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cmdstanr vs sparklyr

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

cmdstanr vs sparklyr: at a glance

Featurecmdstanrsparklyr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesbayesian inference, stan, approximate inference, windows toolchainspark, databricks, dbplyr-compatibility, maintenance
Last editorial update55m ago1h ago
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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 sparklyr?

sparklyr now spends its releases absorbing dbplyr changes and feeding pysparklyr

sparklyr connects R to Spark, and almost nothing in this window originates inside the package. Releases restore compatibility after dbplyr changes its SQL generation, adapt to Spark 4.0 and to R 4.4's version-comparison changes, and convert functions into S3 methods so pysparklyr can supply its own implementations.

Read the full sparklyr trajectory →

cmdstanr vs sparklyr: 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
sparklyr
ANALYTICS
0.0

sparklyr now spends its releases absorbing dbplyr changes and feeding pysparklyr

◆ Current state

sparklyr connects R to Spark, and almost nothing in this window originates inside the package. Releases restore compatibility after dbplyr changes its SQL generation, adapt to Spark 4.0 and to R 4.4's version-comparison changes, and convert functions into S3 methods so pysparklyr can supply its own implementations.

◆ Where it's heading

Two dependencies set the agenda. dbplyr repeatedly changes identifier quoting and lazy-table internals, and each change costs sparklyr a release. Meanwhile the package is being hollowed into a backend: ml_fit(), spark_apply(), spark_write_delta() and now tune_grid_spark() exist as methods so that pysparklyr, the Databricks Connect path, can override them. Dependency removal - tibble, rappdirs, digest - runs alongside as the package slims down.

◆ Prediction

Expect the next releases to continue tracking dbplyr and Spark versions, and more functions to be converted to methods as functionality shifts toward pysparklyr; new capability arriving in sparklyr itself looks unlikely.

Alternatives to cmdstanr and sparklyr

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 sparklyr.

See all cmdstanr alternatives → · See all sparklyr alternatives →

Recent activity from cmdstanr and sparklyr

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

  1. 1mo agosparklyrRestores compatibility after dbplyr changed Hive quoting
  2. 3mo agosparklyrAdds tune_grid_spark() for pysparklyr to implement
  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. 10mo agosparklyrFixes lazy-table field lookup and a name collision
  7. 1y agosparklyrCatches up with released Spark 4.0; ml_load() reads via Spark
  8. 2y agosparklyrDatabricks autoloader streaming ingestion; R 4.4 fixes
  9. 2y agosparklyrDrops tibble and rappdirs; retires Spark 2.3 JARs
  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 sparklyr?

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

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

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