qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
Comparison · Analytics
ArchR vs ggmagnify
A side-by-side editorial comparison of ArchR and ggmagnify — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
ArchR vs ggmagnify: at a glance
What is ArchR?
ArchR returns after three years, mostly to catch up with the ecosystem around it.
ArchR analyses single-cell chromatin accessibility data, and until early 2025 its last release was from 2022. Release 1.0.3 collects roughly three years of accumulated pull requests: ggplot2 3.5 compatibility, Seurat v5 object creation, large-matrix handling via ARMA_64BIT_WORD, trajectory and module-score work, and a published Docker image. The release candidate before it did nothing but lift a 500 MB import ceiling.
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.
ArchR vs ggmagnify: editorial side-by-side
ArchR
0.0ANALYTICS
ArchR returns after three years, mostly to catch up with the ecosystem around it.
◆ Current state
ArchR analyses single-cell chromatin accessibility data, and until early 2025 its last release was from 2022. Release 1.0.3 collects roughly three years of accumulated pull requests: ggplot2 3.5 compatibility, Seurat v5 object creation, large-matrix handling via ARMA_64BIT_WORD, trajectory and module-score work, and a published Docker image. The release candidate before it did nothing but lift a 500 MB import ceiling.
◆ Where it's heading
This is a maintenance restart rather than a new direction. The contributor list shifts visibly from the original authors toward newer maintainers handling compatibility work, and the Docker image suggests an acknowledgement that reproducing the environment had become the harder problem. Whether the cadence recovers is not something these entries answer.
◆ Prediction
The entries do not support a confident call on future direction; the immediate question is whether releases resume at a normal interval or 1.0.3 was a one-off catch-up.
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 ArchR 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 ArchR 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 ArchR alternatives → · See all ggmagnify alternatives →
Recent activity from ArchR and ggmagnify
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1y agoArchRThree years of fixes, Seurat v5 support and a Docker image
- 1y agoArchRRelease candidate lifting the 500 MB S4 import limit
- 2y agoggmagnifyFixes inset theme override on supplied plots
- 2y agoggmagnifyAdds fill between projection lines
- 2y agoggmagnifyAdds corner radius for target and inset
- 4y agoArchRStability fixes and improved multiome import
- 5y agoArchRIntroduces multi-omic functionality
Frequently asked questions
What is the difference between ArchR and ggmagnify?
Both compete on the same themes — r-package — within Analytics. ArchR 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 ArchR better than ggmagnify?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ArchR 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 ArchR?
Top ArchR alternatives in Analytics are ranked by recent ship velocity. Browse the "ArchR alternatives" section above for the current picks, or visit /alternatives/archr-r 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.