tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
Comparison · Analytics
beautier vs datasetjson
A side-by-side editorial comparison of beautier and datasetjson — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
beautier vs datasetjson: at a glance
What is beautier?
A BEAST2 XML generator shipping releases CRAN can't accept because the CRAN team is on holiday.
beautier turns R code into BEAST2 phylogenetics XML input files. The three most recent releases landed over four days in August 2025 and are all explicitly marked pre-CRAN, held back because the CRAN team was on summer holiday. The substance sits in 2.6.13, which added tip-date file handling; the two after it are lint and bug fixes.
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.
beautier vs datasetjson: editorial side-by-side
beautier
0.0ANALYTICS
A BEAST2 XML generator shipping releases CRAN can't accept because the CRAN team is on holiday.
◆ Current state
beautier turns R code into BEAST2 phylogenetics XML input files. The three most recent releases landed over four days in August 2025 and are all explicitly marked pre-CRAN, held back because the CRAN team was on summer holiday. The substance sits in 2.6.13, which added tip-date file handling; the two after it are lint and bug fixes.
◆ Where it's heading
Development is fine-grained and test-driven — releases are small, numbered in tight sequence, and reported against a fixed NEW FEATURES / MINOR IMPROVEMENTS / BUG FIXES / DEPRECATED template with 100% code coverage tracked as a line item. The recent work concentrates on validating user-supplied input files rather than expanding BEAST2 model coverage, which suggests the model surface is considered largely done and the remaining friction is in what users feed it.
◆ Prediction
The pre-CRAN backlog should be squashed into a single CRAN submission once the release window reopens; further work is most likely more input-file validation in the same check_/read_ family.
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 beautier 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 beautier 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 beautier alternatives → · See all datasetjson alternatives →
Recent activity from beautier and datasetjson
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1y agobeautierInfinity and NA handling fixed for s parameters
- 1y agobeautierLint-only release, held back from CRAN
- 1y agobeautierTip-date file reading and validation added
- 1y agodatasetjsonDataset-JSON 1.1.0 support with a redesigned object model ⚡
- 2y agodatasetjsonReads and validates Dataset-JSON from URLs
- 2y agodatasetjsonInitial CRAN release
Frequently asked questions
What is the difference between beautier and datasetjson?
Both compete on the same themes — r-package — within Analytics. beautier 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 beautier better than datasetjson?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. beautier 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 beautier?
Top beautier alternatives in Analytics are ranked by recent ship velocity. Browse the "beautier alternatives" section above for the current picks, or visit /alternatives/beautier 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.