HydroPortailStats
France's national flood statistics, ported out of Fortran and into R.
A side-by-side editorial comparison of ESPHome and ggdist — release velocity, themes, recent moves, and the top alternatives to consider.
ESPHome ships on a calendar, and the August beta train is now four builds deep.
ESPHome runs a monthly release train with a beta series ahead of each version. The 2026.7 line closed out with four patch releases covering sensor correctness and build-system behaviour — a device adoption failure caused by concurrent clone cache resolution, ESP-IDF honouring compile process limits, wider C++ source globbing and a lock on WiFi scan results shared with the captive portal. The 2026.8 cycle is now at its fourth beta, with the substance still behind the beta changelog site rather than in the feed.
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.
ESPHome runs a monthly release train with a beta series ahead of each version. The 2026.7 line closed out with four patch releases covering sensor correctness and build-system behaviour — a device adoption failure caused by concurrent clone cache resolution, ESP-IDF honouring compile process limits, wider C++ source globbing and a lock on WiFi scan results shared with the captive portal. The 2026.8 cycle is now at its fourth beta, with the substance still behind the beta changelog site rather than in the feed.
The cadence is the product. Betas arrive every day or two as bump merges carrying no notes, the final release points at a changelog URL, and the real detail lands in the patch releases that follow it. That makes the feed a poor guide to what actually changed in any given month — the 2026.7 patches are the only entries here with readable content, and they are dominated by per-component fixes from a wide set of outside contributors plus automated dependency and device-builder bumps.
Expect 2026.8.0 to go final within days of the beta series ending, followed by the usual run of patch releases carrying the per-component fixes that the beta entries never described.
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 ESPHome 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 ESPHome 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. ESPHome 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. ESPHome 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 ESPHome alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ESPHome alternatives" section above for the current picks, or visit /alternatives/esphome 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.