tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
A side-by-side editorial comparison of admiralophtha and datasetjson — release velocity, themes, recent moves, and the top alternatives to consider.
Ophthalmology ADaM support is migrating its derivations upstream into admiral core.
admiralophtha supplies ophthalmology-specific ADaM templates and vignettes — ADBCVA, ADOE, ADVFQ — on top of admiral. Releases arrive roughly twice a year and are dominated by template and vignette modernisation plus a long, deliberate deprecation of the package's own criterion-flag helper in favour of admiral::derive_vars_crit_flag(). The 1.5.0 release advances that deprecation to its warning phase and adds a template explorer.
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.
admiralophtha supplies ophthalmology-specific ADaM templates and vignettes — ADBCVA, ADOE, ADVFQ — on top of admiral. Releases arrive roughly twice a year and are dominated by template and vignette modernisation plus a long, deliberate deprecation of the package's own criterion-flag helper in favour of admiral::derive_vars_crit_flag(). The 1.5.0 release advances that deprecation to its warning phase and adds a template explorer.
The arc is consolidation: functions the package invented are being retired as admiral core grows generic equivalents, leaving admiralophtha as the place where ophthalmology conventions are documented. Recent releases spend their weight on templates and vignettes — VFQ guidance alignment, IOP parameter mapping, subject-key options — rather than new exported code. Deprecations are run on a fixed six-month, one-release-per-phase clock, which makes the migration path unusually legible.
derive_var_bcvacritxfl() should reach its error phase and then removal over the next two releases, with the accompanying work being ADBCVA vignette and template edits 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 admiralophtha 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 admiralophtha alternatives → · See all datasetjson alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — pharmaverse — within Analytics. admiralophtha 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. admiralophtha 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 admiralophtha alternatives in Analytics are ranked by recent ship velocity. Browse the "admiralophtha alternatives" section above for the current picks, or visit /alternatives/admiralophtha 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.