paleobuddy
paleobuddy can now simulate trait-dependent diversification, not just birth-death.
A side-by-side editorial comparison of geos and seriation — release velocity, themes, recent moves, and the top alternatives to consider.
The thin GEOS binding for R adds terra interop after three years of compiler triage
geos is a low-overhead R binding to the GEOS geometry engine, exposing predicates, overlays and spatial indexes with minimal copying. Version 0.2.5 accepts terra SpatVector objects directly, alongside fixes for zero-length memcpy and plotting of invalid geometries. The releases between 0.2.0 and 0.2.5 contain almost no feature work — they are responses to compiler warnings, sanitiser findings and CRAN check failures.
seriation stopped shipping algorithms and started shipping a way to pick between them.
seriation finds meaningful orderings for matrices, distance objects and dendrograms, and carries a large registry of methods from classic combinatorial criteria to t-SNE and UMAP embeddings. The 1.5.0 release added a layer above that registry — seriate_best(), seriate_rep() and seriate_improve() — which run randomized methods repeatedly, in parallel, and keep the best result. Recent work is definitional and numeric rather than additive: 1.5.8 corrects the linear seriation criterion to match Hubert and Schultz's original 1976 definition.
geos is a low-overhead R binding to the GEOS geometry engine, exposing predicates, overlays and spatial indexes with minimal copying. Version 0.2.5 accepts terra SpatVector objects directly, alongside fixes for zero-length memcpy and plotting of invalid geometries. The releases between 0.2.0 and 0.2.5 contain almost no feature work — they are responses to compiler warnings, sanitiser findings and CRAN check failures.
Feature development stopped after 0.2.0 and the package has since been kept alive against a moving toolchain: strict-prototypes warnings, a clang sanitiser error, format string checks, an M1 test failure. The 0.2.5 terra support breaks that pattern and came from an outside contributor, which suggests the package's direction is now set by what neighbouring spatial packages need from it rather than by GEOS feature coverage.
GEOS has released new capabilities since the 3.11 features wired up in 0.2.0, and none have been exposed since; whether the next release closes that gap or continues as interop-and-maintenance is the open question the history does not yet answer.
seriation finds meaningful orderings for matrices, distance objects and dendrograms, and carries a large registry of methods from classic combinatorial criteria to t-SNE and UMAP embeddings. The 1.5.0 release added a layer above that registry — seriate_best(), seriate_rep() and seriate_improve() — which run randomized methods repeatedly, in parallel, and keep the best result. Recent work is definitional and numeric rather than additive: 1.5.8 corrects the linear seriation criterion to match Hubert and Schultz's original 1976 definition.
The package has shifted from breadth to judgment. Through 1.3.x the additions were new methods; from 1.5.0 the registry started carrying metadata about the methods — whether they are randomized, what criterion they optimize — so the package could choose and evaluate on the user's behalf. The 1.5.6 replacement of FORTRAN with C for BEA and ME points the same way, reducing the legacy surface underneath that machinery.
Further criterion audits are the likeliest next move, since 1.5.8 shows a published definition being reconciled against the implementation and the registry now records what each method optimizes. Expect corrections rather than new seriation algorithms.
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 geos or seriation.
paleobuddy can now simulate trait-dependent diversification, not just birth-death.
geodist stays dependency-free and fast, and warns you when 'cheap' distances stop being honest.
errors keeps making uncertainty print the way each scientific field expects.
CMAQ went global in v5.5, and has been patching that surface ever since.
enpls has not changed its statistics since 2016 — only its website, twice.
grex is a lookup table with a version number — it ships when the annotation moves.
See all geos alternatives → · See all seriation alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. geos and seriation 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. geos and seriation 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 geos alternatives in Analytics are ranked by recent ship velocity. Browse the "geos alternatives" section above for the current picks, or visit /alternatives/geos-r for the full list with editorial commentary on each.
Top seriation alternatives in Analytics are ranked by recent ship velocity. Browse the "seriation alternatives" section above for the current picks, or visit /alternatives/seriation-r for the full list with editorial commentary on each.