simlandr
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
A side-by-side editorial comparison of eulerr and kde1d — release velocity, themes, recent moves, and the top alternatives to consider.
The area-proportional Euler diagram package is finished software, and maintained like it.
eulerr generates area-proportional Euler and Venn diagrams by numerically optimizing shape positions and sizes to match set relationships, with the fitting done in C++. The last feature release was 7.0.0 in December 2022, which made the optimization's loss function user-selectable. Everything since has been maintenance: documentation URL corrections, a strip-layout fix when grouping, an Armadillo deprecation, and an R CMD check warning about an unignored config file.
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.
eulerr generates area-proportional Euler and Venn diagrams by numerically optimizing shape positions and sizes to match set relationships, with the fitting done in C++. The last feature release was 7.0.0 in December 2022, which made the optimization's loss function user-selectable. Everything since has been maintenance: documentation URL corrections, a strip-layout fix when grouping, an Armadillo deprecation, and an R CMD check warning about an unignored config file.
This is a mature package whose problem is solved, and the release pattern reflects that — three of the last four releases changed nothing a user would see. What activity remains is tracking its dependencies rather than its own roadmap: keeping up with Armadillo's deprecations and R CMD check policy is the whole of recent work. The two September 2025 releases an hour apart are a fix and its follow-up, not a development cycle restarting.
The pattern points to continued upkeep triggered by upstream C++ and CRAN check changes rather than new capability. If anything does move, the configurable loss function added in 7.0.0 is the surface with room left in 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 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 eulerr 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 eulerr 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. eulerr 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. eulerr 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 eulerr alternatives in Analytics are ranked by recent ship velocity. Browse the "eulerr alternatives" section above for the current picks, or visit /alternatives/eulerr 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.