tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
Comparison · Analytics
CRediTas vs Tplyr
A side-by-side editorial comparison of CRediTas and Tplyr — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
CRediTas vs Tplyr: at a glance
What is CRediTas?
A CRediT author-statement generator that renamed itself, then went quiet for two years.
CRediTas turns a contributor-roles table into a CRediT Author Statement for a paper. The 0.2.0 release in April 2023 did the heavy lifting — package rename, a full object_verb() API rename, and output that drops straight into R Markdown or Quarto. The 0.3.0 release in August 2025 is the only activity since and carries no changelog text beyond a pointer to NEWS.md.
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.
CRediTas vs Tplyr: editorial side-by-side
CRediTas
0.0ANALYTICS
A CRediT author-statement generator that renamed itself, then went quiet for two years.
◆ Current state
CRediTas turns a contributor-roles table into a CRediT Author Statement for a paper. The 0.2.0 release in April 2023 did the heavy lifting — package rename, a full object_verb() API rename, and output that drops straight into R Markdown or Quarto. The 0.3.0 release in August 2025 is the only activity since and carries no changelog text beyond a pointer to NEWS.md.
◆ Where it's heading
Development front-loaded a breaking cleanup during rOpenSci review and has coasted since. The design bet made in 0.2.0 — return a string for inline use rather than write a file — pointed the package at literate authoring workflows rather than at standalone scripts, and nothing since has moved away from it. The empty 0.3.0 note makes the current direction impossible to read from the feed.
◆ Prediction
Too little is published to call the next move; the 0.3.0 entry would need to carry its actual changes for the trajectory to be readable from the changelog at all.
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 CRediTas 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 CRediTas 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 CRediTas alternatives → · See all Tplyr alternatives →
Recent activity from CRediTas and Tplyr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 11mo agoCRediTasVersion 0.3.0
- 2y agoTplyrMissing-subject metadata, add_anti_join(), and nested-layer fixes
- 3y agoCRediTasZenodo release (version 0.2.0)
- 3y agoCRediTasPackage and every function renamed; output goes inline ⚡
- 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 CRediTas and Tplyr?
Both compete on the same themes — r-package — within Analytics. CRediTas 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.
Is CRediTas better than Tplyr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. CRediTas 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.
What are the best alternatives to CRediTas?
Top CRediTas alternatives in Analytics are ranked by recent ship velocity. Browse the "CRediTas alternatives" section above for the current picks, or visit /alternatives/creditas 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.