tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
Comparison · Analytics
CRediTas vs datasetjson
A side-by-side editorial comparison of CRediTas and datasetjson — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
CRediTas vs datasetjson: 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 datasetjson?
datasetjson rebuilt its object model to track the CDISC Dataset-JSON 1.1 schema.
datasetjson reads and writes CDISC Dataset-JSON, the JSON replacement for SAS transport files in clinical-trial submissions. The package went from a thin reader in 2023 to a redesigned interface in 0.3.0 that targets the 1.1.0 schema, uses yyjsonr as its JSON backend, and exposes column metadata as first-class arguments. Development is contributor-driven inside the Atorus and pharmaverse orbit.
CRediTas vs datasetjson: 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.
datasetjson
0.0ANALYTICS
datasetjson rebuilt its object model to track the CDISC Dataset-JSON 1.1 schema.
◆ Current state
datasetjson reads and writes CDISC Dataset-JSON, the JSON replacement for SAS transport files in clinical-trial submissions. The package went from a thin reader in 2023 to a redesigned interface in 0.3.0 that targets the 1.1.0 schema, uses yyjsonr as its JSON backend, and exposes column metadata as first-class arguments. Development is contributor-driven inside the Atorus and pharmaverse orbit.
◆ Where it's heading
The package's roadmap is not its own — it tracks a CDISC standard that is still moving, and 0.3.0 is what happens when the standard revises: object model, read and write paths, and JSON backend all changed together. Performance was addressed in the same pass, which matters because submission datasets are large enough that a slow serialiser is a real constraint.
◆ Prediction
The next significant release will most likely follow the next Dataset-JSON schema revision rather than an internal roadmap, given that 0.3.0 was driven entirely by the 1.1.0 update.
Alternatives to CRediTas and datasetjson
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 datasetjson.
Tplyr
Tplyr made clinical summary tables explain where every number came from.
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.
See all CRediTas alternatives → · See all datasetjson alternatives →
Recent activity from CRediTas and datasetjson
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 11mo agoCRediTasVersion 0.3.0
- 1y agodatasetjsonDataset-JSON 1.1.0 support with a redesigned object model ⚡
- 2y agodatasetjsonReads and validates Dataset-JSON from URLs
- 2y agodatasetjsonInitial CRAN release
- 3y agoCRediTasZenodo release (version 0.2.0)
- 3y agoCRediTasPackage and every function renamed; output goes inline ⚡
Frequently asked questions
What is the difference between CRediTas and datasetjson?
Both compete on the same themes — r-package — within Analytics. CRediTas and datasetjson 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 datasetjson?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. CRediTas and datasetjson 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 datasetjson?
Top datasetjson alternatives in Analytics are ranked by recent ship velocity. Browse the "datasetjson alternatives" section above for the current picks, or visit /alternatives/datasetjson for the full list with editorial commentary on each.