HydroPortailStats
France's national flood statistics, ported out of Fortran and into R.
A side-by-side editorial comparison of ggdist and IsoriX — release velocity, themes, recent moves, and the top alternatives to consider.
The grammar of uncertainty visualization, now drawing the uncertainty in its own estimates.
ggdist supplies ggplot2 with a compositional vocabulary for distributions — slabs, intervals, dotplots and the sub-geometries that combine them. The last three years moved it from a drawing library to an estimation library: bounded density estimation with Sheather-Jones bandwidth became the default, weights propagate through every density, interval and point summary, and blurred dotplots render Monte Carlo standard error as visual fuzz. The 2025 release rounds this out with per-geometry thickness subscales and settable global defaults.
An isotope geolocation package still recovering from the r-spatial retirement
IsoriX builds isoscapes and assigns organisms to geographic origin from stable isotope data. Its recent history is defined by the October 2023 retirement of the old R spatial stack: version 0.9.1 recoded substantial parts of the package to drop raster and sp, 0.9.2 restored capabilities that migration had broken - saving and reloading IsoriX objects, and plotting ocean masks containing holes - and documented the new plotting calls that replace the old sp.polygons and sp.points idioms. Since then 0.9.3 revised the bundled bat calibration datasets and 0.9.4 moved the documentation off bookdown.org.
ggdist supplies ggplot2 with a compositional vocabulary for distributions — slabs, intervals, dotplots and the sub-geometries that combine them. The last three years moved it from a drawing library to an estimation library: bounded density estimation with Sheather-Jones bandwidth became the default, weights propagate through every density, interval and point summary, and blurred dotplots render Monte Carlo standard error as visual fuzz. The 2025 release rounds this out with per-geometry thickness subscales and settable global defaults.
Two threads run in parallel and keep converging. One is statistical: pluggable density estimators arrived first, then became the default, then gained weights and quantile histograms. The other is compositional: sub-geometries acquired their own guides, then their own scales, so a slab's thickness axis is now a first-class annotated dimension. Cadence has stretched from twice-yearly to roughly annual, with the recent work tightening existing surface rather than opening new.
Subguides gained subscales a release later, so the remaining asymmetry is in the sub-geometry system rather than the statistics; expect the next release to continue that fill-in work.
IsoriX builds isoscapes and assigns organisms to geographic origin from stable isotope data. Its recent history is defined by the October 2023 retirement of the old R spatial stack: version 0.9.1 recoded substantial parts of the package to drop raster and sp, 0.9.2 restored capabilities that migration had broken - saving and reloading IsoriX objects, and plotting ocean masks containing holes - and documented the new plotting calls that replace the old sp.polygons and sp.points idioms. Since then 0.9.3 revised the bundled bat calibration datasets and 0.9.4 moved the documentation off bookdown.org.
Two years of the visible history have gone on infrastructure the science did not ask for. The 0.9.1 notes are unusually candid, warning users that the surrounding package landscape was still in flux and that incompatibility bugs were likely to keep surfacing, which 0.9.2 then confirmed. Only in 0.9.3 does domain work reappear: the bat fur isotope values in the calibration and assignment datasets were corrected to align with current keratin reference material normalisation, so results computed against the old datasets are not comparable with new ones.
With the spatial migration settled and the documentation rehomed, the next release is more likely to return to isoscape functionality than to infrastructure, though the entries do not name a specific feature.
Other Infra & APIs 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 ggdist or IsoriX.
France's national flood statistics, ported out of Fortran and into R.
Sign, zero and narrative restrictions brought into the bsvars ecosystem.
Fast design-based estimators for experiments, coasting on CRAN patches.
IP address vectors for R that hit 1.0 and then went quiet.
A column-key toolkit for stitching decades of ecological field data into one table.
Microsoft's automated forecasting framework, still mostly a one-maintainer effort.
See all ggdist alternatives → · See all IsoriX alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. ggdist and IsoriX 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. ggdist and IsoriX 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 Infra & APIs products to evaluate alongside.
Top ggdist alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ggdist alternatives" section above for the current picks, or visit /alternatives/ggdist for the full list with editorial commentary on each.
Top IsoriX alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "IsoriX alternatives" section above for the current picks, or visit /alternatives/isorix for the full list with editorial commentary on each.