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crul vs datasetjson

A side-by-side editorial comparison of crul and datasetjson — release velocity, themes, recent moves, and the top alternatives to consider.

crul vs datasetjson: at a glance

Featurecruldatasetjson
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themeshttp-client, async, mocking, ropensciclinical-data, cdisc, json, r-package
Last editorial update1h ago56m ago
WebsiteVisit →Visit →

What is crul?

crul took mocking back from webmockr and made it a property of the client itself

crul is the R6-based HTTP client underneath much of rOpenSci's package stack, covering synchronous requests, three flavours of async, pagination and retries. Its 1.6.0 release in July 2025 changed where test mocking lives: each client — HttpClient, Async, AsyncVaried — now takes a mocking parameter at initialisation or per method, and the standalone mock() function is deprecated. Mocking used to be something webmockr switched on from outside; it is now a setting on the client.

Read the full crul trajectory →

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.

Read the full datasetjson trajectory →

crul vs datasetjson: editorial side-by-side

C
crul
ANALYTICS
0.0

crul took mocking back from webmockr and made it a property of the client itself

◆ Current state

crul is the R6-based HTTP client underneath much of rOpenSci's package stack, covering synchronous requests, three flavours of async, pagination and retries. Its 1.6.0 release in July 2025 changed where test mocking lives: each client — HttpClient, Async, AsyncVaried — now takes a mocking parameter at initialisation or per method, and the standalone mock() function is deprecated. Mocking used to be something webmockr switched on from outside; it is now a setting on the client.

◆ Where it's heading

The async surface has been the growth area for years — retries reached Async, AsyncVaried, AsyncQueue and HttpRequest in 1.4, AsyncQueue gained the response accessors in 1.2, and 1.5.0 wired async requests up to webmockr. The 1.6.0 change reverses that direction of dependency, and it landed within a minute of webmockr's own release severing its tie to vcr. Read together, the rOpenSci HTTP stack is being deliberately untangled so each package can be used without the others.

◆ Prediction

With mock() deprecated rather than removed, the next major release is the likely point of deletion. Expect the remaining work to follow the same decoupling theme rather than adding request features.

D
datasetjson
ANALYTICS
0.0

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.

Alternatives to crul and datasetjson

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 crul or datasetjson.

See all crul alternatives → · See all datasetjson alternatives →

Recent activity from crul and datasetjson

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1y agocrulMocking becomes a client parameter, independent of webmockr
  2. 1y agodatasetjsonDataset-JSON 1.1.0 support with a redesigned object model
  3. 2y agocrulAsync requests become mockable through webmockr
  4. 2y agocrulDocumentation fixes and test helper tweak
  5. 2y agodatasetjsonReads and validates Dataset-JSON from URLs
  6. 2y agodatasetjsonInitial CRAN release
  7. 3y agocrulHTTP retries reach the async classes
  8. 3y agocrulClearer error for mismatched urls and disk lengths
  9. 4y agocrulAsyncQueue gains response accessors; results print as a summary

Frequently asked questions

What is the difference between crul and datasetjson?

They serve adjacent needs but don't currently overlap on shipped themes. crul and datasetjson 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 crul better than datasetjson?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. crul and datasetjson 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 crul?

Top crul alternatives in Analytics are ranked by recent ship velocity. Browse the "crul alternatives" section above for the current picks, or visit /alternatives/crul for the full list with editorial commentary on each.

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.