qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
A side-by-side editorial comparison of cholera and gtfstools — release velocity, themes, recent moves, and the top alternatives to consider.
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.
gtfstools stopped guarding its own object model and started accepting everyone else's.
gtfstools reads, edits, filters and validates GTFS public transport feeds in R on a data.table backend. Since 1.3.0 it accepts GTFS objects produced by other packages such as gtfsio and tidytransit, converting them through an as_dt_gtfs() generic. Validation runs MobilityData's canonical validator, now supported through v6.0.0.
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.
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.
Remaining non-georeferenced pieces and the archived latlong prototypes are the obvious next targets, alongside continued consolidation of the add*()/plot*() function pairs.
gtfstools reads, edits, filters and validates GTFS public transport feeds in R on a data.table backend. Since 1.3.0 it accepts GTFS objects produced by other packages such as gtfsio and tidytransit, converting them through an as_dt_gtfs() generic. Validation runs MobilityData's canonical validator, now supported through v6.0.0.
The package built out a wide function surface first — filters, geometry conversion, speed and duration calculations — then turned outward. Delegating validation to MobilityData's validator and accepting other packages' objects both trade self-sufficiency for a position inside the wider GTFS ecosystem. Deprecations are handled slowly, with old behaviour left as the default for a release or more.
Expect continued validator version tracking and further completion of the deprecation cycle around filter_by_stop_id()'s full_trips behaviour.
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 gtfstools.
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
The R client for AusTraits spends its releases chasing the dataset it reads.
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
A fossil-record simulator that quietly grew a trait-evolution engine.
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
See all cholera alternatives → · See all gtfstools alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — geospatial, r-package — within Analytics. cholera and gtfstools 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. cholera and gtfstools 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.
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.
Top gtfstools alternatives in Analytics are ranked by recent ship velocity. Browse the "gtfstools alternatives" section above for the current picks, or visit /alternatives/gtfstools-r for the full list with editorial commentary on each.