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cmdstanpy vs StatsBase.jl

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

cmdstanpy vs StatsBase.jl: at a glance

FeaturecmdstanpyStatsBase.jl
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesbayesian, stan, mcmc, deprecationsjulia, statistics, maintenance, dependency bumps
Last editorial update1h ago2h ago
WebsiteVisit →Visit →

What is cmdstanpy?

CmdStanPy is clearing deprecations ahead of a 2.0 it keeps announcing.

CmdStanPy is at v1.3.0, which added a diagnose method on CmdStanModel, sampler timing information, create_inits() across the stanfit classes, and much faster MCMC CSV parsing. Every release in this window opens with the same notice: the next non-bugfix release will be 2.0 and will remove existing deprecations. In line with that, 1.3.0 drops Python 3.8 and renames the metric argument to inv_metric.

Read the full cmdstanpy trajectory →

What is StatsBase.jl?

StatsBase.jl is in caretaker mode — correctness fixes in, dependency bumps out.

StatsBase.jl is deep in the 0.34 patch series, releasing every few months with changes that are either small correctness fixes or bot-authored dependency bumps. The most substantive recent release, 0.34.10, fixed weighted sampling with UnitWeights, sped up unweighted ecdf, and widened quantile to accept non-Real element types. Since then the tags have thinned to CI action bumps and a diff-only note.

Read the full StatsBase.jl trajectory →

cmdstanpy vs StatsBase.jl: editorial side-by-side

C
cmdstanpy
ANALYTICS
0.0

CmdStanPy is clearing deprecations ahead of a 2.0 it keeps announcing.

◆ Current state

CmdStanPy is at v1.3.0, which added a diagnose method on CmdStanModel, sampler timing information, create_inits() across the stanfit classes, and much faster MCMC CSV parsing. Every release in this window opens with the same notice: the next non-bugfix release will be 2.0 and will remove existing deprecations. In line with that, 1.3.0 drops Python 3.8 and renames the metric argument to inv_metric.

◆ Where it's heading

The package tracks upstream Stan and prepares for its own break. New inference methods arrive as Stan ships them — Laplace with Stan 2.32, Pathfinder with 2.33 — while the interface work is mostly deprecation staging and CSV input-output performance. The repeated 2.0 warning across two years of releases suggests the cut has been deferred more than once.

◆ Prediction

The notice at the top of every release points to 2.0 as the next non-bugfix version, removing the deprecations staged here including the metric argument.

S
StatsBase.jl
ANALYTICS
0.0

StatsBase.jl is in caretaker mode — correctness fixes in, dependency bumps out.

◆ Current state

StatsBase.jl is deep in the 0.34 patch series, releasing every few months with changes that are either small correctness fixes or bot-authored dependency bumps. The most substantive recent release, 0.34.10, fixed weighted sampling with UnitWeights, sped up unweighted ecdf, and widened quantile to accept non-Real element types. Since then the tags have thinned to CI action bumps and a diff-only note.

◆ Where it's heading

This is the shape of a foundational Julia package that has reached its intended scope: the API is settled, and maintenance means keeping compat bounds current and closing long-tail correctness issues raised by users. Nothing in the feed suggests new statistical capability is being staged. The most likely reason is that new work now lands in the downstream packages that build on StatsBase rather than in StatsBase itself.

◆ Prediction

Expect more 0.34.x patches on the same rhythm — CompatHelper bumps and occasional user-reported edge-case fixes — with no signal in these entries that a 0.35 or 1.0 is being prepared.

Alternatives to cmdstanpy and StatsBase.jl

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 cmdstanpy or StatsBase.jl.

See all cmdstanpy alternatives → · See all StatsBase.jl alternatives →

Recent activity from cmdstanpy and StatsBase.jl

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

  1. 1mo agoStatsBase.jlv0.34.12
  2. 2mo agoStatsBase.jlv0.34.11
  3. 7mo agoStatsBase.jl0.34.10: faster unweighted ecdf and quantile on non-Real element types
  4. 9mo agocmdstanpydiagnose method, sampler timings and faster CSV parsing
  5. 2y agocmdstanpyFixes from_csv() for CmdStan 2.35 and later
  6. 2y agocmdstanpyCmdStan 2.35 test fixes and multi-chain profile output
  7. 2y agocmdstanpypyproject.toml build and pathfinder() argument fixes
  8. 2y agocmdstanpyNew Pathfinder arguments and warmup without adaptation
  9. 2y agocmdstanpyLaplace method and Pathfinder exposed from upstream Stan

Frequently asked questions

What is the difference between cmdstanpy and StatsBase.jl?

They serve adjacent needs but don't currently overlap on shipped themes. cmdstanpy and StatsBase.jl 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 cmdstanpy better than StatsBase.jl?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. cmdstanpy and StatsBase.jl 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 cmdstanpy?

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

What are the best alternatives to StatsBase.jl?

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