tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
A side-by-side editorial comparison of pharmaverseadam and Tplyr — release velocity, themes, recent moves, and the top alternatives to consider.
pharmaverseadam is the pharmaverse's test-data mirror, and it now covers neurology.
pharmaverseadam ships pre-built ADaM datasets generated by running the admiral family's own templates, so package authors and trainers have realistic analysis data without writing derivations first. The 1.3.0 release pulls in `ADAPET`, `ADTPET` and `ADNV` from admiralneuro and an anti-drug antibody dataset from admiral itself, and regenerates everything against current versions of seven upstream packages. Variables are now ordered and grouped to ADaM IG structure.
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.
pharmaverseadam ships pre-built ADaM datasets generated by running the admiral family's own templates, so package authors and trainers have realistic analysis data without writing derivations first. The 1.3.0 release pulls in `ADAPET`, `ADTPET` and `ADNV` from admiralneuro and an anti-drug antibody dataset from admiral itself, and regenerates everything against current versions of seven upstream packages. Variables are now ordered and grouped to ADaM IG structure.
Coverage tracks the pharmaverse's own therapeutic-area expansion with a lag of one release: pediatrics arrived in 1.1.0, metabolic in 1.2.0, neurology in 1.3.0. The other consistent thread is a slow move off development versions — 1.1.0 and 1.2.0 both had to pin unreleased upstream builds to get working templates, while 1.3.0 cites released versions throughout. Reorganising the reference page by therapeutic area is the same maturation showing up in documentation.
Expect the next release to follow the established pattern — a refresh against current upstream versions plus datasets from whichever admiral therapeutic-area package reaches a stable release next.
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 pharmaverseadam 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 pharmaverseadam alternatives → · See all Tplyr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — pharmaverse — within Analytics. pharmaverseadam 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. pharmaverseadam 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 pharmaverseadam alternatives in Analytics are ranked by recent ship velocity. Browse the "pharmaverseadam alternatives" section above for the current picks, or visit /alternatives/pharmaverseadam 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.