incident.io
Nexus does the diagnosis; the agent is now reaching into the status page too.
A side-by-side editorial comparison of sdcHierarchies and tealeaves — release velocity, themes, recent moves, and the top alternatives to consider.
Hierarchy tooling for statistical disclosure control keeps trading R for Rcpp.
sdcHierarchies builds and manipulates the nested code hierarchies that statistical disclosure control depends on. Its release history is dominated by one theme: moving tree work into C++ and reporting the speedup. The March 2026 release adds hier_create_ids() for mapping microdata onto hierarchy levels by integer index, and extends hier_grid() with contributing-cell aggregation.
A leaf-temperature model that finished its job in 2020 and has stayed finished
tealeaves solves for leaf temperature from an energy balance, using explicit units to keep parameters consistent and modelling lower and upper leaf surfaces separately so sensible and latent heat loss are computed for each. The package reached its current form in 2020 across versions 1.0.2 to 1.0.5, which added direct or functional sky temperature, dplyr 1.0.0 compatibility, and fixes to a parameter-crossing bug that the new sky temperature function had introduced. The only release since, v1.0.6 in July 2022, corrects a name in the citation file, stops parallel evaluation in a vignette and fixes README links.
sdcHierarchies builds and manipulates the nested code hierarchies that statistical disclosure control depends on. Its release history is dominated by one theme: moving tree work into C++ and reporting the speedup. The March 2026 release adds hier_create_ids() for mapping microdata onto hierarchy levels by integer index, and extends hier_grid() with contributing-cell aggregation.
Four of the last five releases are performance releases, and each names the specific function that got faster: hier_convert(), then hier_codes(), then the core tree traversal itself. The direction is toward handling hierarchies large enough that the R-level implementation stopped being viable, with the new integer-indexed ID mapping pointing the same way. Feature work rides along with the optimisation rather than driving it.
Expect the remaining R-level tree operations to follow hier_convert() and hier_codes() into Rcpp, and the new hier_grid() arguments to accumulate defaults as the aggregation path gets exercised.
tealeaves solves for leaf temperature from an energy balance, using explicit units to keep parameters consistent and modelling lower and upper leaf surfaces separately so sensible and latent heat loss are computed for each. The package reached its current form in 2020 across versions 1.0.2 to 1.0.5, which added direct or functional sky temperature, dplyr 1.0.0 compatibility, and fixes to a parameter-crossing bug that the new sky temperature function had introduced. The only release since, v1.0.6 in July 2022, corrects a name in the citation file, stops parallel evaluation in a vignette and fixes README links.
This is finished scientific software. The arc runs from a 1.0.0 that already described the full model, through a usability decision in 1.0.1 to accept unitless values and assign units rather than demand them, to a 2020 cluster of compatibility and correctness work around publication. Nothing since has touched the model, and the 2022 release is pure paperwork. Its most instructive entry remains 1.0.5, where a new feature silently produced incorrect parameter crossing and the fix arrived with tests to pin the behaviour.
Expect nothing unless a dependency or CRAN check forces a release; on this record any such release will be documentation and packaging rather than a change to the energy balance.
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 sdcHierarchies or tealeaves.
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See all sdcHierarchies alternatives → · See all tealeaves alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. sdcHierarchies and tealeaves 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. sdcHierarchies and tealeaves 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 sdcHierarchies alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "sdcHierarchies alternatives" section above for the current picks, or visit /alternatives/sdchierarchies for the full list with editorial commentary on each.
Top tealeaves alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "tealeaves alternatives" section above for the current picks, or visit /alternatives/tealeaves for the full list with editorial commentary on each.