tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
A side-by-side editorial comparison of admiralonco and datasetjson — release velocity, themes, recent moves, and the top alternatives to consider.
The oncology ADaM helper is dissolving into admiral core, one deprecation at a time.
admiralonco is the oncology companion to admiral, and it ships response-criteria recipes rather than code: RECIST, iRECIST, IMWG, GCIG and PCWG3 each arrive as a vignette plus an ADaM template. Cadence is one or two releases a year, each adding a criteria vignette. The 1.4.0 release began deprecating most of the package's own exported functions in favour of generic admiral equivalents.
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.
admiralonco is the oncology companion to admiral, and it ships response-criteria recipes rather than code: RECIST, iRECIST, IMWG, GCIG and PCWG3 each arrive as a vignette plus an ADaM template. Cadence is one or two releases a year, each adding a criteria vignette. The 1.4.0 release began deprecating most of the package's own exported functions in favour of generic admiral equivalents.
The package is converging on a documentation-and-templates model: reusable derivation logic moves upstream into admiral, and admiralonco keeps only the oncology-specific know-how. Every release since 1.0.0 has added a criteria vignette rather than new exported functions, and 1.4.1 extends that by making the template set browsable from the Get Started menu. The surface users program against is shrinking while the guidance they read is growing.
Expect the deprecation cycle started in 1.4.0 to advance through its warning and error phases across the next one or two releases, with new work arriving as another response-criteria vignette rather than new functions.
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.
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.
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.
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 admiralonco or datasetjson.
A tables-listings-graphs package that reached CRAN and then went quiet.
Tplyr made clinical summary tables explain where every number came from.
Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
See all admiralonco alternatives → · See all datasetjson alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — pharmaverse — within Analytics. admiralonco and datasetjson 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. admiralonco and datasetjson 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.
Top admiralonco alternatives in Analytics are ranked by recent ship velocity. Browse the "admiralonco alternatives" section above for the current picks, or visit /alternatives/admiralonco for the full list with editorial commentary on each.
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.