tidytext
Finished, widely taught, and shipping roxygen fixes.
Comparison · Analytics
gutenbergr vs lime
A side-by-side editorial comparison of gutenbergr and lime — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-stats
gutenbergr vs lime: at a glance
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.
What is lime?
lime survives on compatibility patches years after its research moment
lime brings local interpretable model-agnostic explanations to R. Its substantive development finished around 0.5.0 in 2019, which added argument pass-through to predict(), a gower_pow tuning knob and a batch of fixes. Since then there have been three releases: a namespace fix, a maintainer handover to Emil Hvitfeldt with general upkeep, and a patch to work across xgboost versions.
gutenbergr vs lime: editorial side-by-side
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.
lime
0.0ANALYTICS
lime survives on compatibility patches years after its research moment
◆ Current state
lime brings local interpretable model-agnostic explanations to R. Its substantive development finished around 0.5.0 in 2019, which added argument pass-through to predict(), a gower_pow tuning knob and a batch of fixes. Since then there have been three releases: a namespace fix, a maintainer handover to Emil Hvitfeldt with general upkeep, and a patch to work across xgboost versions.
◆ Where it's heading
The package is in custodial maintenance — kept installable and compatible with the model packages it explains, rather than developed. The 2022 handover is the most consequential entry in the window because it determined that the package would keep getting patches at all.
◆ Prediction
Expect the next release to be another compatibility fix triggered by an upstream model package, not new explanation methods.
Alternatives to gutenbergr and lime
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 gutenbergr or lime.
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 gutenbergr alternatives → · See all lime alternatives →
Recent activity from gutenbergr and lime
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
- 8mo agolimeCompatibility across all xgboost versions
- 3y agolimeMaintainer handover to Emil Hvitfeldt
- 5y agolimeorder() fix and lighter dependencies
- 6y agolimeNamespace fix following glmnet changes
- 7y agolimeexplain() gains pass-through args and gower_pow tuning
- 8y agolimeh2o support, NA handling and date feature types
Frequently asked questions
What is the difference between gutenbergr and lime?
Both compete on the same themes — r-stats — within Analytics. gutenbergr and lime 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 gutenbergr better than lime?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. gutenbergr and lime 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 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.
What are the best alternatives to lime?
Top lime alternatives in Analytics are ranked by recent ship velocity. Browse the "lime alternatives" section above for the current picks, or visit /alternatives/lime-r for the full list with editorial commentary on each.