osmapiR
osmapiR is the rare API client that tracks its server's wiki revision numbers in the changelog.
A side-by-side editorial comparison of qualtRics and sdtm.oak — release velocity, themes, recent moves, and the top alternatives to consider.
qualtRics moved its contact functions onto XM Directory days before the old endpoints died.
qualtRics is the R client for the Qualtrics v3 API — fetching survey responses, definitions, distributions, and contact lists into tidy data frames. Version 3.3.0 migrated all_mailinglists() and fetch_mailinglist() from the deprecated Research Core Contacts endpoints to XM Directory, ahead of Qualtrics retiring the old ones on June 30, 2026. Authentication and directory discovery are handled automatically, but the new endpoints return a different data shape, so column names changed. Before that, releases had been steady maintenance for two years, mostly around how survey response archives are unpacked.
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.
qualtRics is the R client for the Qualtrics v3 API — fetching survey responses, definitions, distributions, and contact lists into tidy data frames. Version 3.3.0 migrated all_mailinglists() and fetch_mailinglist() from the deprecated Research Core Contacts endpoints to XM Directory, ahead of Qualtrics retiring the old ones on June 30, 2026. Authentication and directory discovery are handled automatically, but the new endpoints return a different data shape, so column names changed. Before that, releases had been steady maintenance for two years, mostly around how survey response archives are unpacked.
This package's roadmap is set by Qualtrics, not by its maintainers, and the release history reads as a sequence of accommodations — endpoint changes, retired APIs, and edge cases in exported files. The team's own recurring theme is reducing surprise: caching was removed from fetch_survey() in 3.2.0 so results are never stale, error handling was standardized on retry semantics, and column mappings were made inspectable via extract_colmap(). Feature additions, when they come, are new endpoints wrapped rather than new abstractions.
With the Contacts migration complete, the next likely work is bringing the remaining Research Core-era functions onto XM Directory equivalents before Qualtrics retires more of the old surface.
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.
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.
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.
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 qualtRics or sdtm.oak.
osmapiR is the rare API client that tracks its server's wiki revision numbers in the changelog.
ymlthis retired itself, naming Quarto as the reason it no longer needs to exist.
forestly built an interactive safety review tool, then taught it to produce submission-ready RTF.
pharmaverseadam is the pharmaverse's test-data mirror, and it now covers neurology.
pkglite's whole job is knowing which files in an R package are text — and it keeps getting better at guessing.
gMCPLite exists to be gMCP without Java, and its releases guard that boundary rather than extend it.
See all qualtRics alternatives → · See all sdtm.oak alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. qualtRics and sdtm.oak 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. qualtRics and sdtm.oak 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.
Top qualtRics alternatives in Analytics are ranked by recent ship velocity. Browse the "qualtRics alternatives" section above for the current picks, or visit /alternatives/qualtrics for the full list with editorial commentary on each.
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.