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datasetjson vs excluder

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

Shared themes:r-package

datasetjson vs excluder: at a glance

Featuredatasetjsonexcluder
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesclinical-data, cdisc, json, r-packagesurvey-data, data-cleaning, r-package, qualtrics
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

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 →

What is excluder?

A Qualtrics data-cleaning package that has been in maintenance mode since its CRAN acceptance.

excluder marks, checks, and excludes online-survey rows that fail quality criteria — duplicate responses, suspicious IP or geolocation, screen resolution, completion duration, preview rows. The mark_*/check_*/exclude_* verb trio and the column-renaming helpers are the whole public surface. Recent releases are dependency chasing and test robustness rather than new exclusion criteria.

Read the full excluder trajectory →

datasetjson vs excluder: editorial side-by-side

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.

E
excluder
ANALYTICS
0.0

A Qualtrics data-cleaning package that has been in maintenance mode since its CRAN acceptance.

◆ Current state

excluder marks, checks, and excludes online-survey rows that fail quality criteria — duplicate responses, suspicious IP or geolocation, screen resolution, completion duration, preview rows. The mark_*/check_*/exclude_* verb trio and the column-renaming helpers are the whole public surface. Recent releases are dependency chasing and test robustness rather than new exclusion criteria.

◆ Where it's heading

The package is stable and its maintenance load comes from things it does not control: the {iptools} package leaving CRAN, {tidyselect} deprecating the .data pronoun, IP-geolocation tests breaking when the underlying address data shifts. Much of that work is about staying installable, not about better exclusions. Note that several of these entries were backfilled into the feed within the same two-minute window and are not in version order.

◆ Prediction

The next release will most likely be another dependency or CRAN-check response rather than a new exclusion criterion, following the pattern of the last three.

Alternatives to datasetjson and excluder

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 excluder.

See all datasetjson alternatives → · See all excluder alternatives →

Recent activity from datasetjson and excluder

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

  1. 1y agoexcluderInternet-dependent tests and examples made conditional
  2. 1y agodatasetjsonDataset-JSON 1.1.0 support with a redesigned object model
  3. 2y agoexcluderqualtrics_fetch2 dataset and tidyselect deprecation fixes
  4. 2y agodatasetjsonReads and validates Dataset-JSON from URLs
  5. 2y agodatasetjsonInitial CRAN release
  6. 3y agoexcluderCRAN acceptance and graceful IP-lookup failure
  7. 3y agoexcluderdplyr 1.0.8 across()/is.na() compatibility fix
  8. 3y agoexcluderuse_labels(), rename_columns(), and orientation-agnostic resolution
  9. 3y agoexcluderSwaps iptools for ipaddress

Frequently asked questions

What is the difference between datasetjson and excluder?

Both compete on the same themes — r-package — within Analytics. datasetjson and excluder 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 excluder?

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

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