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Comparison · Analytics
ggeffects vs gutenbergr
A side-by-side editorial comparison of ggeffects and gutenbergr — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-stats
ggeffects vs gutenbergr: at a glance
What is ggeffects?
ggeffects hands its contrast engine to modelbased and keeps the interface
ggeffects computes and plots marginal effects for a long tail of R model classes. Its recent line has two threads: steadily broadening model support and argument surface, and repeatedly absorbing breaking changes from the packages it computes on top of. In 2.2.0 it stopped absorbing them and delegated test_predictions() and johnson_neyman() to modelbased instead.
What is gutenbergr?
gutenbergr has been rebuilt around caching and mirror resilience
gutenbergr downloads Project Gutenberg texts into R. Its recent releases are a sustained reliability push driven largely by one contributor: a download cache with its own function family, mirror discovery with a known-good fallback, a User-Agent string identifying the client, and a section-marker helper. The newest releases are narrow compatibility and duplication fixes on top of that base.
ggeffects vs gutenbergr: editorial side-by-side
ggeffects
0.0ANALYTICS
ggeffects hands its contrast engine to modelbased and keeps the interface
◆ Current state
ggeffects computes and plots marginal effects for a long tail of R model classes. Its recent line has two threads: steadily broadening model support and argument surface, and repeatedly absorbing breaking changes from the packages it computes on top of. In 2.2.0 it stopped absorbing them and delegated test_predictions() and johnson_neyman() to modelbased instead.
◆ Where it's heading
The package is settling into a front-end role — a consistent predict_response() interface over other people's estimation engines — rather than owning the computation itself. The 2.x releases also show a pattern of removing deprecated arguments and clarifying mixed-model semantics, so the interface is being tightened as the backend is outsourced.
◆ Prediction
Expect the features lost in the modelbased handover to return as that package's contrast and slope estimation matures, rather than being reimplemented locally.
gutenbergr
0.0ANALYTICS
gutenbergr has been rebuilt around caching and mirror resilience
◆ Current state
gutenbergr downloads Project Gutenberg texts into R. Its recent releases are a sustained reliability push driven largely by one contributor: a download cache with its own function family, mirror discovery with a known-good fallback, a User-Agent string identifying the client, and a section-marker helper. The newest releases are narrow compatibility and duplication fixes on top of that base.
◆ Where it's heading
Development is aimed squarely at the failure modes of depending on a volunteer-run mirror network — cache locally, degrade gracefully when the mirror list cannot be parsed, and identify yourself politely to the servers. The version sequence in this feed is not monotonic, so recency here follows publication date rather than version number.
◆ Prediction
Further work should continue along the caching and mirror-handling line, with dataset refreshes as the Gutenberg catalogue changes.
Alternatives to ggeffects and gutenbergr
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 ggeffects or gutenbergr.
textrecipes
Text features finally stay sparse all the way to the model.
probably
The package that made calibration a step instead of an afterthought.
workflowsets
workflowsets keeps widening what counts as a model worth comparing.
workflows
The tidymodels pipeline grew a third stage, and it happens after the model runs.
vetiver
Posit's MLOps package went quiet for two years, then came back to keep up with recipes.
See all ggeffects alternatives → · See all gutenbergr alternatives →
Recent activity from ggeffects and gutenbergr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agogutenbergrMirror listing adapted to readMDTable 0.4.0
- 3mo agogutenbergrFixed duplicated lines for multi-author works
- 3mo agogutenbergrMirror selection now uses the published mirror list
- 5mo agogutenbergrSection markers, a User-Agent string and usage vignettes
- 6mo agogutenbergrMirror fallback instead of hard errors
- 7mo agogutenbergrDownloads are now cached, with a cache management API
- 1y agoggeffectsggeffects delegates contrasts and slopes to modelbased ⚡
- 1y agoggeffectsFive focal terms and formula-based contrast tests
- 1y agoggeffectsMixed-model predictions split type from interval
- 1y agoggeffectsBias correction for back-transformed mixed-model predictions
- 1y agoggeffectsSupport for WeightIt model classes
- 2y agoggeffectsglmgee support and vcov controls for ggemmeans()
Frequently asked questions
What is the difference between ggeffects and gutenbergr?
Both compete on the same themes — r-stats — within Analytics. ggeffects and gutenbergr 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 ggeffects better than gutenbergr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggeffects and gutenbergr 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 ggeffects?
Top ggeffects alternatives in Analytics are ranked by recent ship velocity. Browse the "ggeffects alternatives" section above for the current picks, or visit /alternatives/ggeffects for the full list with editorial commentary on each.
What are the best alternatives to gutenbergr?
Top gutenbergr alternatives in Analytics are ranked by recent ship velocity. Browse the "gutenbergr alternatives" section above for the current picks, or visit /alternatives/gutenbergr for the full list with editorial commentary on each.