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cmdstanr vs dtplyr

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

cmdstanr vs dtplyr: at a glance

Featurecmdstanrdtplyr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesbayesian inference, stan, approximate inference, windows toolchaindata.table, dplyr, translation, performance
Last editorial update56m ago2h 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 dtplyr?

dtplyr stopped hijacking data.table objects and became an opt-in translator

dtplyr converts dplyr and tidyr code into data.table syntax, and 1.3.0 redrew its boundary: verbs no longer dispatch to dtplyr translations just because dtplyr is loaded, so lazy_dt() has to be called explicitly. Since then the work has been translation coverage — reframe(), case_match(), consecutive_id() — plus a long tail of correctness fixes in grouping and .by.

Read the full dtplyr trajectory →

cmdstanr vs dtplyr: 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.

D
dtplyr
ANALYTICS
0.0

dtplyr stopped hijacking data.table objects and became an opt-in translator

◆ Current state

dtplyr converts dplyr and tidyr code into data.table syntax, and 1.3.0 redrew its boundary: verbs no longer dispatch to dtplyr translations just because dtplyr is loaded, so lazy_dt() has to be called explicitly. Since then the work has been translation coverage — reframe(), case_match(), consecutive_id() — plus a long tail of correctness fixes in grouping and .by.

◆ Where it's heading

The package is trailing dplyr's own feature releases rather than leading them, adding each new verb once it settles upstream. Performance work is targeted at specific verbs where data.table has a faster primitive: setorder() for arrange(), reference drops for select(), rleid() for consecutive_id(). Release cadence has thinned considerably since 2023.

◆ Prediction

Expect further one-for-one translations as dplyr adds verbs, and continued fixes around .by and non-standard column names; the entries show no sign of a broader redesign.

Alternatives to cmdstanr and dtplyr

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 dtplyr.

See all cmdstanr alternatives → · See all dtplyr alternatives →

Recent activity from cmdstanr and dtplyr

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. 11mo agodtplyrreframe(), case_match() and consecutive_id() gain translations
  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 agodtplyrcrayon dependency dropped
  9. 3y agodtplyrVerbs stop auto-dispatching; lazy_dt() now required
  10. 3y agodtplyrdtplyr 1.2.2
  11. 4y agodtplyrdtplyr 1.2.1
  12. 4y agodtplyrEight tidyr verbs gain data.table translations

Frequently asked questions

What is the difference between cmdstanr and dtplyr?

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

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

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