tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
A side-by-side editorial comparison of datasetjson and webchem — 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.
Adding chemical databases with one hand while public ones close programmatic access with the other.
webchem is the R interface to public chemical data — retrieving identifiers, properties and structures across roughly a dozen web services. Its release history reads as a running account of which of those services still allow automated access. Version 1.3.0 removed two functions outright because their sources withdrew: ChemIDplus was retired by the NLM, and PAN stopped supporting programmatic access. Version 1.3.1 continues the pattern, updating URLs that stopped working and noting that ChemSpider InChIKey validation now requires an API key like the rest of that provider's endpoints.
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.
webchem is the R interface to public chemical data — retrieving identifiers, properties and structures across roughly a dozen web services. Its release history reads as a running account of which of those services still allow automated access. Version 1.3.0 removed two functions outright because their sources withdrew: ChemIDplus was retired by the NLM, and PAN stopped supporting programmatic access. Version 1.3.1 continues the pattern, updating URLs that stopped working and noting that ChemSpider InChIKey validation now requires an API key like the rest of that provider's endpoints.
Two opposing forces run through these entries. The package keeps widening its coverage — ChEMBL in 1.2.0, LIPID MAPS and SwissLipids identifiers via Wikidata, structure images, Mol export — while the open, unauthenticated end of the chemical web keeps contracting. The other consistent thread is interface harmonisation: successive releases have converged the get_* functions on the same query and from arguments, tibble returns, and CAS reformatting, so the package feels like one interface rather than a dozen wrappers.
Expect further defunct functions and URL repairs as more providers move behind keys or shut down, alongside occasional additions of sources that remain open. The entries show no sign of a general credential-management layer, which is what a package facing this trend would eventually need.
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 webchem.
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 webchem alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. datasetjson and webchem 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 webchem 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 webchem alternatives in Analytics are ranked by recent ship velocity. Browse the "webchem alternatives" section above for the current picks, or visit /alternatives/webchem for the full list with editorial commentary on each.