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datasetjson vs rlistings

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

Shared themes:r-packagepharmaverse

datasetjson vs rlistings: at a glance

Featuredatasetjsonrlistings
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesclinical-data, cdisc, json, r-packageclinical-trials, listings, pagination, r-package
Last editorial update1h ago1h 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 rlistings?

Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.

rlistings renders clinical-trial subject listings and paginates them for regulatory output, sitting alongside rtables on the shared formatters engine. The releases in this window are dominated by pagination correctness: repeated key columns across pages, splitting by a variable, ordered-factor handling, column gaps, and font metrics. Development is a large rotating contributor set inside the insightsengineering organisation.

Read the full rlistings trajectory →

datasetjson vs rlistings: 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.

R
rlistings
ANALYTICS
0.0

Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.

◆ Current state

rlistings renders clinical-trial subject listings and paginates them for regulatory output, sitting alongside rtables on the shared formatters engine. The releases in this window are dominated by pagination correctness: repeated key columns across pages, splitting by a variable, ordered-factor handling, column gaps, and font metrics. Development is a large rotating contributor set inside the insightsengineering organisation.

◆ Where it's heading

The package is progressively delegating pagination to formatters rather than implementing it — paginate_listing() was refactored to call formatters' paginate_to_mpfs() directly, and truetype font support arrived through a new formatters API. That reduces duplicated logic but ties the package's page-break behaviour to a dependency it shares with rtables. Feature work beyond pagination is thin: better error messages for unsupported column classes, a cheatsheet.

◆ Prediction

Expect pagination fidelity to remain the focus, with changes arriving as formatters exposes more of its layout machinery rather than as rlistings-native features.

Alternatives to datasetjson and rlistings

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 rlistings.

See all datasetjson alternatives → · See all rlistings alternatives →

Recent activity from datasetjson and rlistings

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

  1. 1y agodatasetjsonDataset-JSON 1.1.0 support with a redesigned object model
  2. 1y agorlistingsError and message handling for difftime and zero-row listings
  3. 1y agorlistingsTrueType font support and col_gap in pagination
  4. 2y agorlistingssplit_into_pages_by_var() and pagination moved onto formatters
  5. 2y agodatasetjsonReads and validates Dataset-JSON from URLs
  6. 2y agodatasetjsonInitial CRAN release

Frequently asked questions

What is the difference between datasetjson and rlistings?

Both compete on the same themes — r-package, pharmaverse — within Analytics. datasetjson and rlistings 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 rlistings?

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

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