excluder
A Qualtrics data-cleaning package that has been in maintenance mode since its CRAN acceptance.
A side-by-side editorial comparison of admiralophtha and cloudml — release velocity, themes, recent moves, and the top alternatives to consider.
Ophthalmology ADaM support is migrating its derivations upstream into admiral core.
admiralophtha supplies ophthalmology-specific ADaM templates and vignettes — ADBCVA, ADOE, ADVFQ — on top of admiral. Releases arrive roughly twice a year and are dominated by template and vignette modernisation plus a long, deliberate deprecation of the package's own criterion-flag helper in favour of admiral::derive_vars_crit_flag(). The 1.5.0 release advances that deprecation to its warning phase and adds a template explorer.
Six years since the last functional change, and Google renamed the service it wraps in the release before that
cloudml lets R users train keras, tfestimators and tensorflow models on Google's managed machine learning service, tune hyperparameters there, and deploy the results. Its last release with functional content was 0.6.1 in September 2019, which adapted to Google renaming the service from ml-engine to ai-platform. The only entry since is a 2025 documentation update made to satisfy CRAN.
admiralophtha supplies ophthalmology-specific ADaM templates and vignettes — ADBCVA, ADOE, ADVFQ — on top of admiral. Releases arrive roughly twice a year and are dominated by template and vignette modernisation plus a long, deliberate deprecation of the package's own criterion-flag helper in favour of admiral::derive_vars_crit_flag(). The 1.5.0 release advances that deprecation to its warning phase and adds a template explorer.
The arc is consolidation: functions the package invented are being retired as admiral core grows generic equivalents, leaving admiralophtha as the place where ophthalmology conventions are documented. Recent releases spend their weight on templates and vignettes — VFQ guidance alignment, IOP parameter mapping, subject-key options — rather than new exported code. Deprecations are run on a fixed six-month, one-release-per-phase clock, which makes the migration path unusually legible.
derive_var_bcvacritxfl() should reach its error phase and then removal over the next two releases, with the accompanying work being ADBCVA vignette and template edits rather than new functions.
cloudml lets R users train keras, tfestimators and tensorflow models on Google's managed machine learning service, tune hyperparameters there, and deploy the results. Its last release with functional content was 0.6.1 in September 2019, which adapted to Google renaming the service from ml-engine to ai-platform. The only entry since is a 2025 documentation update made to satisfy CRAN.
The visible arc is short and stops abruptly. Releases through 2018 tracked the TensorFlow runtime version and patched packaging problems; 0.6.1 added a customCommands hook so users could run OS-level setup before package installation, and adjusted to the service's new name. Then nothing for six years. A 2025 release containing only documentation changes is the standard signal of a package being kept on CRAN rather than being developed.
There is nothing in this feed to support a prediction of functional work. The most likely next event is another CRAN-driven documentation patch, or archival.
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 admiralophtha or cloudml.
A Qualtrics data-cleaning package that has been in maintenance mode since its CRAN acceptance.
Geospatial targets grew from two raster helpers into a tiling and multi-backend pipeline layer.
A foraminifera data-access package whose entire release history is the rOpenSci review process.
A data-quality report generator that finished its API rewrite and has been coasting on small features since.
The clinical-report table engine learned Chinese, then learned to leave RTF entirely
New stewardship at openpharma, then two releases adding the methods MCP-Mod was missing
See all admiralophtha alternatives → · See all cloudml alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. admiralophtha and cloudml 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. admiralophtha and cloudml 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 admiralophtha alternatives in Analytics are ranked by recent ship velocity. Browse the "admiralophtha alternatives" section above for the current picks, or visit /alternatives/admiralophtha for the full list with editorial commentary on each.
Top cloudml alternatives in Analytics are ranked by recent ship velocity. Browse the "cloudml alternatives" section above for the current picks, or visit /alternatives/cloudml for the full list with editorial commentary on each.