qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
Comparison · Analytics
ggmagnify vs gwasvcf
A side-by-side editorial comparison of ggmagnify and gwasvcf — release velocity, themes, recent moves, and the top alternatives to consider.
ggmagnify vs gwasvcf: 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 gwasvcf?
gwasvcf has stopped adding features and now just keeps proxy matching from failing.
gwasvcf reads and queries GWAS summary statistics stored as VCF, with LD proxy lookup as its most-used entry point. Every release in the visible window is a fix, and all but one land in or around proxy_match(). The last functional addition was gwasvcf_to_summaryset() in 0.1.2, which hands data to gwasglue2 rather than doing new work here.
ggmagnify vs gwasvcf: 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.
gwasvcf
0.0ANALYTICS
gwasvcf has stopped adding features and now just keeps proxy matching from failing.
◆ Current state
gwasvcf reads and queries GWAS summary statistics stored as VCF, with LD proxy lookup as its most-used entry point. Every release in the visible window is a fix, and all but one land in or around proxy_match(). The last functional addition was gwasvcf_to_summaryset() in 0.1.2, which hands data to gwasglue2 rather than doing new work here.
◆ Where it's heading
The package is in custodial maintenance inside the MRC IEU OpenGWAS stack, and its releases are reactive: each one answers a specific user-reported failure, credited to the reporter. The 0.1.6 pattern is telling — rather than replace the proxy VCF construction, it keeps the original path and adds a fallback only for inputs that fail, so existing results are left bit-for-bit unchanged.
◆ Prediction
Expect further narrow robustness fixes to proxy_match() driven by user-reported VCF shapes; nothing in the entries suggests new analysis capability is being built here rather than in gwasglue2.
Alternatives to ggmagnify and gwasvcf
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 gwasvcf.
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 gwasvcf alternatives →
Recent activity from ggmagnify and gwasvcf
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 5mo agogwasvcfproxy_match() gains a fallback VCF construction path
- 8mo agogwasvcfproxy_match() handles multi-sample VCFs
- 1y agogwasvcfsqlite3 declared in SystemRequirements
- 1y agogwasvcfMessage fix in get_ld_proxies()
- 2y agoggmagnifyFixes inset theme override on supplied plots
- 2y agoggmagnifyAdds fill between projection lines
- 2y agoggmagnifyAdds corner radius for target and inset
- 2y agogwasvcfgwasvcf_to_summaryset() bridges to gwasglue2
Frequently asked questions
What is the difference between ggmagnify and gwasvcf?
They serve adjacent needs but don't currently overlap on shipped themes. ggmagnify and gwasvcf 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 gwasvcf?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggmagnify and gwasvcf 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 gwasvcf?
Top gwasvcf alternatives in Analytics are ranked by recent ship velocity. Browse the "gwasvcf alternatives" section above for the current picks, or visit /alternatives/gwasvcf for the full list with editorial commentary on each.