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cmdstanr vs workflowsets

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

cmdstanr vs workflowsets: at a glance

Featurecmdstanrworkflowsets
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesbayesian inference, stan, approximate inference, windows toolchaintidymodels, model-comparison, clustering, tuning
Last editorial update2h ago46m 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 workflowsets?

workflowsets keeps widening what counts as a model worth comparing.

workflowsets holds a grid of preprocessor and model combinations and evaluates all of them under one call to workflow_map(). The releases in view widen that grid — clustering specifications via tidyclust, censored regression via an eval_time argument, case weights — and fill in the accessors around it with collect_notes(), collect_extracts() and fit_best(). The long-running pull_*() deprecation finally reached the error stage in 1.1.1.

Read the full workflowsets trajectory →

cmdstanr vs workflowsets: 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.

W
workflowsets
ANALYTICS
0.0

workflowsets keeps widening what counts as a model worth comparing.

◆ Current state

workflowsets holds a grid of preprocessor and model combinations and evaluates all of them under one call to workflow_map(). The releases in view widen that grid — clustering specifications via tidyclust, censored regression via an eval_time argument, case weights — and fill in the accessors around it with collect_notes(), collect_extracts() and fit_best(). The long-running pull_*() deprecation finally reached the error stage in 1.1.1.

◆ Where it's heading

The package's job is comparison, so its direction is set by what tidymodels can express: every time a new model paradigm lands elsewhere, workflowsets has to learn to rank it. Clustering was the largest of those steps because it has no outcome column to score against. Alongside that runs a slower cleanup — named-only optional arguments, type checking on inputs, informative errors when someone passes a workflow set to fit() — that reads as a package hardening after its API settled.

◆ Prediction

Expect the tailor postprocessors that workflows added in 1.3.0 to need representation here next, since a workflow set that cannot vary the postprocessor cannot compare calibration choices.

Alternatives to cmdstanr and workflowsets

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 workflowsets.

See all cmdstanr alternatives → · See all workflowsets alternatives →

Recent activity from cmdstanr and workflowsets

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. 1y agoworkflowsetscollect_extracts() added; pull_*() functions now error
  5. 2y agoworkflowsetsCensored regression evaluation; eval_time breaks positional args
  6. 2y agocmdstanrBugfix release with dedicated hpp generation step
  7. 2y agocmdstanrLaplace and Pathfinder inference methods added
  8. 2y agocmdstanrjacobian argument enabled for optimization; assorted fixes
  9. 3y agoworkflowsetsClustering models enter workflow sets via tidyclust
  10. 4y agoworkflowsetsCase weights supported across a workflow set
  11. 4y agoworkflowsetsUpdate models and recipes across a set; mixed inputs accepted
  12. 5y agoworkflowsetsextract_*() supersedes pull_*() across tidymodels

Frequently asked questions

What is the difference between cmdstanr and workflowsets?

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

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

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