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cairo vs distributional

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

cairo vs distributional: at a glance

Featurecairodistributional
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-graphics, rendering, api-parity, maintenancer-package, probability-distributions, distribution-arithmetic, numerical-methods
Last editorial update53m ago4h ago
WebsiteVisit →Visit →

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.

Read the full cairo trajectory →

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.

Read the full distributional trajectory →

cairo vs distributional: editorial side-by-side

C
cairo
ANALYTICS
0.0

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.

D0.0

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.

Alternatives to cairo and distributional

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 distributional.

See all cairo alternatives → · See all distributional alternatives →

Recent activity from cairo and distributional

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

  1. 1mo agodistributionalConditional S3 registration so the package loads on R before 4.3
  2. 1mo agodistributionalDistribution arithmetic: FFT convolution behind the + and - operators
  3. 2mo agodistributionalVectorised p in quantile() for inflated distributions; open brackets on infinite bounds
  4. 5mo agodistributionalDirichlet and Horseshoe distributions added
  5. 7mo agodistributionalhas_symmetry() generic, exact HDRs for symmetric distributions
  6. 9mo agocairoCairo adds fill patterns, masks and groups (GE API 16)
  7. 11mo agocairoCairo 1.6-4: configure cleanup, locatorBell dropped on X11
  8. 11mo agocairoCairo 1.6-5 stubs GE 15 to stop grid segfaulting
  9. 1y agodistributionalMonte Carlo cdf() default method; g-and-k, g-and-h and extreme-value families
  10. 2y agocairoCairo 1.6-2
  11. 2y agocairoCairo 1.6-3 adds glyph rendering for grid.glyph()

Frequently asked questions

What is the difference between cairo and distributional?

They serve adjacent needs but don't currently overlap on shipped themes. cairo and distributional 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 distributional?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. cairo and distributional 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 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.