← Back to home
Comparison · Analytics

abclass vs ggquiver

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

Shared themes:r package

abclass vs ggquiver: at a glance

Featureabclassggquiver
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesclassification, regularization, large-margin classifiers, cran maintenanceggplot2 extension, vector fields, data visualization, coordinate systems
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is abclass?

abclass built out angle-based classifiers in 2022, then went quiet except for CRAN upkeep.

An implementation of multi-category angle-based large-margin classifiers with regularization. The capability was assembled in four releases across 2022: group lasso, then group SCAD and MCP penalties, then sparse matrix input, cross-validation via cv.abclass(), an efficient tuning path in et.abclass(), and experimental sup-norm classifiers. After a three-year gap, 0.5.0 simplified how group penalties are specified and 0.5.1 swapped the quadratic programming backend after qpmadr was archived on CRAN.

Read the full abclass trajectory →

What is ggquiver?

ggquiver returned after four years to make arrows respect ggplot's own scales.

A small ggplot2 extension for quiver and vector-field plots. The 0.3.x line in late 2021 was about making arrows behave correctly outside plain Cartesian coordinates — non-Cartesian coordinate systems, ggmap backgrounds, arrow sizing and angles. Then nothing for over four years, until 0.4.0 made arrows honour scale transformations on the x and y aesthetics and exposed grid::arrow()'s appearance options.

Read the full ggquiver trajectory →

abclass vs ggquiver: editorial side-by-side

A
abclass
ANALYTICS
0.0

abclass built out angle-based classifiers in 2022, then went quiet except for CRAN upkeep.

◆ Current state

An implementation of multi-category angle-based large-margin classifiers with regularization. The capability was assembled in four releases across 2022: group lasso, then group SCAD and MCP penalties, then sparse matrix input, cross-validation via cv.abclass(), an efficient tuning path in et.abclass(), and experimental sup-norm classifiers. After a three-year gap, 0.5.0 simplified how group penalties are specified and 0.5.1 swapped the quadratic programming backend after qpmadr was archived on CRAN.

◆ Where it's heading

The methods surface is complete and the package has moved into maintenance, where releases are triggered by the R ecosystem rather than by research. The one structural habit worth noting is a willingness to change defaults — alpha, epsilon, lum_c and now the cross-validation alignment have all shifted between versions, so results are not stable across upgrades unless arguments are set explicitly.

◆ Prediction

Expect further releases to track CRAN dependency changes, as 0.5.1 did within a day of qpmadr's archival; nothing in the entries points to new penalty families.

G
ggquiver
ANALYTICS
0.0

ggquiver returned after four years to make arrows respect ggplot's own scales.

◆ Current state

A small ggplot2 extension for quiver and vector-field plots. The 0.3.x line in late 2021 was about making arrows behave correctly outside plain Cartesian coordinates — non-Cartesian coordinate systems, ggmap backgrounds, arrow sizing and angles. Then nothing for over four years, until 0.4.0 made arrows honour scale transformations on the x and y aesthetics and exposed grid::arrow()'s appearance options.

◆ 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. Development is episodic — years pass, then a release that closes the gap between what the geom does and what a user expects from any other layer. The changelog is entirely correctness and integration work; there is no sign of the package growing new plot types.

◆ Prediction

The entries only support a narrow read: further releases will likely keep closing ggplot2 integration gaps as they are reported, but the four-year gap means cadence is not predictable from this feed.

Alternatives to abclass 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 abclass or ggquiver.

See all abclass alternatives → · See all ggquiver alternatives →

Recent activity from abclass and ggquiver

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

  1. 6mo agoggquiverArrows respect scale transformations and grid arrow styling
  2. 7mo agoabclassQuadratic programming backend swapped after CRAN archival
  3. 10mo agoabclassGroup penalty specification simplified
  4. 3y agoabclassSparse input, cross-validation and efficient tuning added
  5. 4y agoabclassGroup SCAD and MCP penalties added
  6. 4y agoabclassGroup lasso regularization and correctness fixes
  7. 4y agoabclassFirst release of the angle-based classifiers
  8. 4y agoggquiverArrow scaling and centered-arrow angle fixes
  9. 4y agoggquiverFix for resized vectors via vecsize
  10. 4y agoggquiverNon-Cartesian coordinates and ggmap backgrounds supported

Frequently asked questions

What is the difference between abclass and ggquiver?

Both compete on the same themes — r package — within Analytics. abclass and ggquiver 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 abclass better than ggquiver?

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

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