paleobuddy
paleobuddy can now simulate trait-dependent diversification, not just birth-death.
Comparison · Analytics
cairo vs weird
A side-by-side editorial comparison of cairo and weird — release velocity, themes, recent moves, and the top alternatives to consider.
cairo vs weird: at a glance
What is cairo?
Cairo finally catches R's graphics engine, all the way to GE API 16.
Cairo is the R device that renders plots through the cairo library, and until 1.7-0 it lagged R's own graphics engine by several API generations. That release closes the gap to GE API 16 (R 4.5.0), adding fill patterns, masks and groups. The releases before it were maintenance: a segfault shim for grid, a bashism removal in configure, and Windows font and build fixes.
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.
cairo vs weird: editorial side-by-side
cairo
0.0ANALYTICS
Cairo finally catches R's graphics engine, all the way to GE API 16.
◆ Current state
Cairo is the R device that renders plots through the cairo library, and until 1.7-0 it lagged R's own graphics engine by several API generations. That release closes the gap to GE API 16 (R 4.5.0), adding fill patterns, masks and groups. The releases before it were maintenance: a segfault shim for grid, a bashism removal in configure, and Windows font and build fixes.
◆ Where it's heading
The arc is catch-up, executed one API generation at a time. Glyph rendering arrived in 1.6-3, GE 15 stubs in 1.6-5 existed only to stop grid from segfaulting, and 1.7-0 delivers the real GE 13/14/16 feature set rather than placeholders. Alongside that, dropping the CAIROGD_VER C API and the mkdist step means the package now builds with plain R CMD build, which reads as deliberate reduction of maintenance overhead.
◆ Prediction
Expect the next releases to be corrective rather than additive: the entries show every API adoption here has been followed by a fix release, and patterns, masks and groups are a much larger surface than glyphs were.
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 cairo 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 cairo 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.
Recent activity from cairo 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
- 9mo agocairoCairo adds fill patterns, masks and groups (GE API 16) ⚡
- 11mo agocairoCairo 1.6-4: configure cleanup, locatorBell dropped on X11
- 11mo agocairoCairo 1.6-5 stubs GE 15 to stop grid segfaulting
- 2y agocairoCairo 1.6-2
- 2y agocairoCairo 1.6-3 adds glyph rendering for grid.glyph()
- 2y agoweirdWine reviews dataset replaced with a fetch function
Frequently asked questions
What is the difference between cairo and weird?
They serve adjacent needs but don't currently overlap on shipped themes. cairo 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 cairo better than weird?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. cairo 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 cairo?
Top cairo alternatives in Analytics are ranked by recent ship velocity. Browse the "cairo alternatives" section above for the current picks, or visit /alternatives/cairo-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.