qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
Comparison · Analytics
cholera vs ggmagnify
A side-by-side editorial comparison of cholera and ggmagnify — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
cholera vs ggmagnify: at a glance
What is cholera?
John Snow's 1854 cholera map is being rebuilt on real geographic coordinates.
cholera packages the Broad Street cholera outbreak data with tools to recompute pump neighbourhoods by Voronoi and walking distance. The last two releases carried the dataset from Snow's original plate coordinates onto georeferenced longitude and latitude, exposed through a latlong = TRUE argument on most functions. Function naming and plotting APIs are being tidied at the same pace.
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.
cholera vs ggmagnify: editorial side-by-side
cholera
0.0ANALYTICS
John Snow's 1854 cholera map is being rebuilt on real geographic coordinates.
◆ Current state
cholera packages the Broad Street cholera outbreak data with tools to recompute pump neighbourhoods by Voronoi and walking distance. The last two releases carried the dataset from Snow's original plate coordinates onto georeferenced longitude and latitude, exposed through a latlong = TRUE argument on most functions. Function naming and plotting APIs are being tidied at the same pace.
◆ Where it's heading
The direction is clear and sustained: convert a historical, self-referential coordinate system into one that interoperates with modern GIS. Each release extends latlong coverage to more datasets — pumps, roads, landmarks, and now the plague pit and map frame — while archiving the older prototypes. Parallelisation and the walking-distance solver were reworked along the way to keep the heavier computations usable.
◆ Prediction
Remaining non-georeferenced pieces and the archived latlong prototypes are the obvious next targets, alongside continued consolidation of the add*()/plot*() function pairs.
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 cholera 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 cholera 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 cholera alternatives → · See all ggmagnify alternatives →
Recent activity from cholera and ggmagnify
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1y agocholeraGeoreferences the plague pit and road segments
- 1y agocholeraLongitude and latitude support across nearly all data and functions ⚡
- 2y agoggmagnifyFixes inset theme override on supplied plots
- 2y agoggmagnifyAdds fill between projection lines
- 2y agoggmagnifyAdds corner radius for target and inset
- 3y agocholeraFirst longitude/latitude prototypes and new distance functions
- 4y agocholeraAdds streetNames(); fixes Delaunay and pump-token plotting
- 5y agocholeraIsochrone helpers, weather data and Voronoi location options
- 6y agocholeraParallel computation support on Windows
Frequently asked questions
What is the difference between cholera and ggmagnify?
Both compete on the same themes — r-package — within Analytics. cholera 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 cholera better than ggmagnify?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. cholera 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 cholera?
Top cholera alternatives in Analytics are ranked by recent ship velocity. Browse the "cholera alternatives" section above for the current picks, or visit /alternatives/cholera-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.