering wavelets, derivatives, depth, registration, integration and the catch22 time-series feature set. Development tracks the {tf} package closely.
The pattern is one or two new PipeOps per release with fixes to the previous batch alongside — Fourier in 0.4.0, registration in 0.5.0, depth and derivatives in 0.6.0, catch22 and integration in 0.7.0. Performance and parallel-safety work is folded in as it becomes necessary rather than deferred, as with the Fourier speedup and the mlr_reflections registration fix.
The extraction catalogue is filling out along established functional-data methods, so further tf-backed PipeOps are the likely next additions; the {tf} 0.5.0 compatibility release suggests upstream churn will keep setting the pace.
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 mlr3fda.
SDTM supplemental-qualifier merging got sturdier, then the package went quiet for two years.
A clinical-script logger that stopped shipping after its 0.2 line, changelogs made of merged PRs.
R's object inspector is losing its view of the internals as CRAN closes off the private C API.
A weather-station data client that broke one return type to hand back distances instead of bare IDs.
giscoR's 1.0 moved its dataset index into the cache, so new Eurostat releases arrive without a package update.
FedData has spent two major versions migrating US federal geodata off R's retiring spatial stack.
See all marquee alternatives → · See all mlr3fda alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. mlr3fda 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mlr3fda 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.
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.
Top mlr3fda alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3fda alternatives" section above for the current picks, or visit /alternatives/mlr3fda for the full list with editorial commentary on each.