tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
Comparison · Analytics
datasetjson vs forcis
A side-by-side editorial comparison of datasetjson and forcis — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
datasetjson vs forcis: at a glance
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.
What is forcis?
A foraminifera data-access package whose entire release history is the rOpenSci review process.
forcis provides R access to the FORCIS database of planktonic foraminifera occurrences. All three releases in the window are review milestones rather than feature work: first stable release, the release answering rOpenSci reviewer comments, and a post-CRAN-review polish. Release notes point at NEWS.md rather than enumerating changes.
datasetjson vs forcis: editorial side-by-side
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.
forcis
0.0ANALYTICS
A foraminifera data-access package whose entire release history is the rOpenSci review process.
◆ Current state
forcis provides R access to the FORCIS database of planktonic foraminifera occurrences. All three releases in the window are review milestones rather than feature work: first stable release, the release answering rOpenSci reviewer comments, and a post-CRAN-review polish. Release notes point at NEWS.md rather than enumerating changes.
◆ Where it's heading
The package is moving from research artifact to reviewed, distributable infrastructure — submitted to rOpenSci at 0.1.0, integrated review feedback at 1.0.0, cleared CRAN at 1.0.1. That arc is complete, so the next phase should be the first release driven by users rather than reviewers.
◆ Prediction
With review and CRAN acceptance both behind it, the next release is most likely to track upstream FORCIS database changes or add query conveniences; the entries themselves say nothing about planned features.
Alternatives to datasetjson and forcis
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 forcis.
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 datasetjson alternatives → · See all forcis alternatives →
Recent activity from datasetjson and forcis
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1y agoforcisPost-CRAN-review example and practice cleanup
- 1y agoforcis1.0.0 incorporates rOpenSci review feedback
- 1y agodatasetjsonDataset-JSON 1.1.0 support with a redesigned object model ⚡
- 1y agoforcisFirst stable release, submitted to rOpenSci
- 2y agodatasetjsonReads and validates Dataset-JSON from URLs
- 2y agodatasetjsonInitial CRAN release
Frequently asked questions
What is the difference between datasetjson and forcis?
Both compete on the same themes — r-package — within Analytics. datasetjson and forcis 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 datasetjson better than forcis?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. datasetjson and forcis 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 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.
What are the best alternatives to forcis?
Top forcis alternatives in Analytics are ranked by recent ship velocity. Browse the "forcis alternatives" section above for the current picks, or visit /alternatives/forcis for the full list with editorial commentary on each.