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cmdstanr vs see

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

cmdstanr vs see: at a glance

Featurecmdstanrsee
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesbayesian inference, stan, approximate inference, windows toolchainr, easystats, data-visualization, ggplot2
Last editorial update56m ago3h 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 see?

see grows wherever easystats adds a diagnostic, one plot method at a time.

see is the visualization layer for the easystats ecosystem, supplying plot() methods for performance, parameters and datawizard objects. Each release adds methods for whatever those packages shipped — prior predictive checks, DAG diagrams, factor-analysis graphs — alongside steady theme and geom refinement.

Read the full see trajectory →

cmdstanr vs see: 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.

S
see
ANALYTICS
0.0

see grows wherever easystats adds a diagnostic, one plot method at a time.

◆ Current state

see is the visualization layer for the easystats ecosystem, supplying plot() methods for performance, parameters and datawizard objects. Each release adds methods for whatever those packages shipped — prior predictive checks, DAG diagrams, factor-analysis graphs — alongside steady theme and geom refinement.

◆ Where it's heading

Growth here is downstream-driven rather than self-directed: see expands to cover new diagnostics as easystats produces them. Running alongside that is a sustained investment in presentation control — theme arguments on plot methods, elements that scale with base_size — which suits users embedding these plots in documents rather than glancing at them interactively.

◆ Prediction

Expect new plot methods to keep arriving in step with performance and parameters releases, with continued theming work rather than any change in the package's scope.

Alternatives to cmdstanr and see

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 see.

See all cmdstanr alternatives → · See all see alternatives →

Recent activity from cmdstanr and see

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

  1. 1mo agoseesee 0.14.1 adds plots for prior checks and grouped means
  2. 2mo agoseesee 0.14.0 renders factor loadings as node-edge graphs
  3. 4mo agocmdstanrRTools45 support; Windows needs no extra toolchain setup
  4. 4mo agocmdstanrBugfix release: SUNDIALS linking, Windows paths, RTools
  5. 4mo agocmdstanrCmdStanFit objects usable as initial values; RcppEigen dropped
  6. 6mo agoseesee 0.13.0 fixes reversed plot sorting, adds theme arguments
  7. 11mo agoseesee 0.12.0 extends normality checks to psych factor models
  8. 1y agoseesee 0.11.0 scales theme elements with base_size
  9. 1y agoseesee 0.10.0 plots random-effect group levels for mixed models
  10. 2y agocmdstanrBugfix release with dedicated hpp generation step
  11. 2y agocmdstanrLaplace and Pathfinder inference methods added
  12. 2y agocmdstanrjacobian argument enabled for optimization; assorted fixes

Frequently asked questions

What is the difference between cmdstanr and see?

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

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

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