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modeltime vs StatsBase.jl

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

modeltime vs StatsBase.jl: at a glance

FeaturemodeltimeStatsBase.jl
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesforecasting, conformal-prediction, tidymodels, parallelismjulia, statistics, maintenance, dependency bumps
Last editorial update58m ago2h ago
WebsiteVisit →Visit →

What is modeltime?

modeltime built conformal intervals in, then went quiet on features.

modeltime is at 1.3.3, a single change making the package robust to xgboost version shifts. The feature weight sits in 1.3.2, which added a future-based parallel backend, the maape() accuracy metric and dials helpers for ADAM engine tuning, and further back in the 1.2.8 and 1.3.0 pair that introduced conformal prediction intervals and then carried them through the nested forecasting workflow.

Read the full modeltime 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 →

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

M
modeltime
ANALYTICS
0.0

modeltime built conformal intervals in, then went quiet on features.

◆ Current state

modeltime is at 1.3.3, a single change making the package robust to xgboost version shifts. The feature weight sits in 1.3.2, which added a future-based parallel backend, the maape() accuracy metric and dials helpers for ADAM engine tuning, and further back in the 1.2.8 and 1.3.0 pair that introduced conformal prediction intervals and then carried them through the nested forecasting workflow.

◆ Where it's heading

The arc runs from uncertainty quantification to execution. Conformal intervals arrived first and were then threaded through nested fitting, refitting and the printed forecast tables so users can see which confidence method produced an interval. The later work moves down a layer to how forecasts are computed — a portable future backend replacing foreach tuning — rather than what they express.

◆ Prediction

With only an xgboost compatibility fix since the 1.3.2 feature release, the entries do not support a confident prediction about what comes next beyond continued dependency maintenance.

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 modeltime 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 modeltime or StatsBase.jl.

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

Recent activity from modeltime 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. 7mo agomodeltimeRobustness to xgboost version changes
  5. 11mo agomodeltimefuture parallel backend, maape() metric and ADAM tuning helpers
  6. 2y agomodeltimeConformal intervals reach the nested forecasting workflow
  7. 2y agomodeltimeConformal prediction intervals introduced
  8. 3y agomodeltimeFixes the Smooth es() model
  9. 3y agomodeltimeFixes failing developer-tools tests

Frequently asked questions

What is the difference between modeltime and StatsBase.jl?

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

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

Top modeltime alternatives in Analytics are ranked by recent ship velocity. Browse the "modeltime alternatives" section above for the current picks, or visit /alternatives/modeltime 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.