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lime vs tidytlg

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

lime vs tidytlg: at a glance

Featurelimetidytlg
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesexplainability, machine-learning, maintenance-mode, r-packagesclinical-trials, tables, r-package, pharmaverse
Last editorial update2h 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 tidytlg?

A tables-listings-graphs package that reached CRAN and then went quiet.

tidytlg generates clinical tables, listings, and graphs from tidyverse-style pipelines, maintained under the pharmaverse organisation. All four releases in the window are from a single eight-month stretch in 2023, and their content is CRAN preparation, a logging-dependency swap, and multi-file support. Release notes are merge lists rather than described changes.

Read the full tidytlg trajectory →

lime vs tidytlg: 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.

T
tidytlg
ANALYTICS
0.0

A tables-listings-graphs package that reached CRAN and then went quiet.

◆ Current state

tidytlg generates clinical tables, listings, and graphs from tidyverse-style pipelines, maintained under the pharmaverse organisation. All four releases in the window are from a single eight-month stretch in 2023, and their content is CRAN preparation, a logging-dependency swap, and multi-file support. Release notes are merge lists rather than described changes.

◆ Where it's heading

The visible arc is getting onto CRAN and staying installable — vignette corrections per CRAN comments, a badge, a check fix, and replacing the timber logging package with logrx. The one functional addition is multiple-file support. There has been no release since October 2023, so on this evidence the package is stable or dormant rather than actively developing.

◆ Prediction

The entries give no signal about planned work; with nothing shipped in roughly two years, the more likely next event is a maintenance release triggered by a dependency or CRAN check than a feature.

Alternatives to lime and tidytlg

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 tidytlg.

See all lime alternatives → · See all tidytlg alternatives →

Recent activity from lime and tidytlg

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

  1. 8mo agolimexgboost compatibility restored across versions
  2. 2y agotidytlgSwaps the timber logger for logrx
  3. 3y agotidytlgMultiple-file support and table-binding fixes
  4. 3y agotidytlgVignette update per CRAN comments
  5. 3y agotidytlgFirst CRAN release
  6. 3y agolimeMaintainer handover and general upkeep
  7. 5y agolimeShiny dependencies moved to Suggests
  8. 6y agolimeNamespace fix for glmnet changes
  9. 7y agolimegower_pow added and lambda aligned with the Python implementation
  10. 8y agolimeh2o support, NA handling, and date columns held during permutation

Frequently asked questions

What is the difference between lime and tidytlg?

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

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. lime and tidytlg 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 tidytlg?

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