← Back to home
Comparison · Analytics

lime vs poissonreg

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

lime vs poissonreg: at a glance

Featurelimepoissonreg
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesexplainability, machine-learning, maintenance-mode, r-packagestidymodels, count-regression, glmnet, r-language
Last editorial update51m ago1h ago
WebsiteVisit →Visit →

What is lime?

The R port of LIME has shipped one commit in three years, and it was an xgboost compatibility patch

lime is the R implementation of local interpretable model-agnostic explanations, and it is effectively in preservation rather than development. Its last substantive feature release was 0.5.0 in 2019; 0.5.3 in 2022 recorded a maintainer handover and general upkeep; 0.5.4 in December 2025 exists solely to keep the package working across xgboost versions. Six releases span eight years, and only two of them contain features.

Read the full lime trajectory →

What is poissonreg?

poissonreg gave its models away to parsnip and kept the glue — now it just keeps glmnet honest.

poissonreg is a tidymodels extension that wires Poisson and zero-inflated count regression into the parsnip interface. Its defining event was giving up ownership: the model definition functions moved into parsnip itself, leaving this package as engine bindings and prediction plumbing. The current dev release is entirely correctness and hygiene work — glmnet predictions now default to mean counts rather than the linear predictor, and single-observation prediction works at last.

Read the full poissonreg trajectory →

lime vs poissonreg: editorial side-by-side

L
lime
ANALYTICS
0.0

The R port of LIME has shipped one commit in three years, and it was an xgboost compatibility patch

◆ Current state

lime is the R implementation of local interpretable model-agnostic explanations, and it is effectively in preservation rather than development. Its last substantive feature release was 0.5.0 in 2019; 0.5.3 in 2022 recorded a maintainer handover and general upkeep; 0.5.4 in December 2025 exists solely to keep the package working across xgboost versions. Six releases span eight years, and only two of them contain features.

◆ Where it's heading

The pattern is upstream-driven survival: every release since 0.5.0 responds to a change in something lime depends on — glmnet's namespace, order() semantics on data frames, xgboost's interface. The one deliberate change in that stretch was moving htmlwidgets, shiny and shinythemes to Suggests, which lightens installation for the majority of users who never open the interactive explainer. Nothing in the feed indicates work on the explanation method itself.

◆ Prediction

Expect the next release, whenever it comes, to be another compatibility patch triggered by a dependency change rather than anything touching how explanations are computed. The three-year gaps make timing unpredictable.

P
poissonreg
ANALYTICS
0.0

poissonreg gave its models away to parsnip and kept the glue — now it just keeps glmnet honest.

◆ Current state

poissonreg is a tidymodels extension that wires Poisson and zero-inflated count regression into the parsnip interface. Its defining event was giving up ownership: the model definition functions moved into parsnip itself, leaving this package as engine bindings and prediction plumbing. The current dev release is entirely correctness and hygiene work — glmnet predictions now default to mean counts rather than the linear predictor, and single-observation prediction works at last.

◆ Where it's heading

Release cadence has collapsed from yearly to a four-year gap between 1.0.1 and the current development version, and the content has shifted from features to deduplication against parsnip — copied helper functions replaced by the upstream originals, obsolete generic registrations removed, tests migrated to the shared extension-package pattern. This is what a stabilized tidymodels satellite looks like: the interface lives upstream, and the package's job is to not drift from it.

◆ Prediction

The dev version's accumulated fixes point to a CRAN release of 1.0.2 as the next move, with content limited to the glmnet prediction corrections rather than any new engine or model type.

Alternatives to lime and poissonreg

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 lime or poissonreg.

See all lime alternatives → · See all poissonreg alternatives →

Recent activity from lime and poissonreg

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

  1. 3mo agopoissonregglmnet predictions now default to mean counts
  2. 8mo agolimexgboost compatibility restored across versions
  3. 3y agopoissonregDocumentation regenerated for valid HTML5
  4. 3y agolimeMaintainer handover and general upkeep
  5. 4y agopoissonregCase weight support tracks parsnip 1.0.0
  6. 4y agopoissonregModel definitions move out of poissonreg into parsnip
  7. 4y agopoissonregglm becomes the default engine; tidy() for hurdle models
  8. 5y agolimeShiny dependencies moved to Suggests
  9. 5y agopoissonregFirst release, with a glmnet column-order safeguard
  10. 6y agolimeNamespace fix for glmnet changes
  11. 7y agolimegower_pow added and lambda aligned with the Python implementation
  12. 8y agolimeh2o support, NA handling, and date columns held during permutation

Frequently asked questions

What is the difference between lime and poissonreg?

They serve adjacent needs but don't currently overlap on shipped themes. lime and poissonreg 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 lime better than poissonreg?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. lime and poissonreg 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 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 for the full list with editorial commentary on each.

What are the best alternatives to poissonreg?

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