simlandr
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
A side-by-side editorial comparison of aqp and fastrg — release velocity, themes, recent moves, and the top alternatives to consider.
The 1.x line, tagged retroactively after a decade of SoilProfileCollection redesign.
aqp provides the SoilProfileCollection class and the algorithms built on it for soil profile data, colour, and taxonomy. The most recent tag in this feed is explicitly retroactive: 1.42 was cut in 2025 to mark the last CRAN state before the 2.0 release. Between 2018 and 2021 the class internals were reworked twice, the Munsell colour tooling grew substantially, and data.table replaced reshape underneath the wide-to-long transformations.
A fast random-graph sampler that spent 0.3.1 fixing what its parameters actually mean.
fastRG samples from generalized random dot product graphs — stochastic blockmodels, degree-corrected and overlapping variants, directed and undirected — in time proportional to the number of edges rather than nodes squared, which is what makes large sparse networks tractable. Since 0.3.1 the model is constructed and parameterised in one object, with sampling methods taking that object rather than re-specifying edge distribution at sample time.
aqp provides the SoilProfileCollection class and the algorithms built on it for soil profile data, colour, and taxonomy. The most recent tag in this feed is explicitly retroactive: 1.42 was cut in 2025 to mark the last CRAN state before the 2.0 release. Between 2018 and 2021 the class internals were reworked twice, the Munsell colour tooling grew substantially, and data.table replaced reshape underneath the wide-to-long transformations.
Two threads run through the window. The core object was progressively rebuilt - a new horizon-ID slot in 1.17, then a wave of renames and argument removals in 1.25 that broke code deliberately ahead of 2.0. Alongside it, colour work compounded: mixMunsell, spectral mixing, colour quantiles, a chip-frequency chart, and PMS conversion. Tag order here is not release order, since 1.42 was applied to an older commit.
This feed reads as a closed chapter - further entries on it would be backfill, with active work having moved to the 2.x series.
fastRG samples from generalized random dot product graphs — stochastic blockmodels, degree-corrected and overlapping variants, directed and undirected — in time proportional to the number of edges rather than nodes squared, which is what makes large sparse networks tractable. Since 0.3.1 the model is constructed and parameterised in one object, with sampling methods taking that object rather than re-specifying edge distribution at sample time.
The package's development has been about semantic correctness more than speed. The 0.3.1 release moved edge-distribution arguments to the constructors and reinterpreted the mixing matrix S under Bernoulli parameterisation; 0.3.2 then flipped the meaning of X and Y in directed blockmodels so outgoing and incoming factors match the edge convention, and made block sorting conditional rather than unconditional. Both are corrections to what returned values mean, not to how fast they arrive. The 2025 release is CRAN documentation linking only.
With parameterisation settled and only a documentation release since 2023, the package reads as feature-complete for its sampling families. Nothing in the entries points to additional model types being queued.
Other Analytics 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 aqp or fastrg.
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
SEM reporting helpers converging on APA output, one CRAN resubmission at a time.
A raster-to-terra migration is the only readable change in a feed of merge notes.
A nycflights13 generator whose recent work is all about the data being right.
Conditional density and log-likelihood fill out a vine copula regression package.
A drop-in string API for base R, kept alive by upstream check failures.
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. aqp and fastrg 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. aqp and fastrg 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 Analytics products to evaluate alongside.
Top aqp alternatives in Analytics are ranked by recent ship velocity. Browse the "aqp alternatives" section above for the current picks, or visit /alternatives/aqp for the full list with editorial commentary on each.
Top fastrg alternatives in Analytics are ranked by recent ship velocity. Browse the "fastrg alternatives" section above for the current picks, or visit /alternatives/fastrg for the full list with editorial commentary on each.