qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
Comparison · Analytics
ggmagnify vs netrankr
A side-by-side editorial comparison of ggmagnify and netrankr — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
ggmagnify vs netrankr: 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 netrankr?
A centrality package that absorbed an abandoned neighbour rather than let its functions vanish.
netrankr computes centrality rankings on networks using partial orders rather than committing to a single index, and lets users build their own indices from relational components. The latest release folds in functions from the archived NetSwan package and clears deprecated igraph calls. Earlier work removed the midpoint calculation from rank_intervals, a change the notes themselves flag as possibly breaking.
ggmagnify vs netrankr: 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.
netrankr
0.0ANALYTICS
A centrality package that absorbed an abandoned neighbour rather than let its functions vanish.
◆ Current state
netrankr computes centrality rankings on networks using partial orders rather than committing to a single index, and lets users build their own indices from relational components. The latest release folds in functions from the archived NetSwan package and clears deprecated igraph calls. Earlier work removed the midpoint calculation from rank_intervals, a change the notes themselves flag as possibly breaking.
◆ Where it's heading
Development is sparse and driven by ecosystem pressure — igraph deprecations, CRAN archival of related packages, JOSS submission requirements. The analytic core has been stable since the partial-order framework was established; what changes is the surrounding surface and its compatibility with a moving graph stack. Absorbing NetSwan is the first real expansion in years.
◆ Prediction
Expect further igraph compatibility passes; whether the NetSwan absorption is a one-off rescue or the start of consolidating orphaned network packages is not something these entries settle.
Alternatives to ggmagnify and netrankr
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 netrankr.
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 netrankr alternatives →
Recent activity from ggmagnify and netrankr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1y agonetrankrAbsorbs functions from the archived NetSwan package
- 2y agoggmagnifyFixes inset theme override on supplied plots
- 2y agoggmagnifyAdds fill between projection lines
- 2y agoggmagnifyAdds corner radius for target and inset
- 2y agonetrankrRemoves a platform-specific failing test
- 2y agonetrankrigraph upgrade and a breaking rank_intervals change
- 3y agonetrankrInternal changes for JOSS submission
- 5y agonetrankrHandles unconnected graphs; adds incomparable_pairs()
- 7y agonetrankrFixes index builder; adds weighted adjacency relations
Frequently asked questions
What is the difference between ggmagnify and netrankr?
Both compete on the same themes — r-package — within Analytics. ggmagnify and netrankr 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 netrankr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggmagnify and netrankr 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 netrankr?
Top netrankr alternatives in Analytics are ranked by recent ship velocity. Browse the "netrankr alternatives" section above for the current picks, or visit /alternatives/netrankr-r for the full list with editorial commentary on each.