qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
Comparison · Analytics
ggmagnify vs r4ss
A side-by-side editorial comparison of ggmagnify and r4ss — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
ggmagnify vs r4ss: 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 r4ss?
NOAA's Stock Synthesis toolkit renamed its columns and shook the packages built on it.
r4ss reads, writes, runs and plots Stock Synthesis fisheries models, and is the base layer for a set of NOAA assessment packages. The current release tracks SS3 3.30.23.1 with plot and reader fixes. The consequential recent change was structural: the SS_read* functions standardised their column names, which broke downstream packages and forced at least one to pin an older version.
ggmagnify vs r4ss: 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.
r4ss
0.0ANALYTICS
NOAA's Stock Synthesis toolkit renamed its columns and shook the packages built on it.
◆ Current state
r4ss reads, writes, runs and plots Stock Synthesis fisheries models, and is the base layer for a set of NOAA assessment packages. The current release tracks SS3 3.30.23.1 with plot and reader fixes. The consequential recent change was structural: the SS_read* functions standardised their column names, which broke downstream packages and forced at least one to pin an older version.
◆ Where it's heading
The project explicitly de-emphasises releases — the notes tell users to install the latest development version and treat tags as anchors for dependent packages. That has produced a rhythm of long quiet stretches punctuated by a breaking cleanup: the run-function revamp in 1.46.1, then the column renaming in 1.50.0. Ordinary releases in between are SS3 version tracking.
◆ Prediction
Expect the next tagged release to follow the next SS3 version rather than a fixed schedule, with continued incremental plotting and reader fixes.
Alternatives to ggmagnify and r4ss
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 r4ss.
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 r4ss alternatives →
Recent activity from ggmagnify and r4ss
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1y agor4ssTracks SS3 3.30.23.1 with reader and plotting fixes
- 2y agor4ssSS_read* column names standardised in a breaking cleanup ⚡
- 2y agoggmagnifyFixes inset theme override on supplied plots
- 2y agoggmagnifyAdds fill between projection lines
- 2y agoggmagnifyAdds corner radius for target and inset
- 4y agor4ssModel-running functions renamed and standardised
- 4y agor4ssCRAN release matching SS3 3.30.19.01
- 5y agor4ssCompatibility release for SS3 3.30.17.00
- 6y agor4ssCompatibility release for SS3 3.30.15.00
Frequently asked questions
What is the difference between ggmagnify and r4ss?
Both compete on the same themes — r-package — within Analytics. ggmagnify and r4ss 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 r4ss?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggmagnify and r4ss 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 r4ss?
Top r4ss alternatives in Analytics are ranked by recent ship velocity. Browse the "r4ss alternatives" section above for the current picks, or visit /alternatives/r4ss for the full list with editorial commentary on each.