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lime vs webmockr

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

lime vs webmockr: at a glance

Featurelimewebmockr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesexplainability, machine-learning, maintenance-mode, r-packageshttp-mocking, testing, httr2, ropensci
Last editorial update1h 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 webmockr?

The stubbing library added httr2 support, then spent a year cutting itself free of everything else

webmockr intercepts HTTP requests in R tests and returns stubbed responses, and since 1.0.0 it covers all three clients that matter — httr, httr2 and crul. The releases through 2025 have been about shedding dependencies: internal R6 classes unexported in 2.1.0, crul demoted from Imports to Suggests in the same release, and the mutual dependency with vcr severed in 2.2.0. The package now installs and runs without pulling in the rest of the rOpenSci HTTP stack.

Read the full webmockr trajectory →

lime vs webmockr: 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.

W
webmockr
ANALYTICS
0.0

The stubbing library added httr2 support, then spent a year cutting itself free of everything else

◆ Current state

webmockr intercepts HTTP requests in R tests and returns stubbed responses, and since 1.0.0 it covers all three clients that matter — httr, httr2 and crul. The releases through 2025 have been about shedding dependencies: internal R6 classes unexported in 2.1.0, crul demoted from Imports to Suggests in the same release, and the mutual dependency with vcr severed in 2.2.0. The package now installs and runs without pulling in the rest of the rOpenSci HTTP stack.

◆ Where it's heading

Two arcs run in sequence. The first is coverage — multiple queued responses in 0.7.0, basic auth mocking, async through crul, then httr2 — building out what can be stubbed. The second, starting with 2.0.0, is correctness and independence: stubs are now deleted if an error occurs mid-construction rather than lingering half-built, partial matching arrives for bodies and queries, and the dependency graph is pruned release by release. The 2.2.0 split from vcr landed within a minute of crul's release taking mocking control into its own clients.

◆ Prediction

RequestPattern is documented as still exported in 2.1.0 but slated for removal, so the next major release is where that lands. Expect continued dependency pruning rather than new client support — the three clients that exist are already covered.

Alternatives to lime and webmockr

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 webmockr.

See all lime alternatives → · See all webmockr alternatives →

Recent activity from lime and webmockr

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

  1. 8mo agolimexgboost compatibility restored across versions
  2. 1y agowebmockrvcr dependency severed
  3. 1y agowebmockrInternal classes unexported; crul becomes an optional dependency
  4. 1y agowebmockrFailed stub construction cleans up; partial matching extends to bodies and queries
  5. 2y agowebmockrhttr2 joins httr and crul as a supported client
  6. 3y agowebmockrQueued responses, body matching and integer status codes fixed
  7. 3y agowebmockrRegex URI matching fixed
  8. 3y agolimeMaintainer handover and general upkeep
  9. 5y agolimeShiny dependencies moved to Suggests
  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 webmockr?

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

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

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