tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
Comparison · Analytics
rstantools vs Tplyr
A side-by-side editorial comparison of rstantools and Tplyr — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
rstantools vs Tplyr: at a glance
What is rstantools?
The scaffolding layer for Stan-backed R packages, maintained rather than extended.
rstantools generates and maintains the build infrastructure that lets an R package ship Stan models — the inst/stan layout, the auto-generated C++, the Rcpp module loading, and the posterior_* generics downstream packages implement. Its releases are dominated by keeping that scaffolding compiling as Stan, StanHeaders, and rstan move underneath it. Version 2.7.0 continues that pattern, its one user-facing change being an allowance for deprecated syntax in specified versions of specified packages.
What is Tplyr?
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.
rstantools vs Tplyr: editorial side-by-side
rstantools
2.5ANALYTICS
The scaffolding layer for Stan-backed R packages, maintained rather than extended.
◆ Current state
rstantools generates and maintains the build infrastructure that lets an R package ship Stan models — the inst/stan layout, the auto-generated C++, the Rcpp module loading, and the posterior_* generics downstream packages implement. Its releases are dominated by keeping that scaffolding compiling as Stan, StanHeaders, and rstan move underneath it. Version 2.7.0 continues that pattern, its one user-facing change being an allowance for deprecated syntax in specified versions of specified packages.
◆ Where it's heading
This is a stable dependency in maintenance mode, and the release history reads accordingly: compatibility shims for new rstan and Stan RNG versions, C++ standard bumps, and pkgdown housekeeping. The last substantive API growth was 2.5.0's loo_epred() generic and discrete-data loo_pit(). Contributor churn is visible in recent releases, with several first-time contributors handling infrastructure rather than statistics.
◆ Prediction
Expect the next releases to continue tracking Stan and rstan breakage as it arrives; nothing in the recent entries points to new generics or a change in the package-generation model.
Tplyr
0.0ANALYTICS
Tplyr made clinical summary tables explain where every number came from.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
Alternatives to rstantools and Tplyr
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 rstantools or Tplyr.
rlistings
Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
hoardr
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
gigs
gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
riem
A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
datasetjson
datasetjson rebuilt its object model to track the CDISC Dataset-JSON 1.1 schema.
See all rstantools alternatives → · See all Tplyr alternatives →
Recent activity from rstantools and Tplyr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 19d agorstantoolsDeprecated syntax allowed for pinned package versions
- 7mo agorstantoolspkgdown theme refresh, C++14 dropped from SystemRequirements
- 11mo agorstantoolsloo_epred() generic added, loo_pit() extended to discrete data
- 2y agoTplyrMissing-subject metadata, add_anti_join(), and nested-layer fixes
- 2y agorstantoolsStandalone Stan functions fixed for rstan 2.33+
- 3y agorstantoolsinit_cpp deprecated, standalone-function bugfix under Stan 2.31
- 3y agorstantoolsC++17 standard adopted, standalone function export reworked
- 3y agoTplyrMetadata vignette fix and parenthesis hugging
- 3y agoTplyrDenominator logic fix ahead of CRAN release
- 3y agoTplyrReverse-dependency fix
- 3y agoTplyr1.0.0 introduces the traceability metadata framework ⚡
Frequently asked questions
What is the difference between rstantools and Tplyr?
Both compete on the same themes — r-package — within Analytics. rstantools is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is rstantools better than Tplyr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. rstantools is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to rstantools?
Top rstantools alternatives in Analytics are ranked by recent ship velocity. Browse the "rstantools alternatives" section above for the current picks, or visit /alternatives/rstantools for the full list with editorial commentary on each.
What are the best alternatives to Tplyr?
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.