webmockr
The stubbing library added httr2 support, then spent a year cutting itself free of everything else
Comparison · Analytics
gMCPLite vs sdtm.oak
A side-by-side editorial comparison of gMCPLite and sdtm.oak — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:clinical-trials
gMCPLite vs sdtm.oak: at a glance
What is gMCPLite?
gMCPLite exists to be gMCP without Java, and its releases guard that boundary rather than extend it.
gMCPLite is a fork of gMCP with the Java dependency removed and `hGraph()` ported over from gsDesign, giving R users graphical multiple comparison procedures and their visualisation without a JVM. Since that fork, no release has added a statistical capability. The visible history is compatibility work: ggplot2 3.5.0 argument naming, a cairo device for Unicode in examples, testthat 3.3.0 snapshot requirements, and a selective port of an upstream confidence-interval fix.
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.
gMCPLite vs sdtm.oak: editorial side-by-side
gMCPLite
0.0ANALYTICS
gMCPLite exists to be gMCP without Java, and its releases guard that boundary rather than extend it.
◆ Current state
gMCPLite is a fork of gMCP with the Java dependency removed and `hGraph()` ported over from gsDesign, giving R users graphical multiple comparison procedures and their visualisation without a JVM. Since that fork, no release has added a statistical capability. The visible history is compatibility work: ggplot2 3.5.0 argument naming, a cairo device for Unicode in examples, testthat 3.3.0 snapshot requirements, and a selective port of an upstream confidence-interval fix.
◆ Where it's heading
This is a package with a fixed job. The maintainers track two moving targets — the upstream gMCP it forked from, and the R graphics and testing stack underneath it — and pull across only what is needed. The addition of vdiffr visual regression tests for `hGraph()` is the most substantive recent change and fits the same posture: the plots are the deliverable, so pin them against accidental drift rather than redesign them.
◆ Prediction
Expect the pattern to continue — compatibility releases driven by ggplot2, testthat and pkgdown changes, with any statistical content arriving only as a selective port from upstream gMCP.
sdtm.oak
0.0ANALYTICS
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.
Alternatives to gMCPLite and sdtm.oak
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 gMCPLite or sdtm.oak.
crul
crul took mocking back from webmockr and made it a property of the client itself
dendroNetwork
Six releases, six identical bodies — the feed carries the package abstract instead of release notes
chattr
chattr deleted every LLM integration it had written and outsourced the lot to ellmer
cloudml
Six years since the last functional change, and Google renamed the service it wraps in the release before that
tidymodels
The meta-package ships almost nothing, which is exactly what a version-pinning shim should do
See all gMCPLite alternatives → · See all sdtm.oak alternatives →
Recent activity from gMCPLite and sdtm.oak
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 5mo agogMCPLiteSnapshot files bundled for testthat 3.3.0
- 11mo agogMCPLiteVisual regression tests added for hGraph()
- 1y agosdtm.oaksdtm.oak v0.2.0 CRAN release ⚡
- 1y agosdtm.oaksdtm.oak v0.1.1 CRAN release
- 1y agosdtm.oaksdtm.oak v0.1.0 CRAN release
- 1y agosdtm.oakv0.1.0rc4: [skip vbump] 90 cran comments (#91)
- 2y agosdtm.oakv0.1.0rc2: Fix CRAN Comments (#84)
- 2y agosdtm.oakv0.1.0: [skip vbump] Bump version for cran release (#77)
- 2y agogMCPLiteConfidence interval fix ported from upstream gMCP
- 2y agogMCPLitecairo_pdf device for Unicode in examples
- 2y agogMCPLitepkgdown tabset rendering fixed
- 3y agogMCPLiteBuild ignores docs; typos corrected
Frequently asked questions
What is the difference between gMCPLite and sdtm.oak?
Both compete on the same themes — clinical-trials — within Analytics. gMCPLite 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.
Is gMCPLite better than sdtm.oak?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. gMCPLite 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.
What are the best alternatives to gMCPLite?
Top gMCPLite alternatives in Analytics are ranked by recent ship velocity. Browse the "gMCPLite alternatives" section above for the current picks, or visit /alternatives/gmcplite for the full list with editorial commentary on each.
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.