qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
Comparison · Analytics
ggmagnify vs r5r
A side-by-side editorial comparison of ggmagnify and r5r — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
ggmagnify vs r5r: 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 r5r?
r5r's jump to JDK 21 fixed Apple Silicon and broke everyone's toolchain at once.
r5r runs Conveyal's R5 routing engine from R for multimodal travel-time matrices, accessibility measures and isochrones. The current line requires JDK 21 and R5 v7.1, stores the engine jar under a managed user directory, and detects when a chosen date has no transit service instead of returning silent nonsense. Isochrones can now be returned as polygons rather than lines.
ggmagnify vs r5r: 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.
r5r
0.0ANALYTICS
r5r's jump to JDK 21 fixed Apple Silicon and broke everyone's toolchain at once.
◆ Current state
r5r runs Conveyal's R5 routing engine from R for multimodal travel-time matrices, accessibility measures and isochrones. The current line requires JDK 21 and R5 v7.1, stores the engine jar under a managed user directory, and detects when a chosen date has no transit service instead of returning silent nonsense. Isochrones can now be returned as polygons rather than lines.
◆ Where it's heading
Development alternates between tracking upstream R5 and smoothing the rough edges its Java dependency creates. The v2.0 release was the pivotal one: raising the JDK floor was a breaking change, but it is what resolved the Mac ARM incompatibility and unblocked users on modern hardware. Since then the work has returned to routing outputs and error handling.
◆ Prediction
Expect further upstream R5 tracking plus incremental isochrone and accessibility options; the JDK floor has just been reset, so another runtime break is unlikely soon.
Alternatives to ggmagnify and r5r
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 r5r.
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 r5r alternatives →
Recent activity from ggmagnify and r5r
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1y agor5rPolygon isochrones and empty-service detection
- 1y agor5rJDK 21 requirement lands, fixing Apple Silicon support ⚡
- 2y agoggmagnifyFixes inset theme override on supplied plots
- 2y agoggmagnifyAdds fill between projection lines
- 2y agoggmagnifyAdds corner radius for target and inset
- 3y agor5rAdds isochrone() with vignettes and FAQ
- 3y agor5rBumps R5 to 6.9 for cropped OSM network fix
Frequently asked questions
What is the difference between ggmagnify and r5r?
Both compete on the same themes — r-package — within Analytics. ggmagnify and r5r 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 r5r?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggmagnify and r5r 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 r5r?
Top r5r alternatives in Analytics are ranked by recent ship velocity. Browse the "r5r alternatives" section above for the current picks, or visit /alternatives/r5r-r for the full list with editorial commentary on each.