qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
Comparison · Analytics
filearray vs ggmagnify
A side-by-side editorial comparison of filearray and ggmagnify — release velocity, themes, recent moves, and the top alternatives to consider.
filearray vs ggmagnify: at a glance
What is filearray?
The on-disk array layer under RAVE spends its releases hunting segfaults.
filearray stores large arrays on disk and reads them back with little memory overhead, serving as the storage substrate for the RAVE intracranial EEG stack. The 0.2.2 release fixes out-of-bound indexing that caused segfaults along certain margins and an ASAN-flagged signed integer overflow in the load path. The user-facing API has been stable since 0.1.6.
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.
filearray vs ggmagnify: editorial side-by-side
filearray
0.0ANALYTICS
The on-disk array layer under RAVE spends its releases hunting segfaults.
◆ Current state
filearray stores large arrays on disk and reads them back with little memory overhead, serving as the storage substrate for the RAVE intracranial EEG stack. The 0.2.2 release fixes out-of-bound indexing that caused segfaults along certain margins and an ASAN-flagged signed integer overflow in the load path. The user-facing API has been stable since 0.1.6.
◆ Where it's heading
This is infrastructure whose release history reads as a memory-safety log: unprotected C++ variables, buffer sizes exceeding array length, allocations one byte short, endianness on big-endian platforms, and now out-of-bound margins caught by sanitizers. The one sustained feature direction is reducing the cost of operating on arrays too large for memory — lazy operator evaluation through a proxy class, fmap-style application, and marginal collapse. Portability work has steadily removed hard requirements, dropping the C++11 declaration and swapping OpenMP for TinyThreads to get parallelism on macOS.
◆ Prediction
Expect continued sanitizer-driven patches rather than new interfaces; the three-year gap before 0.2.2 suggests releases now arrive only when a crash or a CRAN check demands one.
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 filearray 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 filearray 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 filearray alternatives → · See all ggmagnify alternatives →
Recent activity from filearray and ggmagnify
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2mo agofilearraySegfault on out-of-bound margins fixed
- 2y agoggmagnifyFixes inset theme override on supplied plots
- 2y agoggmagnifyAdds fill between projection lines
- 2y agoggmagnifyAdds corner radius for target and inset
- 3y agofilearrayLazy operator evaluation and macOS parallelism
- 3y agofilearraySequential read bug in fmap corrected
- 4y agofilearrayPartition limit removed by opening files on demand
- 4y agofilearrayHeader signatures and symbolic link detection
- 4y agofilearrayFlush timing left to the operating system
Frequently asked questions
What is the difference between filearray and ggmagnify?
They serve adjacent needs but don't currently overlap on shipped themes. filearray 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 filearray better than ggmagnify?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. filearray 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 filearray?
Top filearray alternatives in Analytics are ranked by recent ship velocity. Browse the "filearray alternatives" section above for the current picks, or visit /alternatives/filearray-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.