ANALYTICS
A tables-listings-graphs package that reached CRAN and then went quiet.
Alternatives · analytics tools
datasetjson alternatives
The best datasetjson alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 14, 2026
Looking for the best alternatives to datasetjson? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, datasetjson shipped 0 meaningful updates in the last 30 days and carries a velocity score of 0.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About 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.
Velocity 0.0 · Last update 56m ago
Top 12 alternatives to datasetjson
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
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Tplyr made clinical summary tables explain where every number came from.
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Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
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A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
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gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
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A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
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A TIFF reader for scientific imaging that spent its recent releases shedding weight and fixing memory bugs.
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tern is migrating its entire analysis-function catalogue off make_afun(), one release at a time.
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A reference posterior database that hit 1.0 with a paper, and is now graded on the statistics it ships.
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Markdown round-tripping through XML, where every release is another thing it learned not to mangle.
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A Qualtrics data-cleaning package that has been in maintenance mode since its CRAN acceptance.
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Geospatial targets grew from two raster helpers into a tiling and multi-backend pipeline layer.
datasetjson vs alternatives — shipping velocity at a glance
Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| datasetjson (baseline) | 0.0 | 0 | clinical-datacdiscjson | Dataset-JSON 1.1.0 support with a redesigned object model |
| tidytlg | 0.0 | 0 | clinical-trialstablesr-package | — |
| Tplyr | 0.0 | 0 | clinical-trialstablestraceability | 1.0.0 introduces the traceability metadata framework |
| rlistings | 0.0 | 0 | clinical-trialslistingspagination | — |
| hoardr | 0.0 | 0 | cachingr-packageropensci | — |
| gigs | 0.0 | 0 | growth-standardsneonatal-healthr-package | Conversion API rewritten around data frames and classify_growth() |
| riem | 0.0 | 0 | weather-dataapi-clientr-package | — |
| ijtiff | 0.0 | 0 | imagingtiffr-package | — |
| tern | 0.0 | 0 | clinical-trialstablesr-package | Two dozen more analysis functions drop make_afun() |
| posteriordb | 0.0 | 0 | bayesianbenchmarkingreference-data | — |
| tinkr | 0.0 | 0 | markdownxmlr-package | First release: the extensible yarn R6 class |
| excluder | 0.0 | 0 | survey-datadata-cleaningr-package | — |
| geotargets | 0.0 | 0 | geospatialpipelinesr-package | stars backend and dynamically branched raster tiles |
The 12 best datasetjson alternatives, in depth
1. tidytlg · velocity 0.0
A tables-listings-graphs package that reached CRAN and then went quiet.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where datasetjson leans on clinical data, cdisc and json, tidytlg focuses on clinical trials, tables and r package.
tidytlg and datasetjson have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full tidytlg trajectory → · Compare datasetjson vs tidytlg →
2. Tplyr · velocity 0.0
Tplyr made clinical summary tables explain where every number came from.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “1.0.0 introduces the traceability metadata framework”.
Where datasetjson leans on clinical data, cdisc and json, Tplyr focuses on clinical trials, tables and traceability.
Tplyr and datasetjson have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
3. rlistings · velocity 0.0
Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where datasetjson leans on clinical data, cdisc and json, rlistings focuses on clinical trials, listings and pagination.
rlistings and datasetjson have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full rlistings trajectory → · Compare datasetjson vs rlistings →
4. hoardr · velocity 0.0
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where datasetjson leans on clinical data, cdisc and json, hoardr focuses on caching, r package and ropensci.
hoardr and datasetjson have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. gigs · velocity 0.0
Gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Conversion API rewritten around data frames and classify_growth()”.
Where datasetjson leans on clinical data, cdisc and json, gigs focuses on growth standards, neonatal health and r package.
gigs and datasetjson have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
6. riem · velocity 0.0
A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where datasetjson leans on clinical data, cdisc and json, riem focuses on weather data, api client and r package.
riem and datasetjson have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
7. ijtiff · velocity 0.0
A TIFF reader for scientific imaging that spent its recent releases shedding weight and fixing memory bugs.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where datasetjson leans on clinical data, cdisc and json, ijtiff focuses on imaging, tiff and r package.
ijtiff and datasetjson have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
8. tern · velocity 0.0
Tern is migrating its entire analysis-function catalogue off make_afun(), one release at a time.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Two dozen more analysis functions drop make_afun()”.
Where datasetjson leans on clinical data, cdisc and json, tern focuses on clinical trials, tables and r package.
tern and datasetjson have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
9. posteriordb · velocity 0.0
A reference posterior database that hit 1.0 with a paper, and is now graded on the statistics it ships.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where datasetjson leans on clinical data, cdisc and json, posteriordb focuses on bayesian, benchmarking and reference data.
posteriordb and datasetjson have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full posteriordb trajectory → · Compare datasetjson vs posteriordb →
10. tinkr · velocity 0.0
Markdown round-tripping through XML, where every release is another thing it learned not to mangle.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “First release: the extensible yarn R6 class”.
Where datasetjson leans on clinical data, cdisc and json, tinkr focuses on markdown, xml and r package.
tinkr and datasetjson have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
11. excluder · velocity 0.0
A Qualtrics data-cleaning package that has been in maintenance mode since its CRAN acceptance.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where datasetjson leans on clinical data, cdisc and json, excluder focuses on survey data, data cleaning and r package.
excluder and datasetjson have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full excluder trajectory → · Compare datasetjson vs excluder →
12. geotargets · velocity 0.0
Geospatial targets grew from two raster helpers into a tiling and multi-backend pipeline layer.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “stars backend and dynamically branched raster tiles”.
Where datasetjson leans on clinical data, cdisc and json, geotargets focuses on geospatial, pipelines and r package.
geotargets and datasetjson have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full geotargets trajectory → · Compare datasetjson vs geotargets →
Frequently asked questions
What are the best alternatives to datasetjson?
The top datasetjson alternatives we currently track in analytics tools are tidytlg, Tplyr, rlistings, hoardr, gigs, ranked by recent ship velocity.
How is this list of datasetjson alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare datasetjson directly with one of these alternatives?
Yes — every card has a "Compare with datasetjson" link to a side-by-side /compare page.