simlandr
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
A side-by-side editorial comparison of antaresread and kde1d — release velocity, themes, recent moves, and the top alternatives to consider.
The R reader for Antares Simulator studies, pinned to whatever the simulator ships next
antaresRead loads Antares Simulator studies from disk or the Antares Web API into R. Its release history maps one-to-one onto simulator versions: 2.9.2 for Antares 9.2, 2.9.3 for 9.3, and the 3.0.x line for the study-format changes that followed. The recurring work is the converted study version format (9.0 becoming 900) which has now been fixed or re-fixed in three consecutive releases, and 3.1.0 turns that churn into a declared breaking change as Antares Web 2.33.0 introduces yet another numbering scheme.
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.
antaresRead loads Antares Simulator studies from disk or the Antares Web API into R. Its release history maps one-to-one onto simulator versions: 2.9.2 for Antares 9.2, 2.9.3 for 9.3, and the 3.0.x line for the study-format changes that followed. The recurring work is the converted study version format (9.0 becoming 900) which has now been fixed or re-fixed in three consecutive releases, and 3.1.0 turns that churn into a declared breaking change as Antares Web 2.33.0 introduces yet another numbering scheme.
The package is a compatibility layer whose roadmap is set entirely upstream, and version identity is where it keeps getting cut. The same .getSimOptionsAPI() version-format fix appears in 3.0.0, 3.0.1 and again in 3.1.0 — three passes at one problem, which suggests the API and disk representations of a study version have not converged. Alongside that, API-mode work is displacing disk-mode work: dedicated endpoints for output listing, district definitions, per-area output handling.
The next release will most likely track the following Antares Simulator or Antares Web version, and given the 3.1.0 breaking change, a follow-up correcting the new numbering scheme is a reasonable expectation.
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.
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 antaresread or kde1d.
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 antaresread alternatives → · See all kde1d alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. antaresread and kde1d 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. antaresread and kde1d 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 antaresread alternatives in Analytics are ranked by recent ship velocity. Browse the "antaresread alternatives" section above for the current picks, or visit /alternatives/antaresread for the full list with editorial commentary on each.
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.