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Comparison · Infra & APIs

FoRecoML vs Windmill

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

FoRecoML vs Windmill: at a glance

FeatureFoRecoMLWindmill
SectorInfra & APIsInfra & APIs
Velocity score0.08.8
Sparks · 30d01
Top themesforecasting, machine-learning, hierarchical-reconciliation, time-seriesworkflow orchestration, dbt, open core, ai sessions
Last editorial update52m ago1d ago
WebsiteVisit →Visit →

What is FoRecoML?

The machine-learning arm of a forecast reconciliation toolkit, four months old and already sharing its sibling's plumbing.

FoRecoML brings machine-learning approaches to forecast reconciliation across cross-sectional, temporal, and cross-temporal frameworks through csrml(), terml(), and ctrml(). It reached CRAN in April 2026 and has since spent both releases integrating with FoReco rather than expanding its own method set: results are now FoReco's foreco objects, and print() and summary() report framework, approach, problem dimensions, features, training sample size, combination matrix, and trained models.

Read the full FoRecoML trajectory →

What is Windmill?

Windmill gave away the warehouse connectors and now runs dbt natively — the trial is the strategy.

Two lines are moving at once. The platform line made dbt projects a first-class runtime, unified the deployment target on workspace lineage, opened Compare & Deploy to arbitrary target workspaces, and moved BigQuery and Snowflake out from behind the Enterprise license. The AI line took sessions to beta on by default and has been adding controls around them since — file attachments, visible web-search sources, artifact version history, and now a read-only plan mode that refuses anything that writes or deploys until you approve a plan.

Read the full Windmill trajectory →

FoRecoML vs Windmill: editorial side-by-side

F
FoRecoML
INFRA · APIS
0.0

The machine-learning arm of a forecast reconciliation toolkit, four months old and already sharing its sibling's plumbing.

◆ Current state

FoRecoML brings machine-learning approaches to forecast reconciliation across cross-sectional, temporal, and cross-temporal frameworks through csrml(), terml(), and ctrml(). It reached CRAN in April 2026 and has since spent both releases integrating with FoReco rather than expanding its own method set: results are now FoReco's foreco objects, and print() and summary() report framework, approach, problem dimensions, features, training sample size, combination matrix, and trained models.

◆ Where it's heading

This package is being built as a satellite, not a competitor. Adopting FoReco's exported new_foreco_class() constructor within days of that class appearing means FoRecoML results drop straight into the same print, summary, plot, and components methods as analytically reconciled ones — which is what makes machine-learning and classical reconciliation directly comparable in a single workflow. The 1.1.1 argument-validation work landed in the same minute as the equivalent change in FoReco, so the two are being maintained as one release train.

◆ Prediction

With the integration work done, the next release is more likely to add or expose machine-learning approaches than to keep reshaping output; the structured summary already enumerates features and trained models, which suggests inspection tooling is where attention has been.

W
Windmill
INFRA · APIS
8.8

Windmill gave away the warehouse connectors and now runs dbt natively — the trial is the strategy.

◆ Current state

Two lines are moving at once. The platform line made dbt projects a first-class runtime, unified the deployment target on workspace lineage, opened Compare & Deploy to arbitrary target workspaces, and moved BigQuery and Snowflake out from behind the Enterprise license. The AI line took sessions to beta on by default and has been adding controls around them since — file attachments, visible web-search sources, artifact version history, and now a read-only plan mode that refuses anything that writes or deploys until you approve a plan.

◆ Where it's heading

Windmill is positioning as the place a data team's existing work already runs rather than a system to be ported to: an unmodified dbt project drops in, its models become addressable assets with ref() lineage, and the warehouse languages needed to reach them are no longer paywalled. In parallel, the AI session work is maturing from capability to governance — the recent additions are all about reviewability and constraint, not raw autonomy. The deployment changes point the same way, collapsing configurable targets into a single derived answer.

◆ Prediction

Expect the plan-and-approve posture to spread beyond session chats into the durable AI surfaces, and more warehouse-adjacent runtimes to follow dbt into the first-class treatment; Oracle and MS SQL remain the obvious Enterprise holdouts to watch.

Alternatives to FoRecoML and Windmill

Other Infra & APIs 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 FoRecoML or Windmill.

See all FoRecoML alternatives → · See all Windmill alternatives →

Recent activity from FoRecoML and Windmill

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

  1. 5d agoWindmillPlan mode for AI sessions
  2. 8d agoWindmillNested filter groups and dotted paths in trigger filters
  3. 9d agoWindmillVersion history for AI session artifacts
  4. 18d agoWindmillRun dbt projects as a first-class Windmill runtime
  5. 20d agoWindmillOne deployment target, derived from the workspace lineage
  6. 20d agoWindmillCompare & Deploy into any workspace
  7. 1mo agoFoRecoMLStructured print and summary for fitted reconciliation models
  8. 1mo agoFoRecoMLAdopts FoReco's foreco class for all reconciliation output
  9. 3mo agoFoRecoMLMachine-learning forecast reconciliation arrives on CRAN

Frequently asked questions

What is the difference between FoRecoML and Windmill?

They serve adjacent needs but don't currently overlap on shipped themes. Windmill is currently shipping more aggressively (velocity 8.8 vs 0.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is FoRecoML better than Windmill?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Windmill is currently shipping more aggressively (velocity 8.8 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.

What are the best alternatives to FoRecoML?

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

What are the best alternatives to Windmill?

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