Tplyr
Tplyr made clinical summary tables explain where every number came from.
A side-by-side editorial comparison of metatools and tidytlg — release velocity, themes, recent moves, and the top alternatives to consider.
SDTM supplemental-qualifier merging got sturdier, then the package went quiet for two years.
metatools provides the utilities that build and check SDTM and ADaM datasets against their metadata in the pharmaverse. The 0.1.6 release in July 2024 is the substantive one: combine_supp() learned to handle zero-row supplemental data, to refuse QNAM columns already present in the source, and to route multiple QNAM values to the same IDVAR, alongside enhanced controlled-terminology checks and record-uniqueness verification. Nothing has shipped since.
A tables-listings-graphs package that reached CRAN and then went quiet.
tidytlg generates clinical tables, listings, and graphs from tidyverse-style pipelines, maintained under the pharmaverse organisation. All four releases in the window are from a single eight-month stretch in 2023, and their content is CRAN preparation, a logging-dependency swap, and multi-file support. Release notes are merge lists rather than described changes.
metatools provides the utilities that build and check SDTM and ADaM datasets against their metadata in the pharmaverse. The 0.1.6 release in July 2024 is the substantive one: combine_supp() learned to handle zero-row supplemental data, to refuse QNAM columns already present in the source, and to route multiple QNAM values to the same IDVAR, alongside enhanced controlled-terminology checks and record-uniqueness verification. Nothing has shipped since.
The package's development has been concentrated on one function, combine_supp(), which is where the messy realities of supplemental qualifiers surface — whitespace in join keys, empty supp datasets, colliding names. 0.1.6 also drew three first-time contributors, which is the healthiest signal in the history, but no release has followed. Sibling packages have meanwhile been dropping metatools as a dependency.
Without a release in two years the package looks stable rather than active; the plausible trigger is a controlled-terminology or dplyr change that forces the checks to be updated.
tidytlg generates clinical tables, listings, and graphs from tidyverse-style pipelines, maintained under the pharmaverse organisation. All four releases in the window are from a single eight-month stretch in 2023, and their content is CRAN preparation, a logging-dependency swap, and multi-file support. Release notes are merge lists rather than described changes.
The visible arc is getting onto CRAN and staying installable — vignette corrections per CRAN comments, a badge, a check fix, and replacing the timber logging package with logrx. The one functional addition is multiple-file support. There has been no release since October 2023, so on this evidence the package is stable or dormant rather than actively developing.
The entries give no signal about planned work; with nothing shipped in roughly two years, the more likely next event is a maintenance release triggered by a dependency or CRAN check than a feature.
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 metatools or tidytlg.
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.
datasetjson rebuilt its object model to track the CDISC Dataset-JSON 1.1 schema.
See all metatools alternatives → · See all tidytlg alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — pharmaverse, clinical-trials, r-package — within Analytics. metatools and tidytlg 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. metatools and tidytlg 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 metatools alternatives in Analytics are ranked by recent ship velocity. Browse the "metatools alternatives" section above for the current picks, or visit /alternatives/metatools for the full list with editorial commentary on each.
Top tidytlg alternatives in Analytics are ranked by recent ship velocity. Browse the "tidytlg alternatives" section above for the current picks, or visit /alternatives/tidytlg for the full list with editorial commentary on each.