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errors vs EvoPhylo

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

errors vs EvoPhylo: at a glance

FeatureerrorsEvoPhylo
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesuncertainty-propagation, measurement, r-quantities, formattingphylogenetics, bayesian-inference, beast2, mrbayes
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is errors?

errors keeps making uncertainty print the way each scientific field expects.

errors attaches uncertainty to numeric vectors and propagates it automatically through arithmetic, as part of the r-quantities family alongside units. The propagation core is settled; recent releases concentrate on presentation and integration — PDG rounding rules in 0.4.2, decimal support in parenthesis notation in 0.4.3, and ggplot2 deprecation tracking in 0.4.1 and 0.4.4.

Read the full errors trajectory →

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 →

errors vs EvoPhylo: editorial side-by-side

E
errors
ANALYTICS
0.0

errors keeps making uncertainty print the way each scientific field expects.

◆ Current state

errors attaches uncertainty to numeric vectors and propagates it automatically through arithmetic, as part of the r-quantities family alongside units. The propagation core is settled; recent releases concentrate on presentation and integration — PDG rounding rules in 0.4.2, decimal support in parenthesis notation in 0.4.3, and ggplot2 deprecation tracking in 0.4.1 and 0.4.4.

◆ Where it's heading

Two threads run through this history. One is formatting convergence: uncertainty has field-specific conventions, and the package has been absorbing them one contributed pull request at a time rather than imposing a single style. The other is keeping the errors class first-class everywhere R users work — vctrs methods for dplyr 1.0, a geom_errors() layer for ggplot2, missing-value and duplicate handling. Both are integration work, which is what a type-extension package mostly is.

◆ Prediction

Expect further formatting conventions to arrive as contributions, following PDG rounding and the decimals option, plus continued upkeep against ggplot2 aesthetic deprecations that have forced two of the last four releases.

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.

Alternatives to errors 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 errors or EvoPhylo.

See all errors alternatives → · See all EvoPhylo alternatives →

Recent activity from errors and EvoPhylo

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

  1. 11mo agoEvoPhyloEvoPhylo v. 0.3.5
  2. 1y agoerrorserrors 0.4.4 replaces deprecated geom_errorbarh()
  3. 1y agoerrorserrors 0.4.3 supports decimals in parenthesis notation
  4. 2y agoerrorserrors 0.4.2 adds PDG rounding rules
  5. 2y agoerrorserrors 0.4.1 handles missing values, fixes na.rm
  6. 3y agoEvoPhyloEvoPhylo 0.3.3 fixes back-rate plots for MrBayes
  7. 3y agoEvoPhyloEvoPhylo 0.3.2 adds BEAST2 support for FBD and rates
  8. 3y agoerrorserrors 0.4.0 adds geom_errors() for automatic errorbars
  9. 5y agoerrorserrors 0.3.6

Frequently asked questions

What is the difference between errors and EvoPhylo?

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

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

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