qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
Comparison · Analytics
ggmagnify vs omock
A side-by-side editorial comparison of ggmagnify and omock — release velocity, themes, recent moves, and the top alternatives to consider.
ggmagnify vs omock: 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 omock?
A mock-data generator for OMOP studies that keeps widening what it can fake.
omock builds synthetic OMOP Common Data Model tables so packages in the darwin-eu and OHDSI ecosystem can be tested without touching patient data. The 0.7.0 release adds concept set subsetting with its own vignette, unit and value support in mockMeasurement, observation date validation and cohort attrition initialization, while deprecating mockConcepts. Releases arrive as PR digests rather than written notes.
ggmagnify vs omock: 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.
omock
0.0ANALYTICS
A mock-data generator for OMOP studies that keeps widening what it can fake.
◆ Current state
omock builds synthetic OMOP Common Data Model tables so packages in the darwin-eu and OHDSI ecosystem can be tested without touching patient data. The 0.7.0 release adds concept set subsetting with its own vignette, unit and value support in mockMeasurement, observation date validation and cohort attrition initialization, while deprecating mockConcepts. Releases arrive as PR digests rather than written notes.
◆ Where it's heading
The package has been moving from generating tables to shipping and managing reference datasets — mockDatasets arrived in 0.4.0, mockCdmFromDataset gained a source argument in 0.5.0, and 0.6.1 added download retry handling plus an internal GiBleed dataset after the hosted files moved. The recent work is filling in CDM fidelity: type concepts, measurement units, attrition, and guards for degenerate cases like an empty person table.
◆ Prediction
Expect coverage to keep extending table by table toward the parts of the CDM that omock still cannot mock, with mockConcepts removed outright once the concept set subsetting path settles.
Alternatives to ggmagnify and omock
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 omock.
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 omock alternatives →
Recent activity from ggmagnify and omock
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoomockConcept set subsetting and richer measurement mocks
- 4mo agoomockDelphi dataset added and CDM version bumped
- 6mo agoomockDataset downloads survive the storage move
- 11mo agoomockJOSS submission tag alongside the 0.5.0 release
- 11mo agoomockmockCdmFromDataset gains a source argument
- 1y agoomockmockDatasets introduces bundled reference data
- 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 omock?
They serve adjacent needs but don't currently overlap on shipped themes. ggmagnify and omock 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 omock?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggmagnify and omock 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 omock?
Top omock alternatives in Analytics are ranked by recent ship velocity. Browse the "omock alternatives" section above for the current picks, or visit /alternatives/omock-r for the full list with editorial commentary on each.