tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
Comparison · Analytics
datasetjson vs osmextract
A side-by-side editorial comparison of datasetjson and osmextract — release velocity, themes, recent moves, and the top alternatives to consider.
datasetjson vs osmextract: 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 osmextract?
osmextract stopped throwing your OpenStreetMap downloads away at the end of every session.
osmextract downloads OpenStreetMap extracts from Geofabrik, BBBike and openstreetmap.fr and translates them into sf objects via GDAL. The 0.6.0 release moved its download cache from `tempdir()` to a persistent `tools::R_user_dir()` location and raised the R floor to 4.1.0 to get it. It also made spatial `place` inputs self-clipping: pass an sf or bbox object and the boundary is now set to match, so only the relevant slice of a country-sized extract is processed.
datasetjson vs osmextract: 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.
osmextract
0.0ANALYTICS
osmextract stopped throwing your OpenStreetMap downloads away at the end of every session.
◆ Current state
osmextract downloads OpenStreetMap extracts from Geofabrik, BBBike and openstreetmap.fr and translates them into sf objects via GDAL. The 0.6.0 release moved its download cache from `tempdir()` to a persistent `tools::R_user_dir()` location and raised the R floor to 4.1.0 to get it. It also made spatial `place` inputs self-clipping: pass an sf or bbox object and the boundary is now set to match, so only the relevant slice of a country-sized extract is processed.
◆ Where it's heading
Two threads run through every release. One is chasing GDAL — SQL syntax adjusted for 3.10, ogr2ogr options fixed for 3.9, and an `osmconf.ini` that 0.6.0 finally keeps automatically in sync with whatever sf or GDAL provides rather than shipping a snapshot. The other is the road-network extraction added experimentally in 0.3.1, which has been quietly accumulating real routing semantics since: `access = no` links retained when the mode-specific tag permits them, a `oneway` column by default for driving, and `motor_vehicle` always included.
◆ Prediction
Given that `oe_get_network()` has gained transport-mode detail in three separate releases while remaining flagged as experimental, the next substantive work is most likely there — either more modes or a formal exit from experimental status.
Alternatives to datasetjson and osmextract
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 osmextract.
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 osmextract alternatives →
Recent activity from datasetjson and osmextract
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 4mo agoosmextractDownloads move to a persistent cache outside tempdir ⚡
- 1y agoosmextractoe_match gains a version argument for historical extracts
- 1y agodatasetjsonDataset-JSON 1.1.0 support with a redesigned object model ⚡
- 1y agoosmextractRouting semantics sharpen for driving and restricted-access links
- 2y agoosmextract51 new openstreetmap.fr regions and a GDAL 3.9 fix
- 2y agodatasetjsonReads and validates Dataset-JSON from URLs
- 2y agodatasetjsonInitial CRAN release
- 3y agoosmextractNon-Geofabrik downloads were saved under the wrong filename
- 3y agoosmextractHelp files regenerated for valid HTML5
Frequently asked questions
What is the difference between datasetjson and osmextract?
They serve adjacent needs but don't currently overlap on shipped themes. datasetjson and osmextract 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 osmextract?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. datasetjson and osmextract 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 osmextract?
Top osmextract alternatives in Analytics are ranked by recent ship velocity. Browse the "osmextract alternatives" section above for the current picks, or visit /alternatives/osmextract for the full list with editorial commentary on each.