tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
Comparison · Analytics
datasetjson vs xportr
A side-by-side editorial comparison of datasetjson and xportr — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:cdiscpharmaverse
datasetjson vs xportr: at a glance
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.
What is xportr?
The CDISC transport writer collapsed six pipeline calls into one, then spent two years hardening it
xportr applies CDISC metadata — variable types, lengths, labels, formats, ordering — to R data frames and writes the SAS transport files that go into regulatory submissions. Since v0.4.0 the package has had a single entry point, xportr_process(), that runs the whole chain and writes, and metadata arrives as a plain specification rather than a metacore object. The v0.5.0 release in January 2026 finished the cleanup by deleting every deprecated argument left over from that redesign.
datasetjson vs xportr: editorial side-by-side
datasetjson
0.0ANALYTICS
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.
xportr
0.0ANALYTICS
The CDISC transport writer collapsed six pipeline calls into one, then spent two years hardening it
◆ Current state
xportr applies CDISC metadata — variable types, lengths, labels, formats, ordering — to R data frames and writes the SAS transport files that go into regulatory submissions. Since v0.4.0 the package has had a single entry point, xportr_process(), that runs the whole chain and writes, and metadata arrives as a plain specification rather than a metacore object. The v0.5.0 release in January 2026 finished the cleanup by deleting every deprecated argument left over from that redesign.
◆ Where it's heading
The work has moved from building the pipeline to defending it against the ways submission data actually arrives: grouped data frames now raise a warning, date and time variables get class checks, illegal characters are resolved rather than erroring, and xportr_write() warns before a file crosses 5GB instead of producing an unusable artifact. Contributor volume is high and spread across sponsors — Atorus, Roche, GSK and others show up in the PR lists — which is what keeps a validated-context package moving without a single owner.
◆ Prediction
With deprecations cleared in 0.5.0, the next cycle likely targets more input-shape validation of the kind 0.5.0 started — the grouped-data and datetime-class checks read as the first two of a series. Nothing in these entries points to a new output format.
Alternatives to datasetjson and xportr
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 xportr.
Tplyr
Tplyr made clinical summary tables explain where every number came from.
rlistings
Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
hoardr
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
gigs
gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
riem
A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
See all datasetjson alternatives → · See all xportr alternatives →
Recent activity from datasetjson and xportr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 7mo agoxportrDeprecated arguments deleted; 5GB and datetime guards added
- 1y agoxportrTest fixes for the metacore 0.2.0 update
- 1y agodatasetjsonDataset-JSON 1.1.0 support with a redesigned object model ⚡
- 1y agoxportrhms accepted as a numeric type; domain logging filled in
- 1y agoxportrFile-size limit moves into xportr_write, deprecating xportr_split
- 2y agoxportrxportr_process() runs the whole pipeline in one call ⚡
- 2y agoxportrUnused dependencies removed
- 2y agodatasetjsonReads and validates Dataset-JSON from URLs
- 2y agodatasetjsonInitial CRAN release
Frequently asked questions
What is the difference between datasetjson and xportr?
Both compete on the same themes — cdisc, pharmaverse — within Analytics. datasetjson and xportr 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 xportr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. datasetjson and xportr 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 xportr?
Top xportr alternatives in Analytics are ranked by recent ship velocity. Browse the "xportr alternatives" section above for the current picks, or visit /alternatives/xportr for the full list with editorial commentary on each.