paleobuddy
paleobuddy can now simulate trait-dependent diversification, not just birth-death.
Comparison · Analytics
distributional vs EvoPhylo
A side-by-side editorial comparison of distributional and EvoPhylo — release velocity, themes, recent moves, and the top alternatives to consider.
distributional vs EvoPhylo: at a glance
What is distributional?
distributional taught + and - to work on any pair of distributions, closing the algebra it started with.
The R package providing vectorised distribution objects — the substrate that forecasting and anomaly tooling in the same ecosystem builds on. Cadence has picked up sharply, with four releases in the six months to June 2026 against roughly one a year before that. Two kinds of work alternate: adding distribution families (Dirichlet, Horseshoe, Laplace, multivariate t, g-and-k, the extreme-value pair) and deepening what can be computed generically across all of them.
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.
distributional vs EvoPhylo: editorial side-by-side
distributional
0.0ANALYTICS
distributional taught + and - to work on any pair of distributions, closing the algebra it started with.
◆ Current state
The R package providing vectorised distribution objects — the substrate that forecasting and anomaly tooling in the same ecosystem builds on. Cadence has picked up sharply, with four releases in the six months to June 2026 against roughly one a year before that. Two kinds of work alternate: adding distribution families (Dirichlet, Horseshoe, Laplace, multivariate t, g-and-k, the extreme-value pair) and deepening what can be computed generically across all of them.
◆ Where it's heading
The generic-computation thread is the one that matters and it has been building steadily: a Monte Carlo default method for cdf(), has_symmetry() to let algorithms specialise, hdr() moving to exact results for symmetric distributions and 4096 quantiles elsewhere, open-versus-closed support intervals. Version 0.8.0 is where that thread arrives somewhere — arithmetic on arbitrary distributions, with closed forms used when they exist and numerical convolution when they do not. The package is positioning itself as a computational layer rather than a catalogue, which is consistent with how weird and the forecasting packages consume it.
◆ Prediction
Expect the numerical machinery behind dist_convolved() to be reused for other operators, and more generics like has_symmetry() that let downstream algorithms take exact paths when a distribution supports them.
EvoPhylo
0.0ANALYTICS
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.
Alternatives to distributional and EvoPhylo
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 distributional or EvoPhylo.
geodist
geodist stays dependency-free and fast, and warns you when 'cheap' distances stop being honest.
errors
errors keeps making uncertainty print the way each scientific field expects.
CMAQ
CMAQ went global in v5.5, and has been patching that surface ever since.
enpls
enpls has not changed its statistics since 2016 — only its website, twice.
grex
grex is a lookup table with a version number — it ships when the annotation moves.
See all distributional alternatives → · See all EvoPhylo alternatives →
Recent activity from distributional and EvoPhylo
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agodistributionalConditional S3 registration so the package loads on R before 4.3
- 1mo agodistributionalDistribution arithmetic: FFT convolution behind the + and - operators ⚡
- 2mo agodistributionalVectorised p in quantile() for inflated distributions; open brackets on infinite bounds
- 5mo agodistributionalDirichlet and Horseshoe distributions added
- 7mo agodistributionalhas_symmetry() generic, exact HDRs for symmetric distributions
- 11mo agoEvoPhyloEvoPhylo v. 0.3.5
- 1y agodistributionalMonte Carlo cdf() default method; g-and-k, g-and-h and extreme-value families
- 3y agoEvoPhyloEvoPhylo 0.3.3 fixes back-rate plots for MrBayes
- 3y agoEvoPhyloEvoPhylo 0.3.2 adds BEAST2 support for FBD and rates
Frequently asked questions
What is the difference between distributional and EvoPhylo?
They serve adjacent needs but don't currently overlap on shipped themes. distributional and EvoPhylo 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 distributional better than EvoPhylo?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. distributional and EvoPhylo 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 distributional?
Top distributional alternatives in Analytics are ranked by recent ship velocity. Browse the "distributional alternatives" section above for the current picks, or visit /alternatives/distributional-r for the full list with editorial commentary on each.
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.