simlandr
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
A side-by-side editorial comparison of kde1d and soilDB — release velocity, themes, recent moves, and the top alternatives to consider.
A univariate density estimator that added zero-inflated data and reopened its C++ API to do it.
kde1d estimates univariate densities with local polynomial kernel methods, handling bounded, discrete and now zero-inflated variables through a single type argument, with the numerical work in a header-only C++ library usable outside R. Version 1.1.0 added the zero-inflated discrete-continuous mixture case and shipped a new C++ API as an explicit breaking change; 1.1.1 followed in June with auto-generated notes and no description.
The R front door to USDA soil data finishes a long deprecation cleanup and turns local-first.
soilDB is the R access layer for USDA-NRCS soil data: NASIS local databases, Soil Data Access, SoilWeb coverage services, and a widening set of curated national grids. The 2.9.x line closed out a multi-release deprecation cycle — column aliases and stringsAsFactors are gone, R 4.1 is the floor, and the bundled sample profile collections were rebuilt against the new schema. Recent work has shifted from adding query functions to making existing ones faster and usable against local SQLite or GeoPackage copies.
kde1d estimates univariate densities with local polynomial kernel methods, handling bounded, discrete and now zero-inflated variables through a single type argument, with the numerical work in a header-only C++ library usable outside R. Version 1.1.0 added the zero-inflated discrete-continuous mixture case and shipped a new C++ API as an explicit breaking change; 1.1.1 followed in June with auto-generated notes and no description.
The package has alternated between performance work and widening the class of data it accepts. The 1.0.0 release was the performance milestone — FFT-based estimation, a better integration algorithm for the p, q and r functions, deterministic jittering replacing randomness, and standalone C++ headers. The 1.1.0 release is the scope milestone, adding a third data type to the two it already handled. Releases come from the same maintainer as svines and cluster on shared dates, so changes in the underlying C++ surface across the vine and density stack tend to ship together.
With the C++ API deliberately reworked for standalone use at 1.1.0, further work most plausibly consolidates that interface rather than adding data types. What 1.1.1 actually changed is not readable from its body.
soilDB is the R access layer for USDA-NRCS soil data: NASIS local databases, Soil Data Access, SoilWeb coverage services, and a widening set of curated national grids. The 2.9.x line closed out a multi-release deprecation cycle — column aliases and stringsAsFactors are gone, R 4.1 is the floor, and the bundled sample profile collections were rebuilt against the new schema. Recent work has shifted from adding query functions to making existing ones faster and usable against local SQLite or GeoPackage copies.
The arc points at offline and local-first workflows. downloadSSURGO() and createSSURGO() keep gaining arguments for building and querying local SSURGO databases, and the query internals were rewritten as common table expressions so identical code runs against the remote service or a local file. Coverage is widening in parallel: FY26 SoilWeb maps now reach most OCONUS surveys, while fetchHWSD() and fetchSOLUS() pull in datasets outside the core NASIS/SSURGO pair. Federal URL churn — EDIT, SoilWeb, S3-hosted geometry — is a recurring maintenance tax the package absorbs on users' behalf.
Expect the next releases to keep extending parallel and offline SSURGO handling, since LAPPLY.FUN has just opened the door to arbitrary parallel backends, and to fold more curated SoilWeb and FAO datasets behind fetch* wrappers.
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 kde1d or soilDB.
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.
See all kde1d alternatives → · See all soilDB alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. kde1d and soilDB 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. kde1d and soilDB 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 kde1d alternatives in Analytics are ranked by recent ship velocity. Browse the "kde1d alternatives" section above for the current picks, or visit /alternatives/kde1d for the full list with editorial commentary on each.
Top soilDB alternatives in Analytics are ranked by recent ship velocity. Browse the "soilDB alternatives" section above for the current picks, or visit /alternatives/soildb for the full list with editorial commentary on each.