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Comparison · Analytics

omopsketch vs tern.rbmi

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

omopsketch vs tern.rbmi: at a glance

Featureomopsketchtern.rbmi
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesomop-cdm, health-data, database, r-packagepharmaverse, multiple-imputation, cran-maintenance, tabulation
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is omopsketch?

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.

Read the full omopsketch trajectory →

What is tern.rbmi?

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.

Read the full tern.rbmi trajectory →

omopsketch vs tern.rbmi: editorial side-by-side

O
omopsketch
ANALYTICS
0.0

Health-data characterisation tooling maturing through steady issue-by-issue tightening.

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

Expect continued tightening of the summarise* family and its table output options; with only three releases visible, the cadence itself is hard to read.

T
tern.rbmi
ANALYTICS
0.0

Reference-based multiple imputation tables, shipping only what CRAN checks demand.

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

Expect the next release to be triggered by a CRAN check failure or an {rbmi} update rather than by new tabulation features.

Alternatives to omopsketch and tern.rbmi

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.

See all omopsketch alternatives → · See all tern.rbmi alternatives →

Recent activity from omopsketch and tern.rbmi

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

  1. 1y agotern.rbmiVignette built only under gcc
  2. 1y agoomopsketchKeeps clinical-record summaries in the database
  3. 1y agotern.rbmiV8 added to Suggests
  4. 1y agoomopsketchInterval arguments replace year; counts restricted to observation
  5. 1y agoomopsketchBug fixes and dateRange semantics clarified
  6. 1y agotern.rbmiCRAN resubmission with dependency and workflow updates
  7. 3y agotern.rbmiAutomated release commit for 0.1.1
  8. 4y agotern.rbmiDevelopment version bump to 0.1.0.9004
  9. 4y agotern.rbmiCI automation commit, no release content

Frequently asked questions

What is the difference between omopsketch and tern.rbmi?

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.

Is omopsketch better than tern.rbmi?

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.

What are the best alternatives to omopsketch?

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.

What are the best alternatives to tern.rbmi?

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.