HydroPortailStats
France's national flood statistics, ported out of Fortran and into R.
A side-by-side editorial comparison of ggdist and Infisical — 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.
Infisical's release notes now read like a certificate authority's, not a secrets store's.
Infisical ships roughly twice a week, and the bulk of each release is now PKI and PAM work rather than secret storage. The latest version adds KMIP automatic certificate renewal alongside a continuing migration of the console to a third-generation component set. Secret management itself appears mostly as plumbing changes: a revised validation API contract, folder-creation locking moved to Redis, and the removal of the legacy environment dashboard.
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.
Infisical ships roughly twice a week, and the bulk of each release is now PKI and PAM work rather than secret storage. The latest version adds KMIP automatic certificate renewal alongside a continuing migration of the console to a third-generation component set. Secret management itself appears mostly as plumbing changes: a revised validation API contract, folder-creation locking moved to Redis, and the removal of the legacy environment dashboard.
Infisical is assembling a credential platform rather than a secrets store, and it is doing so without a single headline release — each pillar arrives as two or three PRs per version. PKI is furthest along: after external AWS authorities, Intune enrollment and Nutanix sync, KMIP auto-renewal closes the loop on unattended certificate lifecycle. The v3 console migration is now touching the shared shell — page headers, dynamic-secret provider forms — which usually signals the old UI is being retired rather than patched.
Expect the v3 migration to finish sweeping the remaining project settings surfaces, and PAM to keep collecting account types the way PKI collected sync destinations. Whether the agent proxy graduates from telemetry and templates into a launched product is the open question these notes do not answer.
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 Infisical.
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 Infisical alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Infisical is currently shipping more aggressively (velocity 5.0 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. Infisical is currently shipping more aggressively (velocity 5.0 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 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 Infisical alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Infisical alternatives" section above for the current picks, or visit /alternatives/infisical for the full list with editorial commentary on each.