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cmdstanr vs lime

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

cmdstanr vs lime: at a glance

Featurecmdstanrlime
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesbayesian inference, stan, approximate inference, windows toolchaininterpretability, machine-learning, r-stats, maintenance
Last editorial update2h ago1h ago
WebsiteVisit →Visit →

What is cmdstanr?

cmdstanr keeps adding fast approximations beside full HMC, and fighting Windows toolchains.

cmdstanr is the lightweight R interface to CmdStan, shelling out to the Stan binary rather than embedding it. The visible releases pair inference-method expansion, with laplace and pathfinder arriving in 0.7.0, against a continuous effort to make installation work on Windows. The most recent releases are dominated by CmdStan version compatibility and numerical fixes in the loo path.

Read the full cmdstanr trajectory →

What is lime?

lime survives on compatibility patches years after its research moment

lime brings local interpretable model-agnostic explanations to R. Its substantive development finished around 0.5.0 in 2019, which added argument pass-through to predict(), a gower_pow tuning knob and a batch of fixes. Since then there have been three releases: a namespace fix, a maintainer handover to Emil Hvitfeldt with general upkeep, and a patch to work across xgboost versions.

Read the full lime trajectory →

cmdstanr vs lime: editorial side-by-side

C
cmdstanr
ANALYTICS
0.0

cmdstanr keeps adding fast approximations beside full HMC, and fighting Windows toolchains.

◆ Current state

cmdstanr is the lightweight R interface to CmdStan, shelling out to the Stan binary rather than embedding it. The visible releases pair inference-method expansion, with laplace and pathfinder arriving in 0.7.0, against a continuous effort to make installation work on Windows. The most recent releases are dominated by CmdStan version compatibility and numerical fixes in the loo path.

◆ Where it's heading

The package tracks CmdStan closely, and its own work concentrates in two places. One is broadening the method surface so approximate inference sits beside sampling on the same object, extended in 0.8.0 by letting a completed fit supply initial values for the next run. The other is cutting installation friction, which reaches its conclusion in 0.9.0 with RTools45 supported and no additional toolchain setup needed on Windows. Dependency trimming, such as dropping RcppEigen for direct Eigen interop, runs alongside both.

◆ Prediction

The cadence is a CmdStan release followed by a compatibility release here, so expect the next to track a newer CmdStan and continue the effective-sample-size numerical work in the loo method.

L
lime
ANALYTICS
0.0

lime survives on compatibility patches years after its research moment

◆ Current state

lime brings local interpretable model-agnostic explanations to R. Its substantive development finished around 0.5.0 in 2019, which added argument pass-through to predict(), a gower_pow tuning knob and a batch of fixes. Since then there have been three releases: a namespace fix, a maintainer handover to Emil Hvitfeldt with general upkeep, and a patch to work across xgboost versions.

◆ Where it's heading

The package is in custodial maintenance — kept installable and compatible with the model packages it explains, rather than developed. The 2022 handover is the most consequential entry in the window because it determined that the package would keep getting patches at all.

◆ Prediction

Expect the next release to be another compatibility fix triggered by an upstream model package, not new explanation methods.

Alternatives to cmdstanr and lime

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 cmdstanr or lime.

See all cmdstanr alternatives → · See all lime alternatives →

Recent activity from cmdstanr and lime

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

  1. 4mo agocmdstanrRTools45 support; Windows needs no extra toolchain setup
  2. 4mo agocmdstanrBugfix release: SUNDIALS linking, Windows paths, RTools
  3. 4mo agocmdstanrCmdStanFit objects usable as initial values; RcppEigen dropped
  4. 8mo agolimeCompatibility across all xgboost versions
  5. 2y agocmdstanrBugfix release with dedicated hpp generation step
  6. 2y agocmdstanrLaplace and Pathfinder inference methods added
  7. 2y agocmdstanrjacobian argument enabled for optimization; assorted fixes
  8. 3y agolimeMaintainer handover to Emil Hvitfeldt
  9. 5y agolimeorder() fix and lighter dependencies
  10. 6y agolimeNamespace fix following glmnet changes
  11. 7y agolimeexplain() gains pass-through args and gower_pow tuning
  12. 8y agolimeh2o support, NA handling and date feature types

Frequently asked questions

What is the difference between cmdstanr and lime?

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

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

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

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-r for the full list with editorial commentary on each.