qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
Comparison · Analytics
ggmagnify vs omopsketch
A side-by-side editorial comparison of ggmagnify and omopsketch — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
ggmagnify vs omopsketch: at a glance
What is ggmagnify?
A single-purpose ggplot2 inset tool, refining the same three arguments.
ggmagnify draws magnified insets of a region of a ggplot, with projection lines connecting the inset to its source area. The visible releases are all small refinements to how that inset looks — corner radius, fill between projection lines — plus one fix for inset themes being overridden. There are only three entries, so the picture is necessarily partial.
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.
ggmagnify vs omopsketch: editorial side-by-side
ggmagnify
0.0ANALYTICS
A single-purpose ggplot2 inset tool, refining the same three arguments.
◆ Current state
ggmagnify draws magnified insets of a region of a ggplot, with projection lines connecting the inset to its source area. The visible releases are all small refinements to how that inset looks — corner radius, fill between projection lines — plus one fix for inset themes being overridden. There are only three entries, so the picture is necessarily partial.
◆ Where it's heading
Work concentrates on the visual finish of the inset rather than on new capability, which is what a package with one job should look like. Two feature releases a week apart in early 2024 suggest a short burst of attention rather than sustained development, and the feed goes quiet after mid-2024.
◆ Prediction
Too few entries to call a direction with confidence; continued small styling arguments would be consistent with what is visible.
omopsketch
0.0ANALYTICS
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.
Alternatives to ggmagnify and omopsketch
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 ggmagnify or omopsketch.
constants
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
austraits
The R client for AusTraits spends its releases chasing the dataset it reads.
ggdemetra
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
fossilsim
A fossil-record simulator that quietly grew a trait-evolution engine.
tern.rbmi
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
See all ggmagnify alternatives → · See all omopsketch alternatives →
Recent activity from ggmagnify and omopsketch
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1y agoomopsketchKeeps clinical-record summaries in the database
- 1y agoomopsketchInterval arguments replace year; counts restricted to observation
- 1y agoomopsketchBug fixes and dateRange semantics clarified
- 2y agoggmagnifyFixes inset theme override on supplied plots
- 2y agoggmagnifyAdds fill between projection lines
- 2y agoggmagnifyAdds corner radius for target and inset
Frequently asked questions
What is the difference between ggmagnify and omopsketch?
Both compete on the same themes — r-package — within Analytics. ggmagnify and omopsketch 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 ggmagnify better than omopsketch?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggmagnify and omopsketch 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 ggmagnify?
Top ggmagnify alternatives in Analytics are ranked by recent ship velocity. Browse the "ggmagnify alternatives" section above for the current picks, or visit /alternatives/ggmagnify for the full list with editorial commentary on each.
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.