webchem
Adding chemical databases with one hand while public ones close programmatic access with the other.
A side-by-side editorial comparison of admiralonco and ggsurvfit — release velocity, themes, recent moves, and the top alternatives to consider.
The oncology ADaM helper is dissolving into admiral core, one deprecation at a time.
admiralonco is the oncology companion to admiral, and it ships response-criteria recipes rather than code: RECIST, iRECIST, IMWG, GCIG and PCWG3 each arrive as a vignette plus an ADaM template. Cadence is one or two releases a year, each adding a criteria vignette. The 1.4.0 release began deprecating most of the package's own exported functions in favour of generic admiral equivalents.
ggsurvfit is in correctness-and-compatibility mode, not feature mode.
The package draws survival and cumulative-incidence curves on a ggplot2 grammar, with risk tables, p-values and quantile annotations. Recent releases are entirely fixes and upstream tracking: ggplot2 v4.0.0 compatibility in 2025, and a 2026 patch correcting a Gray-test p-value that could be reported for the wrong competing event.
admiralonco is the oncology companion to admiral, and it ships response-criteria recipes rather than code: RECIST, iRECIST, IMWG, GCIG and PCWG3 each arrive as a vignette plus an ADaM template. Cadence is one or two releases a year, each adding a criteria vignette. The 1.4.0 release began deprecating most of the package's own exported functions in favour of generic admiral equivalents.
The package is converging on a documentation-and-templates model: reusable derivation logic moves upstream into admiral, and admiralonco keeps only the oncology-specific know-how. Every release since 1.0.0 has added a criteria vignette rather than new exported functions, and 1.4.1 extends that by making the template set browsable from the Get Started menu. The surface users program against is shrinking while the guidance they read is growing.
Expect the deprecation cycle started in 1.4.0 to advance through its warning and error phases across the next one or two releases, with new work arriving as another response-criteria vignette rather than new functions.
The package draws survival and cumulative-incidence curves on a ggplot2 grammar, with risk tables, p-values and quantile annotations. Recent releases are entirely fixes and upstream tracking: ggplot2 v4.0.0 compatibility in 2025, and a 2026 patch correcting a Gray-test p-value that could be reported for the wrong competing event.
The feature surface settled around 1.0.0, when risk-table alignment was exported and colour and linetype defaults became configurable. Since then the work is keeping pace with survival, ggplot2 and tidycmprsk changes, and closing cases where the plotted curve and the annotation disagreed — the p-value matched by position rather than name, confidence limits swapped for multi-state models, quantiles read off a plateau.
Expect the next release to track upstream survival or ggplot2 changes rather than add plotting features; the CDISC censoring convention adopted in Surv_CNSR() suggests further alignment with clinical data standards is the likelier direction.
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 admiralonco or ggsurvfit.
Adding chemical databases with one hand while public ones close programmatic access with the other.
The spatiotemporal companion to sf, moving at the pace of the packages around it.
An interface to Europe's long-term ecosystem research network that went quiet after 2.0.
Spatial model assessment that spent the last year on cross-platform arithmetic and CRAN rules.
Stopped trusting the cloud to prepare its taxonomic databases and does the conversion locally.
Went from estimating felling dates to doing the crossdating that produces them.
See all admiralonco alternatives → · See all ggsurvfit alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. ggsurvfit is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggsurvfit is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 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.
Top admiralonco alternatives in Analytics are ranked by recent ship velocity. Browse the "admiralonco alternatives" section above for the current picks, or visit /alternatives/admiralonco for the full list with editorial commentary on each.
Top ggsurvfit alternatives in Analytics are ranked by recent ship velocity. Browse the "ggsurvfit alternatives" section above for the current picks, or visit /alternatives/ggsurvfit for the full list with editorial commentary on each.