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mlr3mbo picked its defaults from a benchmark study, not from taste
Comparison · Analytics
easystats vs ggraph
A side-by-side editorial comparison of easystats and ggraph — release velocity, themes, recent moves, and the top alternatives to consider.
easystats vs ggraph: at a glance
What is easystats?
The easystats meta-package is install tooling wrapped around a relicensed ecosystem.
easystats is the meta-package for the easystats ecosystem, which spans insight, parameters, performance and their siblings. It ships almost no statistics of its own; its releases add installation helpers, ecosystem introspection functions and vignettes. The consequential release in this window is 0.7.0, which moved the whole ecosystem to an MIT license.
What is ggraph?
ggraph has settled into ggplot2 compatibility duty
ggraph provides the grammar of graphics for network and tree data. Its recent releases are compatibility and bug-fix work — a collapse fix in get_edges() alongside ggplot2 v4.0.0 upkeep, and before that a pipe rollback. The last release with real content was 2.2.0, a long list of layout and edge-geom corrections.
easystats vs ggraph: editorial side-by-side
easystats
0.0ANALYTICS
The easystats meta-package is install tooling wrapped around a relicensed ecosystem.
◆ Current state
easystats is the meta-package for the easystats ecosystem, which spans insight, parameters, performance and their siblings. It ships almost no statistics of its own; its releases add installation helpers, ecosystem introspection functions and vignettes. The consequential release in this window is 0.7.0, which moved the whole ecosystem to an MIT license.
◆ Where it's heading
Work concentrates on making the ecosystem legible and installable as a unit: easystats_packages() to enumerate it, easystats_citations() to count its citations, pak and r-universe support to install it, and a complete-workflow vignette to show it in use. Underneath that, 0.7.0 settled the licensing and formalized the author list. The pattern is a project tending its own boundaries rather than adding capability.
◆ Prediction
The recent additions are all introspection and installation helpers, so the next release most likely adds another of those or refreshes component versions rather than changing what the ecosystem does.
ggraph
0.0ANALYTICS
ggraph has settled into ggplot2 compatibility duty
◆ Current state
ggraph provides the grammar of graphics for network and tree data. Its recent releases are compatibility and bug-fix work — a collapse fix in get_edges() alongside ggplot2 v4.0.0 upkeep, and before that a pipe rollback. The last release with real content was 2.2.0, a long list of layout and edge-geom corrections.
◆ Where it's heading
The feature surface looks finished and the maintenance is about keeping it working under a moving ggplot2. The one architectural move in this window — pushing dendrogram layout into compiled code to escape R's recursion limits, back in 2.1.0 — was about scaling existing features, not adding new ones.
◆ Prediction
Expect the next release to follow ggplot2 4.0.0 rather than introduce layouts or edge geoms.
Alternatives to easystats and ggraph
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 easystats or ggraph.
loo
loo keeps rewriting the diagnostics Bayesian modellers read off model comparison
mlr3fselect
mlr3fselect turned feature selection into an asynchronous, distributable job
lime
lime survives on compatibility patches years after its research moment
mlr3measures
mlr3measures is systematically retrofitting sample weights across every metric
mlr3cluster
mlr3cluster went from a handful of clusterers to covering the field
See all easystats alternatives → · See all ggraph alternatives →
Recent activity from easystats and ggraph
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 11mo agoggraphget_edges() collapse fix and ggplot2 v4 upkeep
- 1y agoeasystatseasystats_citations() added; install_latest() gains a github source
- 1y agoeasystatsComplete-workflow vignette added; install_suggested() fix
- 2y agoeasystatseasystats_packages() added; pak used for installs when available
- 2y agoeasystatsR version policy vignette added
- 2y agoeasystatsFix for development package version detection
- 2y agoggraphNative pipe usage rolled back
- 2y agoggraphLayout precision and edge geom fixes across the package
- 2y agoeasystatsEcosystem relicensed to MIT; two new authors added ⚡
- 3y agoggraphBinned edge scales and compiled dendrogram layouts
- 5y agoggraphC++11 pinned to fix std::random_shuffle deprecation
- 5y agoggraphFaceting and edge geom bug fixes
Frequently asked questions
What is the difference between easystats and ggraph?
They serve adjacent needs but don't currently overlap on shipped themes. easystats and ggraph 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 easystats better than ggraph?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. easystats and ggraph 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 easystats?
Top easystats alternatives in Analytics are ranked by recent ship velocity. Browse the "easystats alternatives" section above for the current picks, or visit /alternatives/easystats for the full list with editorial commentary on each.
What are the best alternatives to ggraph?
Top ggraph alternatives in Analytics are ranked by recent ship velocity. Browse the "ggraph alternatives" section above for the current picks, or visit /alternatives/ggraph for the full list with editorial commentary on each.