tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
A side-by-side editorial comparison of datasetjson and EDIutils — release velocity, themes, recent moves, and the top alternatives to consider.
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.
The EDI data client is being dragged through its repository's identity-system migration.
EDIutils is the R client for the Environmental Data Initiative repository. The last two releases are both consequences of changes at EDI rather than in the package: 2.0.0 rewired authentication for the new EDI Identity and Access Manager and made Distinguished Names defunct in favour of EDI-IDs, and 2.1.0 handles the deprecation of the old auth token. Earlier releases were small bug fixes against repository outages and endpoint changes.
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.
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.
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.
EDIutils is the R client for the Environmental Data Initiative repository. The last two releases are both consequences of changes at EDI rather than in the package: 2.0.0 rewired authentication for the new EDI Identity and Access Manager and made Distinguished Names defunct in favour of EDI-IDs, and 2.1.0 handles the deprecation of the old auth token. Earlier releases were small bug fixes against repository outages and endpoint changes.
This is a client whose roadmap belongs to its server. Every meaningful release tracks something EDI changed — a deprecated endpoint, a resource outage breaking CRAN checks, and now a whole identity system — and the package's job is to absorb the churn while keeping the R interface stable. The 2.0.0 break was handled by pointing users at where to find their new EDI-ID rather than by papering over the change.
Expect continued follow-through on the IAM migration as the old auth token is fully retired, and further releases keyed to EDI service changes rather than to new client features.
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 datasetjson or EDIutils.
A tables-listings-graphs package that reached CRAN and then went quiet.
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.
See all datasetjson alternatives → · See all EDIutils alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. datasetjson and EDIutils 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. datasetjson and EDIutils 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 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.
Top EDIutils alternatives in Analytics are ranked by recent ship velocity. Browse the "EDIutils alternatives" section above for the current picks, or visit /alternatives/ediutils for the full list with editorial commentary on each.