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EvoPhylo vs timeplyr

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

EvoPhylo vs timeplyr: at a glance

FeatureEvoPhylotimeplyr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesphylogenetics, bayesian-inference, beast2, mrbayestime-series, r, dplyr, data.table
Last editorial update50m ago2h ago
WebsiteVisit →Visit →

What is EvoPhylo?

EvoPhylo added BEAST2 alongside MrBayes, then went quiet for two years.

EvoPhylo handles post-processing for Bayesian evolutionary rate and fossilized birth-death analyses, originally against MrBayes output. The 0.3.2 release added BEAST2 support for both FBD functions and rates analysis, making it usable by labs on either platform. Since then there has been one clock-partition fix and, in August 2025, a release whose notes say only that there are updated functions and bug fixes.

Read the full EvoPhylo 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 →

EvoPhylo vs timeplyr: editorial side-by-side

E
EvoPhylo
ANALYTICS
0.0

EvoPhylo added BEAST2 alongside MrBayes, then went quiet for two years.

◆ Current state

EvoPhylo handles post-processing for Bayesian evolutionary rate and fossilized birth-death analyses, originally against MrBayes output. The 0.3.2 release added BEAST2 support for both FBD functions and rates analysis, making it usable by labs on either platform. Since then there has been one clock-partition fix and, in August 2025, a release whose notes say only that there are updated functions and bug fixes.

◆ Where it's heading

The package's substantive arc ended with the 0.3.2 publication release, which arrived with peer-review revisions and three first-time contributors — the shape of software built to accompany a paper. What follows is thin: a MrBayes plotting correction in 0.3.3, then a two-year gap and a release with no described contents. The August 2025 entry may contain real work, but the notes give a reader nothing to judge.

◆ Prediction

Without release notes on the latest version there is no observable basis for predicting the next move; the two-year gap before it suggests activity tied to specific research needs rather than a maintenance cadence.

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 EvoPhylo 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 EvoPhylo or timeplyr.

See all EvoPhylo alternatives → · See all timeplyr alternatives →

Recent activity from EvoPhylo 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. 11mo agoEvoPhyloEvoPhylo v. 0.3.5
  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 agoEvoPhyloEvoPhylo 0.3.3 fixes back-rate plots for MrBayes
  9. 3y agoEvoPhyloEvoPhylo 0.3.2 adds BEAST2 support for FBD and rates

Frequently asked questions

What is the difference between EvoPhylo and timeplyr?

They serve adjacent needs but don't currently overlap on shipped themes. EvoPhylo 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 EvoPhylo better than timeplyr?

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

Top EvoPhylo alternatives in Analytics are ranked by recent ship velocity. Browse the "EvoPhylo alternatives" section above for the current picks, or visit /alternatives/evophylo 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.