paleobuddy
paleobuddy can now simulate trait-dependent diversification, not just birth-death.
Comparison · Analytics
treespace vs weird
A side-by-side editorial comparison of treespace and weird — release velocity, themes, recent moves, and the top alternatives to consider.
treespace vs weird: at a glance
What is treespace?
treespace ships once every year or two, and only when CRAN or a user forces it.
treespace explores and compares sets of phylogenetic and transmission trees, including the tree-distance measures used in outbreak reconstruction. Its release history is entirely reactive: five updates across five years, each triggered by a CRAN policy change, an upstream package removal, or a bug someone reported. The most recent is an Rd cross-reference format patch plus a maintainer email change.
What is weird?
weird rebuilt itself on distributional objects, and now the anomaly tooling composes with everything else.
An R package for anomaly detection and unusual-observation diagnostics, at four releases with a long gap between the 2024 patch and the 2026 major line. The current shape is set by 2.0.0, which refactored the package onto distributional objects and renamed its central concept from density_scores() to surprisals(). Since then the work has been filling that structure in: surprisals for more model classes, faster bandwidth and probability calculations, and new visual diagnostics.
treespace vs weird: editorial side-by-side
treespace
0.0ANALYTICS
treespace ships once every year or two, and only when CRAN or a user forces it.
◆ Current state
treespace explores and compares sets of phylogenetic and transmission trees, including the tree-distance measures used in outbreak reconstruction. Its release history is entirely reactive: five updates across five years, each triggered by a CRAN policy change, an upstream package removal, or a bug someone reported. The most recent is an Rd cross-reference format patch plus a maintainer email change.
◆ Where it's heading
The package is stable and lightly staffed rather than abandoned — bugs that affect correctness do get fixed, and CRAN deadlines are met. But the 2023 update is the telling one: rather than vendor or replace adephylo when it faced removal, the maintainers disabled two tree-vector methods and marked the loss as hopefully temporary. Two years on, nothing in the feed indicates they came back.
◆ Prediction
The next entry will most likely be another CRAN-compliance patch, on the pattern of four of the last five releases. Whether the Abouheif and sumDD methods ever return is not something these entries give any signal on.
weird
0.0ANALYTICS
weird rebuilt itself on distributional objects, and now the anomaly tooling composes with everything else.
◆ Current state
An R package for anomaly detection and unusual-observation diagnostics, at four releases with a long gap between the 2024 patch and the 2026 major line. The current shape is set by 2.0.0, which refactored the package onto distributional objects and renamed its central concept from density_scores() to surprisals(). Since then the work has been filling that structure in: surprisals for more model classes, faster bandwidth and probability calculations, and new visual diagnostics.
◆ Where it's heading
The refactor onto a shared distribution representation is the decision everything else follows from. It let 2.1.0 add hdr() and parameters() methods for kde objects rather than bespoke accessors, and it let 3.0.0 bring in dist_mclust() to turn a Gaussian mixture model into the same object type — so a mixture, a kernel density estimate and a fitted distribution all flow through one interface. The 3.0.0 additions lean visual and multivariate: outlier maps plotting score distance against orthogonal distance, biplot projections with variable axes overlaid, and an augment() method for robust PCA objects. Dependencies have been shed steadily along the way — lookout, interpolation — while mvscale() moved out and then back in.
◆ Prediction
Expect surprisals() coverage to keep extending to further model classes, and the multivariate and robust-PCA diagnostics introduced in 3.0.0 to gain the same distributional-object treatment as the univariate side.
Alternatives to treespace and weird
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 treespace or weird.
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 treespace alternatives → · See all weird alternatives →
Recent activity from treespace and weird
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoweirdOutlier maps, biplot projections, and Gaussian mixtures as distributional objects
- 3mo agoweirdsurprisals() reaches glm objects; lookout dependency dropped
- 6mo agoweirdPackage refactored onto distributional objects; density_scores becomes surprisals
- 11mo agotreespacetreespace patches Rd cross-references for CRAN
- 2y agoweirdWine reviews dataset replaced with a fetch function
- 2y agotreespacetreespace disables Abouheif and sumDD as adephylo exits CRAN
- 3y agotreespacetreespace fixes vignette build on NA tree names
- 5y agotreespacetreespace fixes dist indexing that broke its tests
- 5y agotreespacetreespace corrects tip label handling in transmission distances
Frequently asked questions
What is the difference between treespace and weird?
They serve adjacent needs but don't currently overlap on shipped themes. treespace and weird 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 treespace better than weird?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. treespace and weird 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 treespace?
Top treespace alternatives in Analytics are ranked by recent ship velocity. Browse the "treespace alternatives" section above for the current picks, or visit /alternatives/treespace-r for the full list with editorial commentary on each.
What are the best alternatives to weird?
Top weird alternatives in Analytics are ranked by recent ship velocity. Browse the "weird alternatives" section above for the current picks, or visit /alternatives/weird-r for the full list with editorial commentary on each.