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fastrg vs gghighlight

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

Shared themes:r-package

fastrg vs gghighlight: at a glance

Featurefastrggghighlight
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesrandom-graphs, stochastic-blockmodels, network-sampling, sparse-matricesggplot2, data-visualisation, ggplot-extension, upstream-compat
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is fastrg?

A fast random-graph sampler that spent 0.3.1 fixing what its parameters actually mean.

fastRG samples from generalized random dot product graphs — stochastic blockmodels, degree-corrected and overlapping variants, directed and undirected — in time proportional to the number of edges rather than nodes squared, which is what makes large sparse networks tractable. Since 0.3.1 the model is constructed and parameterised in one object, with sampling methods taking that object rather than re-specifying edge distribution at sample time.

Read the full fastrg trajectory →

What is gghighlight?

A single-purpose ggplot2 extension that has spent six years tracking ggplot2 instead of growing.

gghighlight adds one verb to ggplot2: highlight the series matching a predicate and grey out the rest, with unhighlighted_params controlling how the shadowed layer renders and calculate_per_facet deciding whether the predicate evaluates within facets. The API settled at 0.2.0; the 0.5.0 release supports ggplot2 v4.0 including its ink and paper theme elements, and finally deletes gghighlight_point() and gghighlight_line().

Read the full gghighlight trajectory →

fastrg vs gghighlight: editorial side-by-side

F
fastrg
ANALYTICS
0.0

A fast random-graph sampler that spent 0.3.1 fixing what its parameters actually mean.

◆ Current state

fastRG samples from generalized random dot product graphs — stochastic blockmodels, degree-corrected and overlapping variants, directed and undirected — in time proportional to the number of edges rather than nodes squared, which is what makes large sparse networks tractable. Since 0.3.1 the model is constructed and parameterised in one object, with sampling methods taking that object rather than re-specifying edge distribution at sample time.

◆ Where it's heading

The package's development has been about semantic correctness more than speed. The 0.3.1 release moved edge-distribution arguments to the constructors and reinterpreted the mixing matrix S under Bernoulli parameterisation; 0.3.2 then flipped the meaning of X and Y in directed blockmodels so outgoing and incoming factors match the edge convention, and made block sorting conditional rather than unconditional. Both are corrections to what returned values mean, not to how fast they arrive. The 2025 release is CRAN documentation linking only.

◆ Prediction

With parameterisation settled and only a documentation release since 2023, the package reads as feature-complete for its sampling families. Nothing in the entries points to additional model types being queued.

G
gghighlight
ANALYTICS
0.0

A single-purpose ggplot2 extension that has spent six years tracking ggplot2 instead of growing.

◆ Current state

gghighlight adds one verb to ggplot2: highlight the series matching a predicate and grey out the rest, with unhighlighted_params controlling how the shadowed layer renders and calculate_per_facet deciding whether the predicate evaluates within facets. The API settled at 0.2.0; the 0.5.0 release supports ggplot2 v4.0 including its ink and paper theme elements, and finally deletes gghighlight_point() and gghighlight_line().

◆ Where it's heading

Two threads run through the history. One is a slow deprecation, from soft-deprecating the geom-specific functions at 0.1.0, to defunct at 0.3.0, to removed at 0.5.0 — a five-year removal cycle. The other is compatibility work: purrr 1.0.0, dplyr's across() deprecation, ggplot2 3.4.0, then 4.0. Genuine feature additions are rare and small, with line_label_type at 0.4.0 the last one. Note that 0.3.2's notes restate 0.3.1's n() item, so adjacent tags here overlap rather than each describing distinct work.

◆ Prediction

The next release most likely absorbs further ggplot2 4.x changes, given that is what triggered the last three. Nothing in the entries points to a new highlighting capability.

Alternatives to fastrg and gghighlight

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 fastrg or gghighlight.

See all fastrg alternatives → · See all gghighlight alternatives →

Recent activity from fastrg and gghighlight

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

  1. 1y agofastrgDocumentation cross-linking fixes for CRAN
  2. 1y agogghighlightggplot2 v4.0 support; geom-specific functions removed
  3. 2y agogghighlightTest expectations updated for upcoming ggplot2
  4. 2y agofastrgDirected blockmodel X and Y factors swapped to match edge direction
  5. 3y agogghighlightline_label_type adds geomtextpath and second-axis labelling
  6. 4y agofastrgfastRG 0.3.1
  7. 4y agogghighlightDeprecated dplyr::across() usage removed
  8. 5y agogghighlightExplicit NULL in unhighlighted_params preserved; aesthetic name clash fixed
  9. 5y agogghighlightDiscrete-scale labels and n() predicates

Frequently asked questions

What is the difference between fastrg and gghighlight?

Both compete on the same themes — r-package — within Analytics. fastrg and gghighlight 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 fastrg better than gghighlight?

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

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

What are the best alternatives to gghighlight?

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