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daiquiri vs datasetjson

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

Shared themes:r-package

daiquiri vs datasetjson: at a glance

Featuredaiquiridatasetjson
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdata-quality, r-package, reporting, ropensciclinical-data, cdisc, json, r-package
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is daiquiri?

A data-quality report generator that finished its API rewrite and has been coasting on small features since.

daiquiri turns a raw clinical or administrative dataset into an HTML report of time-series data-quality plots, driven by a field-type specification the user writes. The public API settled in 2022 after a wholesale rename for rOpenSci acceptance, and releases since then have added specification conveniences rather than new report content. The 1.2.0 release is the first in nearly two years.

Read the full daiquiri 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 →

daiquiri vs datasetjson: editorial side-by-side

D
daiquiri
ANALYTICS
0.0

A data-quality report generator that finished its API rewrite and has been coasting on small features since.

◆ Current state

daiquiri turns a raw clinical or administrative dataset into an HTML report of time-series data-quality plots, driven by a field-type specification the user writes. The public API settled in 2022 after a wholesale rename for rOpenSci acceptance, and releases since then have added specification conveniences rather than new report content. The 1.2.0 release is the first in nearly two years.

◆ Where it's heading

Development has shifted from restructuring the interface to lowering the cost of using it — field_types_advanced() lets users name only the columns they care about and default the rest, which is the kind of change that matters when a dataset has hundreds of fields. Plot rendering is getting incremental attention (heatmap scaling) rather than new visualisation types. Cadence is roughly annual.

◆ Prediction

Expect the next release to continue trimming specification boilerplate for wide datasets rather than adding report sections; the entries give no indication of a new plot type or output format in progress.

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 daiquiri 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 daiquiri or datasetjson.

See all daiquiri alternatives → · See all datasetjson alternatives →

Recent activity from daiquiri and datasetjson

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

  1. 1y agodaiquirifield_types_advanced() lets specs name only some columns
  2. 1y agodatasetjsonDataset-JSON 1.1.0 support with a redesigned object model
  3. 2y agodatasetjsonReads and validates Dataset-JSON from URLs
  4. 2y agodatasetjsonInitial CRAN release
  5. 3y agodaiquirift_strata() splits reports by a column's values
  6. 3y agodaiquiriColumn-order and integer-column validation fixes
  7. 3y agodaiquiriReport intermediates write to tempdir(), not the library
  8. 3y agodaiquiriFirst CRAN release
  9. 3y agodaiquiriPublic API renamed wholesale for rOpenSci acceptance

Frequently asked questions

What is the difference between daiquiri and datasetjson?

Both compete on the same themes — r-package — within Analytics. daiquiri 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 daiquiri better than datasetjson?

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

Top daiquiri alternatives in Analytics are ranked by recent ship velocity. Browse the "daiquiri alternatives" section above for the current picks, or visit /alternatives/daiquiri 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.