paleobuddy
paleobuddy can now simulate trait-dependent diversification, not just birth-death.
A side-by-side editorial comparison of Rpath and timeplyr — release velocity, themes, recent moves, and the top alternatives to consider.
Rpath 1.1.0 learns to read Ecopath's own files, easing migration off the desktop tool.
Rpath is NOAA's R implementation of the Ecopath with Ecosim mass-balance equations for marine food web models. The feed is an archive backfill and arrives out of version order, with several entries carrying only a journal abstract instead of release notes. The substantive recent work is 1.0.0, which paired real ecosim bug fixes with the documentation and packaging expected of a 1.0, and 1.1.0, which adds .eiixml import and new balance estimation.
timeplyr cut everything that wasn't time, then rebuilt intervals as fixed-width vectors.
timeplyr is a time-aware companion to dplyr and data.table, built around a fixed-width time_interval vector class. The 1.0.0 rewrite removed most non-time functions and pushed the C++ layer out into the separate cheapr package, leaving a narrower surface than the 0.8.x line. Releases since have been small: one feature batch in 1.1.1 and a pair of bug fixes in 1.1.2.
Rpath is NOAA's R implementation of the Ecopath with Ecosim mass-balance equations for marine food web models. The feed is an archive backfill and arrives out of version order, with several entries carrying only a journal abstract instead of release notes. The substantive recent work is 1.0.0, which paired real ecosim bug fixes with the documentation and packaging expected of a 1.0, and 1.1.0, which adds .eiixml import and new balance estimation.
Development is moving from a faithful reimplementation of published equations toward a tool that can take over an existing modeling practice. Importing .eiixml files means models authored in the EwE desktop software no longer have to be rebuilt by hand, and the balance work reduces how many parameters a modeler must supply up front. The 1.0.0 release's contributor guidelines, issue templates and per-function examples point the same direction: preparing for users the maintainers do not personally know.
The next releases will likely widen the import path and tighten balance diagnostics, since 1.1.0 already spent effort on error messages for models missing parameters — the failure mode imported models will hit most.
timeplyr is a time-aware companion to dplyr and data.table, built around a fixed-width time_interval vector class. The 1.0.0 rewrite removed most non-time functions and pushed the C++ layer out into the separate cheapr package, leaving a narrower surface than the 0.8.x line. Releases since have been small: one feature batch in 1.1.1 and a pair of bug fixes in 1.1.2.
The arc is consolidation, not expansion. Each release since 1.0.0 trims arguments, renames functions toward a single vocabulary (width, timespan, grid), or fixes an interaction with data.table's own rolling functions. The package increasingly acts as a thin time layer over cheapr and data.table rather than carrying its own implementation.
Expect continued small releases tracking cheapr and data.table changes rather than new function families; the entries show no in-progress feature work beyond the ggplot2-friendly breakpoint helpers introduced in 1.1.1.
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 Rpath or timeplyr.
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 Rpath alternatives → · See all timeplyr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Rpath and timeplyr 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. Rpath and timeplyr 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 Rpath alternatives in Analytics are ranked by recent ship velocity. Browse the "Rpath alternatives" section above for the current picks, or visit /alternatives/rpath-r for the full list with editorial commentary on each.
Top timeplyr alternatives in Analytics are ranked by recent ship velocity. Browse the "timeplyr alternatives" section above for the current picks, or visit /alternatives/timeplyr for the full list with editorial commentary on each.