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sdtm.oak vs Tplyr

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

Shared themes:clinical-trialspharmaverser-package

sdtm.oak vs Tplyr: at a glance

Featuresdtm.oakTplyr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesclinical-trials, sdtm, pharmaverse, r-packageclinical-trials, tables, traceability, r-package
Last editorial update5h ago1h ago
WebsiteVisit →Visit →

What is sdtm.oak?

Two releases in, the open-source SDTM toolkit now covers the domains it originally excluded.

sdtm.oak builds SDTM datasets — the tabulation standard clinical trial submissions are filed in — from raw collected data. The 0.1.0 release shipped the mapping algorithm functions and derived-variable helpers but explicitly excluded DM, trial design domains, and several others. Version 0.2.0 closes the largest of those gaps, adding DM domain support via calc_min_max_date() and oak_calc_ref_dates(), plus generate_sdtm_supp() for supplemental qualifier domains.

Read the full sdtm.oak trajectory →

What is Tplyr?

Tplyr made clinical summary tables explain where every number came from.

Tplyr builds clinical summary tables through a layered grammar — count, descriptive statistics, and shift layers assembled onto a table object. The 1.0.0 release added a traceability metadata framework that lets a user ask which source rows produced any given cell, and later releases extended it to cases the first pass missed. The package is maintained by Atorus within the pharmaverse ecosystem.

Read the full Tplyr trajectory →

sdtm.oak vs Tplyr: editorial side-by-side

S
sdtm.oak
ANALYTICS
0.0

Two releases in, the open-source SDTM toolkit now covers the domains it originally excluded.

◆ Current state

sdtm.oak builds SDTM datasets — the tabulation standard clinical trial submissions are filed in — from raw collected data. The 0.1.0 release shipped the mapping algorithm functions and derived-variable helpers but explicitly excluded DM, trial design domains, and several others. Version 0.2.0 closes the largest of those gaps, adding DM domain support via calc_min_max_date() and oak_calc_ref_dates(), plus generate_sdtm_supp() for supplemental qualifier domains.

◆ Where it's heading

This is the pharmaverse pattern of building submission tooling in the open, one domain class at a time, with the release history running through GitHub release-candidate tags before each CRAN submission. The direction is clear from the domain checklist: start with the mechanically simple Findings and Events domains, then work toward the ones with cross-dataset dependencies. DM and SUPP were the two that most often forced teams back to bespoke code.

◆ Prediction

The remaining exclusions from the 0.1.0 scope — trial design domains, SV, SE, RELREC and the EPOCH variable — are the obvious next targets, with EPOCH likely first since it depends on the reference dates 0.2.0 just added. Expect the same rhythm of release candidates ahead of each CRAN submission.

T
Tplyr
ANALYTICS
0.0

Tplyr made clinical summary tables explain where every number came from.

◆ Current state

Tplyr builds clinical summary tables through a layered grammar — count, descriptive statistics, and shift layers assembled onto a table object. The 1.0.0 release added a traceability metadata framework that lets a user ask which source rows produced any given cell, and later releases extended it to cases the first pass missed. The package is maintained by Atorus within the pharmaverse ecosystem.

◆ Where it's heading

Post-1.0 work has been about completing the metadata story and filling gaps in layer composition rather than adding table types — metadata for missing subjects, add_anti_join(), missing-subject rows, data limiting, and fixes to nested count layers where an inner value appears under several outer groups. Releases cluster tightly after a major version, then go quiet, and the window ends with a patch issued days after the release it corrects.

◆ Prediction

Further releases will most likely continue closing traceability and nested-layer edge cases rather than introducing new layer types, following the pattern of both post-1.0 feature releases.

Alternatives to sdtm.oak and Tplyr

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 sdtm.oak or Tplyr.

See all sdtm.oak alternatives → · See all Tplyr alternatives →

Recent activity from sdtm.oak and Tplyr

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

  1. 1y agosdtm.oaksdtm.oak v0.2.0 CRAN release
  2. 1y agosdtm.oaksdtm.oak v0.1.1 CRAN release
  3. 1y agosdtm.oaksdtm.oak v0.1.0 CRAN release
  4. 1y agosdtm.oakv0.1.0rc4: [skip vbump] 90 cran comments (#91)
  5. 2y agosdtm.oakv0.1.0rc2: Fix CRAN Comments (#84)
  6. 2y agosdtm.oakv0.1.0: [skip vbump] Bump version for cran release (#77)
  7. 2y agoTplyrMissing-subject metadata, add_anti_join(), and nested-layer fixes
  8. 3y agoTplyrMetadata vignette fix and parenthesis hugging
  9. 3y agoTplyrDenominator logic fix ahead of CRAN release
  10. 3y agoTplyrReverse-dependency fix
  11. 3y agoTplyr1.0.0 introduces the traceability metadata framework

Frequently asked questions

What is the difference between sdtm.oak and Tplyr?

Both compete on the same themes — clinical-trials, pharmaverse, r-package — within Analytics. sdtm.oak and Tplyr 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 sdtm.oak better than Tplyr?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. sdtm.oak and Tplyr 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 sdtm.oak?

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

What are the best alternatives to Tplyr?

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