finnts
Microsoft's automated forecasting framework, still mostly a one-maintainer effort.
A side-by-side editorial comparison of adjustedCurves and ESPHome — release velocity, themes, recent moves, and the top alternatives to consider.
A survival curve package spending release after release correcting its own estimates
adjustedCurves computes confounder-adjusted survival and cumulative incidence curves across a range of estimators - IPTW, AIPTW, Aalen-Johansen, direct standardisation - with support for multiple imputation and bootstrapping. The recent releases are dominated by corrections to numbers the package already reported. Version 0.11.4 fixed cumulative incidence estimates under method="aalen_johansen" that were being read one time step early, which the maintainer notes could differ substantially when events are few, and added risk and event counts to the ggsurvplot conversion including correctly pooled values under multiple imputation.
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.
adjustedCurves computes confounder-adjusted survival and cumulative incidence curves across a range of estimators - IPTW, AIPTW, Aalen-Johansen, direct standardisation - with support for multiple imputation and bootstrapping. The recent releases are dominated by corrections to numbers the package already reported. Version 0.11.4 fixed cumulative incidence estimates under method="aalen_johansen" that were being read one time step early, which the maintainer notes could differ substantially when events are few, and added risk and event counts to the ggsurvplot conversion including correctly pooled values under multiple imputation.
Multiple imputation is the recurring fault line. The standard error pooling formula was implemented incorrectly until 0.11.2, then fixed again in 0.11.3 for the bootstrapping-plus-imputation combination, and 0.11.4 added the pooled risk table values that had previously been omitted entirely. A separate thread quietly removed capability: tmle and ostmle methods went in 0.10.0, and tmle support was pulled again in 0.11.1 after the concrete package left CRAN. Feature work does happen - risk tables, contrast arguments, the extend_to_last control on IPTW curves - but it is outweighed by correction.
Expect continued estimator-level corrections rather than new methods, and a possible return of tmle support if its upstream dependency returns to CRAN, since the removal was described as temporary.
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.
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 adjustedCurves or ESPHome.
Microsoft's automated forecasting framework, still mostly a one-maintainer effort.
Bayesian luminescence dating that finally replaced its folder-structure input format.
An epidemic-economic model teaching its interventions to react to the outbreak itself.
A parallel-chain helper for bkmr that has settled into pure upkeep.
A cancer driver prioritization package that ships rarely and mostly to stay installable
A meteorology ggplot2 extension where the netCDF reader became the main event
See all adjustedCurves alternatives → · See all ESPHome 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 adjustedCurves alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "adjustedCurves alternatives" section above for the current picks, or visit /alternatives/adjustedcurves for the full list with editorial commentary on each.
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.