qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
Comparison · Analytics
EvoPhylo vs ggmagnify
A side-by-side editorial comparison of EvoPhylo and ggmagnify — release velocity, themes, recent moves, and the top alternatives to consider.
EvoPhylo vs ggmagnify: at a glance
What is EvoPhylo?
EvoPhylo added BEAST2 alongside MrBayes, then went quiet for two years.
EvoPhylo handles post-processing for Bayesian evolutionary rate and fossilized birth-death analyses, originally against MrBayes output. The 0.3.2 release added BEAST2 support for both FBD functions and rates analysis, making it usable by labs on either platform. Since then there has been one clock-partition fix and, in August 2025, a release whose notes say only that there are updated functions and bug fixes.
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.
EvoPhylo vs ggmagnify: editorial side-by-side
EvoPhylo
0.0ANALYTICS
EvoPhylo added BEAST2 alongside MrBayes, then went quiet for two years.
◆ Current state
EvoPhylo handles post-processing for Bayesian evolutionary rate and fossilized birth-death analyses, originally against MrBayes output. The 0.3.2 release added BEAST2 support for both FBD functions and rates analysis, making it usable by labs on either platform. Since then there has been one clock-partition fix and, in August 2025, a release whose notes say only that there are updated functions and bug fixes.
◆ Where it's heading
The package's substantive arc ended with the 0.3.2 publication release, which arrived with peer-review revisions and three first-time contributors — the shape of software built to accompany a paper. What follows is thin: a MrBayes plotting correction in 0.3.3, then a two-year gap and a release with no described contents. The August 2025 entry may contain real work, but the notes give a reader nothing to judge.
◆ Prediction
Without release notes on the latest version there is no observable basis for predicting the next move; the two-year gap before it suggests activity tied to specific research needs rather than a maintenance cadence.
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.
Alternatives to EvoPhylo and ggmagnify
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 EvoPhylo or ggmagnify.
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 EvoPhylo alternatives → · See all ggmagnify alternatives →
Recent activity from EvoPhylo and ggmagnify
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 11mo agoEvoPhyloEvoPhylo v. 0.3.5
- 2y agoggmagnifyFixes inset theme override on supplied plots
- 2y agoggmagnifyAdds fill between projection lines
- 2y agoggmagnifyAdds corner radius for target and inset
- 3y agoEvoPhyloEvoPhylo 0.3.3 fixes back-rate plots for MrBayes
- 3y agoEvoPhyloEvoPhylo 0.3.2 adds BEAST2 support for FBD and rates
Frequently asked questions
What is the difference between EvoPhylo and ggmagnify?
They serve adjacent needs but don't currently overlap on shipped themes. EvoPhylo and ggmagnify 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 EvoPhylo better than ggmagnify?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. EvoPhylo and ggmagnify 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 EvoPhylo?
Top EvoPhylo alternatives in Analytics are ranked by recent ship velocity. Browse the "EvoPhylo alternatives" section above for the current picks, or visit /alternatives/evophylo for the full list with editorial commentary on each.
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.