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datasetjson vs marquee

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

Shared themes:r-package

datasetjson vs marquee: at a glance

Featuredatasetjsonmarquee
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesclinical-data, cdisc, json, r-packager-lib, typography, markdown, ggplot2
Last editorial update1h ago6h ago
WebsiteVisit →Visit →

What is datasetjson?

datasetjson rebuilt its object model to track the CDISC Dataset-JSON 1.1 schema.

datasetjson reads and writes CDISC Dataset-JSON, the JSON replacement for SAS transport files in clinical-trial submissions. The package went from a thin reader in 2023 to a redesigned interface in 0.3.0 that targets the 1.1.0 schema, uses yyjsonr as its JSON backend, and exposes column metadata as first-class arguments. Development is contributor-driven inside the Atorus and pharmaverse orbit.

Read the full datasetjson trajectory →

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 →

datasetjson vs marquee: editorial side-by-side

D
datasetjson
ANALYTICS
0.0

datasetjson rebuilt its object model to track the CDISC Dataset-JSON 1.1 schema.

◆ Current state

datasetjson reads and writes CDISC Dataset-JSON, the JSON replacement for SAS transport files in clinical-trial submissions. The package went from a thin reader in 2023 to a redesigned interface in 0.3.0 that targets the 1.1.0 schema, uses yyjsonr as its JSON backend, and exposes column metadata as first-class arguments. Development is contributor-driven inside the Atorus and pharmaverse orbit.

◆ Where it's heading

The package's roadmap is not its own — it tracks a CDISC standard that is still moving, and 0.3.0 is what happens when the standard revises: object model, read and write paths, and JSON backend all changed together. Performance was addressed in the same pass, which matters because submission datasets are large enough that a slow serialiser is a real constraint.

◆ Prediction

The next significant release will most likely follow the next Dataset-JSON schema revision rather than an internal roadmap, given that 0.3.0 was driven entirely by the 1.1.0 update.

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.

Alternatives to datasetjson and marquee

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 datasetjson or marquee.

See all datasetjson alternatives → · See all marquee alternatives →

Recent activity from datasetjson and marquee

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

  1. 11mo agomarqueeBug fixes for relative sizes, outlines and guide width
  2. 11mo agomarqueeBorder and outline line types; underlines follow font metrics
  3. 11mo agomarqueeRotated text width fixed; factor input supported
  4. 0y agomarqueeText outlines, size shortcuts and images from URLs
  5. 1y agodatasetjsonDataset-JSON 1.1.0 support with a redesigned object model
  6. 1y agomarquee1.0 settles margin collapsing and inline decoration spacing
  7. 2y agodatasetjsonReads and validates Dataset-JSON from URLs
  8. 2y agodatasetjsonInitial CRAN release

Frequently asked questions

What is the difference between datasetjson and marquee?

Both compete on the same themes — r-package — within Analytics. datasetjson and marquee 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 datasetjson better than marquee?

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

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

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.