← Back to home
Comparison · Analytics

paleobuddy vs timeplyr

A side-by-side editorial comparison of paleobuddy and timeplyr — release velocity, themes, recent moves, and the top alternatives to consider.

paleobuddy vs timeplyr: at a glance

Featurepaleobuddytimeplyr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesphylogenetics, diversification, fossil-record, simulationtime-series, r, dplyr, data.table
Last editorial update1h ago3h ago
WebsiteVisit →Visit →

What is paleobuddy?

paleobuddy can now simulate trait-dependent diversification, not just birth-death.

paleobuddy simulates diversification, fossil records and phylogenetic trees, with rates that can be arbitrary functions of time — its founding idea, implemented through rexp.var() generalizing exponential and Weibull draws. The 1.1.0 release adds state-dependent speciation and extinction simulation at roughly MuHiSSE generality, and lets simulations stop at a target number of extant species instead of conditioning on time.

Read the full paleobuddy trajectory →

What is timeplyr?

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.

Read the full timeplyr trajectory →

paleobuddy vs timeplyr: editorial side-by-side

P
paleobuddy
ANALYTICS
0.0

paleobuddy can now simulate trait-dependent diversification, not just birth-death.

◆ Current state

paleobuddy simulates diversification, fossil records and phylogenetic trees, with rates that can be arbitrary functions of time — its founding idea, implemented through rexp.var() generalizing exponential and Weibull draws. The 1.1.0 release adds state-dependent speciation and extinction simulation at roughly MuHiSSE generality, and lets simulations stop at a target number of extant species instead of conditioning on time.

◆ Where it's heading

Releases track the maintainer's publications rather than a product cadence — 1.0.0 accompanied the MEE manuscript, 1.0.0.1 exists purely as a Zenodo citation anchor, and 1.1.0 is stated as going with a paper on SSE model accuracy for trees including fossil data. That framing sets the direction: the package grows whichever capability the next study needs to test. The stated SSE limits, no quantitative traits and no cladogenetic transitions, mark exactly where that boundary currently sits.

◆ Prediction

Quantitative traits and cladogenetic transitions are named as missing, which makes them the obvious next targets, though on this history the timing will follow a paper rather than a roadmap.

T
timeplyr
ANALYTICS
0.0

timeplyr cut everything that wasn't time, then rebuilt intervals as fixed-width vectors.

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

Alternatives to paleobuddy and timeplyr

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 paleobuddy or timeplyr.

See all paleobuddy alternatives → · See all timeplyr alternatives →

Recent activity from paleobuddy and timeplyr

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 4mo agotimeplyrLeap-day and time_complete(.by=) bug fixes
  2. 10mo agotimeplyrtime_breakpoints added; rolling calcs realigned to data.table
  3. 1y agopaleobuddypaleobuddy 1.1.0 adds SSE trait-dependent simulation
  4. 1y agotimeplyrFixed-width time intervals; non-time functions removed
  5. 1y agotimeplyrtime_intervals on by default; year_month/year_quarter ggplot2 scales
  6. 2y agotimeplyrRegression fixes after the 0.8.0 refactor
  7. 2y agotimeplyrC++ layer moved to cheapr; time_interval class introduced
  8. 3y agopaleobuddypaleobuddy 1.0.0.1: Zenodo citation release
  9. 4y agopaleobuddypaleobuddy 1.0.0: first release with time-varying rates

Frequently asked questions

What is the difference between paleobuddy and timeplyr?

They serve adjacent needs but don't currently overlap on shipped themes. paleobuddy 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.

Is paleobuddy better than timeplyr?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. paleobuddy 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.

What are the best alternatives to paleobuddy?

Top paleobuddy alternatives in Analytics are ranked by recent ship velocity. Browse the "paleobuddy alternatives" section above for the current picks, or visit /alternatives/paleobuddy for the full list with editorial commentary on each.

What are the best alternatives to timeplyr?

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.