paleobuddy
paleobuddy can now simulate trait-dependent diversification, not just birth-death.
A side-by-side editorial comparison of geos and rjdqa — 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.
rjdqa keeps refining one screen: the seasonal adjustment quality dashboard
rjdqa builds quality assessment dashboards for seasonal adjustment models produced by JDemetra+, aimed at official statisticians reviewing adjusted series. Essentially all development goes into two functions, simple_dashboard() and its denser variant simple_dashboard2(). Version 0.1.6 adds parameters to append observations to the forecast and to control whether the residual trading-days test is printed, defaulting to monthly series only, plus outlier table layout work and user-defined calendar regressor support in sc_dashboard().
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.
rjdqa builds quality assessment dashboards for seasonal adjustment models produced by JDemetra+, aimed at official statisticians reviewing adjusted series. Essentially all development goes into two functions, simple_dashboard() and its denser variant simple_dashboard2(). Version 0.1.6 adds parameters to append observations to the forecast and to control whether the residual trading-days test is printed, defaulting to monthly series only, plus outlier table layout work and user-defined calendar regressor support in sc_dashboard().
The package has converged on a single deliverable and is tuning it against reviewer practice. Each release adds a parameter that lets the analyst include or exclude one element of the dashboard, or adjusts how densely information is packed into the fixed space of the layout. The td_effect default — print the test only for monthly series — is characteristic: the knowledge about when a diagnostic is meaningful is being encoded into the tool rather than left to the reader.
The pattern of adding one toggle per diagnostic per release points at the same thing again, most likely another test given a conditional default, rather than a new dashboard function alongside the two that exist.
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 rjdqa.
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.
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. geos and rjdqa 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 rjdqa 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 rjdqa alternatives in Analytics are ranked by recent ship velocity. Browse the "rjdqa alternatives" section above for the current picks, or visit /alternatives/rjdqa-r for the full list with editorial commentary on each.