qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
A side-by-side editorial comparison of omopsketch and tern.rbmi — release velocity, themes, recent moves, and the top alternatives to consider.
Health-data characterisation tooling maturing through steady issue-by-issue tightening.
OmopSketch summarises and characterises OMOP Common Data Model databases — clinical records, observation periods, concept counts and missing data. Recent releases have tightened the semantics of those summaries: only records within observation are counted, study ranges are trimmed consistently, and a collect() was removed so more of the work stays in the database. Development is dominated by a single contributor working through numbered issues.
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
tern.rbmi renders the output of {rbmi} reference-based multiple imputation analyses into tern tables for clinical reporting. Its three most recent releases exist to satisfy CRAN: restricting vignette builds to gcc, adding V8 to Suggests, and a plain resubmission. No user-facing functionality has changed in the visible window, and the three older entries now backfilled are version-bump automation.
OmopSketch summarises and characterises OMOP Common Data Model databases — clinical records, observation periods, concept counts and missing data. Recent releases have tightened the semantics of those summaries: only records within observation are counted, study ranges are trimmed consistently, and a collect() was removed so more of the work stays in the database. Development is dominated by a single contributor working through numbered issues.
The package is moving from producing summaries toward producing defensible ones. Interval-based arguments replaced the narrower year argument, table output gained a datatable option, and the vignette now demonstrates a full characterisation feeding a Shiny app. The pattern is refinement of existing summarise* functions rather than new analytic surface.
Expect continued tightening of the summarise* family and its table output options; with only three releases visible, the cadence itself is hard to read.
tern.rbmi renders the output of {rbmi} reference-based multiple imputation analyses into tern tables for clinical reporting. Its three most recent releases exist to satisfy CRAN: restricting vignette builds to gcc, adding V8 to Suggests, and a plain resubmission. No user-facing functionality has changed in the visible window, and the three older entries now backfilled are version-bump automation.
This is a thin adapter package and behaves like one — it moves when CRAN or an upstream dependency forces it to. Between 2022 and 2024 the feed shows only version bumps, and the 2025 releases are packaging concerns rather than analysis changes. The newly surfaced 2022 entries reinforce rather than change that reading.
Expect the next release to be triggered by a CRAN check failure or an {rbmi} update rather than by new tabulation features.
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 omopsketch or tern.rbmi.
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
The R client for AusTraits spends its releases chasing the dataset it reads.
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
A fossil-record simulator that quietly grew a trait-evolution engine.
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
See all omopsketch alternatives → · See all tern.rbmi alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. omopsketch and tern.rbmi 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. omopsketch and tern.rbmi 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 omopsketch alternatives in Analytics are ranked by recent ship velocity. Browse the "omopsketch alternatives" section above for the current picks, or visit /alternatives/omopsketch for the full list with editorial commentary on each.
Top tern.rbmi alternatives in Analytics are ranked by recent ship velocity. Browse the "tern.rbmi alternatives" section above for the current picks, or visit /alternatives/tern-rbmi for the full list with editorial commentary on each.