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lime vs ymlthis

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

lime vs ymlthis: at a glance

Featurelimeymlthis
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesexplainability, machine-learning, maintenance-mode, r-packagesr-markdown, yaml, retirement, quarto
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 ymlthis?

ymlthis retired itself, naming Quarto as the reason it no longer needs to exist.

ymlthis built R Markdown YAML front matter programmatically — a fluent `yml_*()` interface plus RStudio add-ins, so users did not have to hand-write metadata blocks whose valid fields were scattered across output-format documentation. Version 1.0.0 declares the package retired, with only CRAN-preserving changes to follow, and states the reason plainly: Quarto now provides good YAML support.

Read the full ymlthis trajectory →

lime vs ymlthis: 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.

Y
ymlthis
ANALYTICS
0.0

ymlthis retired itself, naming Quarto as the reason it no longer needs to exist.

◆ Current state

ymlthis built R Markdown YAML front matter programmatically — a fluent `yml_*()` interface plus RStudio add-ins, so users did not have to hand-write metadata blocks whose valid fields were scattered across output-format documentation. Version 1.0.0 declares the package retired, with only CRAN-preserving changes to follow, and states the reason plainly: Quarto now provides good YAML support.

◆ Where it's heading

The retirement is the endpoint of a long drift. Between 2020 and 2022 every release was reactive — patching around a crayon update that mangled rendered YAML, tracking shiny 1.6, following roxygen2 7.0.0, fixing a typo in an add-in. No new capability has landed in six years, and the four-year gap before 1.0.0 had already answered the question the release note finally makes explicit.

◆ Prediction

Nothing further of substance is expected — the stated policy is changes only where CRAN requires them, so the next release, if any, will be a compatibility patch.

Alternatives to lime and ymlthis

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 ymlthis.

See all lime alternatives → · See all ymlthis alternatives →

Recent activity from lime and ymlthis

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

  1. 5mo agoymlthisymlthis retired; Quarto covers the need
  2. 8mo agolimexgboost compatibility restored across versions
  3. 3y agolimeMaintainer handover and general upkeep
  4. 4y agoymlthisTypo fixed in the miniUI add-in check
  5. 4y agoymlthisyml_author() accepts yml_blank(); shiny fixes
  6. 4y agoymlthisciteproc handling moved to newer rmarkdown functions
  7. 5y agoymlthisPatched a crayon update that mangled rendered YAML
  8. 5y agolimeShiny dependencies moved to Suggests
  9. 5y agoymlthisAdjustments for shiny 1.6
  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 ymlthis?

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

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

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