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pharmaversesdtm vs tulpa

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

pharmaversesdtm vs tulpa: at a glance

Featurepharmaversesdtmtulpa
SectorAnalyticsAnalytics
Velocity score0.07.5
Sparks · 30d02
Top themespharmaverse, sdtm, cdisc, test-databayesian-inference, cran-release, r-packages, spatial-modeling
Last editorial update5d ago8h ago
WebsiteVisit →Visit →

What is pharmaversesdtm?

pharmaversesdtm is the test-data layer every pharmaverse package now builds against.

The package ships example SDTM datasets and has grown one therapeutic area at a time — ophthalmology, oncology response criteria, vaccines, metabolic, neurology, and now lymphoma under Lugano 2014. Sibling packages keep moving their internal test data here, so its release notes double as a record of what the rest of the pharmaverse is building.

Read the full pharmaversesdtm trajectory →

What is tulpa?

The 0.0.x train stops at CRAN: tulpa's engine ships to the ecosystem it already anchors.

tulpa is the C++/R Bayesian spatial inference engine sitting under gcol33's family of ecological occupancy packages, tagging 0.0.x releases several times a week. 0.1.0 is its first CRAN release, and the notes state outright that the engine surface is unchanged from 0.0.198 — the work is packaging discipline: local T bindings rebound to n_t/n_times, OpenMP teams capped under R CMD check, the pkgdown deploy narrowed, an aspell dictionary added. The window behind it splits between the S3 generics conversion and numerical-correctness work in the nested-Laplace grid.

Read the full tulpa trajectory →

pharmaversesdtm vs tulpa: editorial side-by-side

P0.0

pharmaversesdtm is the test-data layer every pharmaverse package now builds against.

◆ Current state

The package ships example SDTM datasets and has grown one therapeutic area at a time — ophthalmology, oncology response criteria, vaccines, metabolic, neurology, and now lymphoma under Lugano 2014. Sibling packages keep moving their internal test data here, so its release notes double as a record of what the rest of the pharmaverse is building.

◆ Where it's heading

Two kinds of work alternate: adding domains and biomarkers for a new indication, and making the existing data easier to reach — CSV copies under inst/extdata for non-R programmers, a datasets preview vignette, reference pages categorised by therapeutic area, variable-by-variable breakdowns. Consistency fixes against CDISC terminology and SDTM guidelines run through every release.

◆ Prediction

New therapeutic areas will keep arriving in step with the admiral extension packages that need them; the neurology and metabolic datasets landed just ahead of admiralneuro and admiralmetabolic needing them, and lymphoma looks like the next in that sequence.

T
tulpa
ANALYTICS
7.5

The 0.0.x train stops at CRAN: tulpa's engine ships to the ecosystem it already anchors.

◆ Current state

tulpa is the C++/R Bayesian spatial inference engine sitting under gcol33's family of ecological occupancy packages, tagging 0.0.x releases several times a week. 0.1.0 is its first CRAN release, and the notes state outright that the engine surface is unchanged from 0.0.198 — the work is packaging discipline: local T bindings rebound to n_t/n_times, OpenMP teams capped under R CMD check, the pkgdown deploy narrowed, an aspell dictionary added. The window behind it splits between the S3 generics conversion and numerical-correctness work in the nested-Laplace grid.

◆ Where it's heading

Two moves in nine days point at the same destination: the generics conversion made tulpa extensible by downstream packages, and CRAN admission makes it installable by them. The current cadence — several tags a week, some existing only to record a measurement that produced no code change — does not survive CRAN's submission overhead, so the release rhythm has to slow whether or not the project intends it. The correctness work still clusters on the joint nested-Laplace driver, and 0.1.0 extends the same diagnostics habit with .NL_AXIS_SD_REASONS, a closed vocabulary for an outer axis whose grid does not contain its own posterior mode.

◆ Prediction

Expect tulpaObs to follow tulpa onto CRAN, since it is the consumer whose registrations the engine has spent this window unblocking, and expect the version line to move in larger, less frequent steps now that each one carries a submission.

Alternatives to pharmaversesdtm and tulpa

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 pharmaversesdtm or tulpa.

See all pharmaversesdtm alternatives → · See all tulpa alternatives →

Recent activity from pharmaversesdtm and tulpa

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

  1. 17h agotulpaFirst CRAN release: engine surface unchanged from 0.0.198
  2. 4d agotulpatulpa_re_aghq() exposes the mode/theta cross-Hessian
  3. 8d agotulpaDense batched joint path could silently drop a grid cell
  4. 8d agotulpaCalibration and goodness-of-fit entry points become S3 generics
  5. 9d agotulpaCUDA backend had two definitions; link order decided if it ran
  6. 9d agotulpaHyperparameter bounds now flag when they leave the node range
  7. 1mo agopharmaversesdtmLymphoma response data and geographic-atrophy tests
  8. 4mo agopharmaversesdtmCSV exports and microbiology domains for wider access
  9. 7mo agopharmaversesdtmNeurological SDTM datasets and Alzheimer's biomarkers
  10. 0y agopharmaversesdtmMaintainer and licensing update
  11. 1y agopharmaversesdtmMetabolic SDTM datasets and PCWG3 oncology response
  12. 1y agopharmaversesdtmGCIG response data and automated reference pages

Frequently asked questions

What is the difference between pharmaversesdtm and tulpa?

They serve adjacent needs but don't currently overlap on shipped themes. tulpa is currently shipping more aggressively (velocity 7.5 vs 0.0), with 2 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is pharmaversesdtm better than tulpa?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. tulpa is currently shipping more aggressively (velocity 7.5 vs 0.0), with 2 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to pharmaversesdtm?

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

What are the best alternatives to tulpa?

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