HydroPortailStats
France's national flood statistics, ported out of Fortran and into R.
A side-by-side editorial comparison of Apache CloudStack and ggdist — release velocity, themes, recent moves, and the top alternatives to consider.
CloudStack's feed shows two LTS branches maintained in parallel and little else
The visible activity on Apache CloudStack is branch maintenance across two long-term-support lines, 4.20 and 4.22. The newest tag, 4.20.3.1, carries no release notes at all — just a line stating it was tagged on a fixes branch. The most informative recent entry remains 4.22.0.1, a security release fixing seven CVEs, several of them access-control failures around backups.
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.
The visible activity on Apache CloudStack is branch maintenance across two long-term-support lines, 4.20 and 4.22. The newest tag, 4.20.3.1, carries no release notes at all — just a line stating it was tagged on a fixes branch. The most informative recent entry remains 4.22.0.1, a security release fixing seven CVEs, several of them access-control failures around backups.
This feed publishes tags, not changelogs: every maintenance release points at external documentation rather than listing what changed, so direction has to be inferred from version numbers and the occasional security advisory. What can be read from it is a steady dual-branch cadence, with 4.20 and 4.22 receiving parallel maintenance and 4.22 carrying the newer feature work. The one substantive disclosure in this window, the CVE batch, clustered around backup and template permissions.
The dual-branch maintenance pattern should continue, though the feed itself will not reveal feature direction unless a security advisory forces detail into it.
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.
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 Apache CloudStack or ggdist.
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 Apache CloudStack alternatives → · See all ggdist alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Apache CloudStack is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. 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. Apache CloudStack is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
Top Apache CloudStack alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Apache CloudStack alternatives" section above for the current picks, or visit /alternatives/cloudstack for the full list with editorial commentary on each.
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.