qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
Comparison · Analytics
ggmagnify vs ss3diags
A side-by-side editorial comparison of ggmagnify and ss3diags — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
ggmagnify vs ss3diags: 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 ss3diags?
A fisheries diagnostics package that lives and dies by one upstream dependency.
ss3diags provides residual, retrospective and hindcast cross-validation diagnostics for Stock Synthesis models, sitting directly on top of r4ss. Its recent history is dominated by that dependency: when r4ss 1.50.0 renamed columns across its read and write functions, ss3diags pinned itself to 1.49.3 only, then spent the following release adapting. It now requires r4ss 1.50.0 and above and has moved to native R pipes.
ggmagnify vs ss3diags: 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.
ss3diags
0.0ANALYTICS
A fisheries diagnostics package that lives and dies by one upstream dependency.
◆ Current state
ss3diags provides residual, retrospective and hindcast cross-validation diagnostics for Stock Synthesis models, sitting directly on top of r4ss. Its recent history is dominated by that dependency: when r4ss 1.50.0 renamed columns across its read and write functions, ss3diags pinned itself to 1.49.3 only, then spent the following release adapting. It now requires r4ss 1.50.0 and above and has moved to native R pipes.
◆ Where it's heading
The package is a downstream consumer whose release schedule is largely dictated by NOAA's r4ss. Between compatibility passes it has been shifting documentation from loose cookbook scripts into proper vignettes and shedding bundled Rdata in favour of objects generated at build time. Note that 2.0.3 and 2.1.0 were published the same day, so version order in this feed does not track chronology.
◆ Prediction
The next release most likely follows the next breaking r4ss change; between those, expect continued vignette and parameter-validation work.
Alternatives to ggmagnify and ss3diags
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 ss3diags.
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 ss3diags alternatives →
Recent activity from ggmagnify and ss3diags
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1y agoss3diagsAdapts to r4ss 1.50.0 and drops the local binary fetcher
- 1y agoss3diagsPins r4ss to 1.49.3 after upstream breaking changes
- 2y agoggmagnifyFixes inset theme override on supplied plots
- 2y agoss3diagsVignette tutorials replace cookbook scripts
- 2y agoggmagnifyAdds fill between projection lines
- 2y agoggmagnifyAdds corner radius for target and inset
- 3y agoss3diagsSSdeltaMVLN gains variance-covariance and bias options
- 3y agoss3diagsAligns with CRAN r4ss 1.44.0 and shared CI workflows
- 3y agoss3diagsSSrmse() split out as a standalone calculation
Frequently asked questions
What is the difference between ggmagnify and ss3diags?
Both compete on the same themes — r-package — within Analytics. ggmagnify and ss3diags 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 ss3diags?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggmagnify and ss3diags 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 ss3diags?
Top ss3diags alternatives in Analytics are ranked by recent ship velocity. Browse the "ss3diags alternatives" section above for the current picks, or visit /alternatives/ss3diags for the full list with editorial commentary on each.