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lime vs refsplitr

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

lime vs refsplitr: at a glance

Featurelimerefsplitr
SectorAnalyticsAnalytics
Velocity score0.05.0
Sparks · 30d00
Top themesexplainability, machine-learning, maintenance-mode, r-packagesbibliometrics, author-disambiguation, georeferencing, ropensci
Last editorial update48m ago2h 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 refsplitr?

Author disambiguation for bibliometrics, still grinding on the hard part: which names are the same person.

refsplitr parses Web of Science reference records into tidy data and tries to resolve which author strings belong to the same researcher, then georeferences their institutional addresses for network and map visualizations. The active work is squarely on the disambiguation core: 1.2.3 continues refining the author grouping algorithm and 1.2.1 adjusted ORCID ID matching. Earlier, 1.2.0 replaced the address parsing algorithm and changed the default georeferencing option for author institutions.

Read the full refsplitr trajectory →

lime vs refsplitr: 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.

R
refsplitr
ANALYTICS
5.0

Author disambiguation for bibliometrics, still grinding on the hard part: which names are the same person.

◆ Current state

refsplitr parses Web of Science reference records into tidy data and tries to resolve which author strings belong to the same researcher, then georeferences their institutional addresses for network and map visualizations. The active work is squarely on the disambiguation core: 1.2.3 continues refining the author grouping algorithm and 1.2.1 adjusted ORCID ID matching. Earlier, 1.2.0 replaced the address parsing algorithm and changed the default georeferencing option for author institutions.

◆ Where it's heading

Development has narrowed to the two operations that determine whether the output is usable — grouping author name variants and resolving addresses to coordinates. Everything else has been shedding: the maptools dependency was removed once that package was deprecated, and visualization changes are mostly about surfacing records the pipeline could not resolve, as with plot_net_country() returning fixable_countries so users can correct and rerun. Release notes are terse and defer to NEWS, so the changelog itself carries little detail.

◆ Prediction

Expect further incremental passes on author grouping and ORCID matching rather than new outputs; that algorithm is the package's accuracy ceiling and the last several releases have all touched it.

Alternatives to lime and refsplitr

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 refsplitr.

See all lime alternatives → · See all refsplitr alternatives →

Recent activity from lime and refsplitr

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

  1. 28d agorefsplitrFurther refinement of the author grouping algorithm
  2. 29d agorefsplitrMinor fixes and ORCID matching edits
  3. 8mo agolimexgboost compatibility restored across versions
  4. 1y agorefsplitrNew address parsing algorithm, changed georeferencing default
  5. 2y agorefsplitrUnresolved countries surfaced, maptools dependency dropped
  6. 3y agolimeMaintainer handover and general upkeep
  7. 5y agolimeShiny dependencies moved to Suggests
  8. 6y agorefsplitrrOpenSci release v0.9.0
  9. 6y agolimeNamespace fix for glmnet changes
  10. 7y agolimegower_pow added and lambda aligned with the Python implementation
  11. 8y agolimeh2o support, NA handling, and date columns held during permutation

Frequently asked questions

What is the difference between lime and refsplitr?

They serve adjacent needs but don't currently overlap on shipped themes. refsplitr is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is lime better than refsplitr?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. refsplitr is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. 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 refsplitr?

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