paleobuddy
paleobuddy can now simulate trait-dependent diversification, not just birth-death.
A side-by-side editorial comparison of parallelDist and timeplyr — release velocity, themes, recent moves, and the top alternatives to consider.
parallelDist is in pure preservation mode — one build fix every few years.
parallelDist computes distance matrices across threads in C++ via RcppParallel and Armadillo. The feature set has been settled since 0.2.3 in 2018, which added hamming distance and cosine similarity; everything after that is compatibility work. The most recent release, 0.2.7, exists only to drop a C++11 pin that newer Armadillo versions no longer tolerate.
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.
parallelDist computes distance matrices across threads in C++ via RcppParallel and Armadillo. The feature set has been settled since 0.2.3 in 2018, which added hamming distance and cosine similarity; everything after that is compatibility work. The most recent release, 0.2.7, exists only to drop a C++11 pin that newer Armadillo versions no longer tolerate.
The package is being kept installable, not developed. The three most recent releases are a toolchain pin removal, a DESCRIPTION field removal, and a coercion change inherited from proxy — none originate from user-facing intent. Gaps of three to four years between releases are the norm now, and each one is triggered by something upstream breaking rather than by a roadmap.
The next release will almost certainly be another compatibility fix timed to whatever Armadillo, Rcpp or CRAN check policy changes next. Nothing in the entries points to new distance measures or API work.
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 parallelDist 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 parallelDist 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. parallelDist 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. parallelDist 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 parallelDist alternatives in Analytics are ranked by recent ship velocity. Browse the "parallelDist alternatives" section above for the current picks, or visit /alternatives/paralleldist 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.