tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
A side-by-side editorial comparison of admiralophtha and Tplyr — 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.
Tplyr made clinical summary tables explain where every number came from.
Tplyr builds clinical summary tables through a layered grammar — count, descriptive statistics, and shift layers assembled onto a table object. The 1.0.0 release added a traceability metadata framework that lets a user ask which source rows produced any given cell, and later releases extended it to cases the first pass missed. The package is maintained by Atorus within the pharmaverse ecosystem.
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.
Tplyr builds clinical summary tables through a layered grammar — count, descriptive statistics, and shift layers assembled onto a table object. The 1.0.0 release added a traceability metadata framework that lets a user ask which source rows produced any given cell, and later releases extended it to cases the first pass missed. The package is maintained by Atorus within the pharmaverse ecosystem.
Post-1.0 work has been about completing the metadata story and filling gaps in layer composition rather than adding table types — metadata for missing subjects, add_anti_join(), missing-subject rows, data limiting, and fixes to nested count layers where an inner value appears under several outer groups. Releases cluster tightly after a major version, then go quiet, and the window ends with a patch issued days after the release it corrects.
Further releases will most likely continue closing traceability and nested-layer edge cases rather than introducing new layer types, following the pattern of both post-1.0 feature releases.
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 Tplyr.
A tables-listings-graphs package that reached CRAN and then went quiet.
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.
datasetjson rebuilt its object model to track the CDISC Dataset-JSON 1.1 schema.
See all admiralophtha alternatives → · See all Tplyr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — pharmaverse, clinical-trials — within Analytics. admiralophtha and Tplyr 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 Tplyr 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 Tplyr alternatives in Analytics are ranked by recent ship velocity. Browse the "Tplyr alternatives" section above for the current picks, or visit /alternatives/tplyr for the full list with editorial commentary on each.