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Distributions.jl vs ggquiver

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

Distributions.jl vs ggquiver: at a glance

FeatureDistributions.jlggquiver
SectorAnalyticsAnalytics
Velocity score5.02.5
Sparks · 30d00
Top themesjulia, statistics, distributions, samplingggplot2-extension, vector-fields, data-visualization, coordinate-systems
Last editorial update17h ago22h ago
WebsiteVisit →Visit →

What is Distributions.jl?

Julia's distribution library keeps filing down the edges where sampling meets array types

Distributions.jl ships small, frequent releases against a large and settled API surface. The newest release accepts any AbstractVecOrMat when sampling from an MvNormal, closing a reported case where rand! ran much slower for an AbstractMatrix than for a plain Matrix. Around it sits the usual mix of per-distribution correctness fixes, fitting support such as sufficient statistics and MLE for Chi and Chisq, and dependency pruning.

Read the full Distributions.jl trajectory →

What is ggquiver?

ggquiver is awake again, fixing arrow scaling that quietly misread irregular data.

A small ggplot2 extension for quiver and vector-field plots. The 0.3.x line in late 2021 made arrows behave outside plain Cartesian coordinates; after a four-year gap, 0.4.0 made them honour scale transformations and exposed grid::arrow() styling. 0.5.0 continues in correctness: automatic vecsize grid detection no longer rescales arrows wrongly on irregularly spaced data like GPS coordinates, an undetectable grid warns rather than errors, and legend keys now show an arrowhead.

Read the full ggquiver trajectory →

Distributions.jl vs ggquiver: editorial side-by-side

D5.0

Julia's distribution library keeps filing down the edges where sampling meets array types

◆ Current state

Distributions.jl ships small, frequent releases against a large and settled API surface. The newest release accepts any AbstractVecOrMat when sampling from an MvNormal, closing a reported case where rand! ran much slower for an AbstractMatrix than for a plain Matrix. Around it sits the usual mix of per-distribution correctness fixes, fitting support such as sufficient statistics and MLE for Chi and Chisq, and dependency pruning.

◆ Where it's heading

The arc is consolidation rather than expansion, and this release is a clean example: the fix is not a new distribution but a signature loosened so the library behaves the same whatever array type callers hand it. Together with earlier sparsity tracing through constructors and looser MvNormal type aliases, the direction is a package that composes predictably with the rest of the Julia numerical stack instead of one that grows new surface.

◆ Prediction

Expect the same cadence of per-distribution fixes and fitting-method additions, with further signature loosening where concrete array types are still assumed. Nothing in these entries signals a major version or API break.

G
ggquiver
ANALYTICS
2.5

ggquiver is awake again, fixing arrow scaling that quietly misread irregular data.

◆ Current state

A small ggplot2 extension for quiver and vector-field plots. The 0.3.x line in late 2021 made arrows behave outside plain Cartesian coordinates; after a four-year gap, 0.4.0 made them honour scale transformations and exposed grid::arrow() styling. 0.5.0 continues in correctness: automatic vecsize grid detection no longer rescales arrows wrongly on irregularly spaced data like GPS coordinates, an undetectable grid warns rather than errors, and legend keys now show an arrowhead.

◆ Where it's heading

The consistent theme across both eras is deferring to ggplot2 rather than drawing on top of it — coordinate systems first, then scale transformations, then arrow styling handed to grid, and now the automatic sizing heuristic itself. The two 0.4.0/0.5.0 releases inside seven months suggest the four-year gap was dormancy rather than abandonment, and the work has shifted from integration gaps to the package's own inference: 0.5.0 is the first release to treat automatic grid detection as something that can be wrong rather than merely absent. The changelog remains entirely correctness and integration; there is still no sign of new plot types.

◆ Prediction

The entries support a narrow read: further releases will likely keep hardening vecsize inference and closing ggplot2 integration gaps as users report them. Two releases in seven months hint the cadence has resumed, but one gap of four years makes that weak evidence.

Alternatives to Distributions.jl and ggquiver

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 Distributions.jl or ggquiver.

See all Distributions.jl alternatives → · See all ggquiver alternatives →

Recent activity from Distributions.jl and ggquiver

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

  1. 1d agoggquiverArrow scaling fixed for irregular grids; legend keys gain arrowheads
  2. 1d agoDistributions.jlMvNormal sampling accepts any AbstractVecOrMat, closing a rand! slowdown
  3. 25d agoDistributions.jlLogitNormal comment fix and doc typo cleanup
  4. 1mo agoDistributions.jlLooser MvNormal and MvNormalCanon type aliases
  5. 1mo agoDistributions.jlTruncated Chernoff quantile and sparsity tracing fixes
  6. 2mo agoDistributions.jlSparsity tracing works through distribution constructors
  7. 2mo agoDistributions.jlStatsFuns 2 upgrade and CI action bumps
  8. 6mo agoggquiverArrows respect scale transformations and grid arrow styling
  9. 4y agoggquiverArrow scaling and centered-arrow angle fixes
  10. 4y agoggquiverFix for resized vectors via vecsize
  11. 4y agoggquiverNon-Cartesian coordinates and ggmap backgrounds supported

Frequently asked questions

What is the difference between Distributions.jl and ggquiver?

They serve adjacent needs but don't currently overlap on shipped themes. Distributions.jl is currently shipping more aggressively (velocity 5.0 vs 2.5), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is Distributions.jl better than ggquiver?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Distributions.jl is currently shipping more aggressively (velocity 5.0 vs 2.5), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to Distributions.jl?

Top Distributions.jl alternatives in Analytics are ranked by recent ship velocity. Browse the "Distributions.jl alternatives" section above for the current picks, or visit /alternatives/distributions-jl for the full list with editorial commentary on each.

What are the best alternatives to ggquiver?

Top ggquiver alternatives in Analytics are ranked by recent ship velocity. Browse the "ggquiver alternatives" section above for the current picks, or visit /alternatives/ggquiver for the full list with editorial commentary on each.