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Comparison · Infra & APIs
carrier vs FoRecoML
A side-by-side editorial comparison of carrier and FoRecoML — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
carrier vs FoRecoML: at a glance
What is carrier?
carrier's 0.3.0 quietly rewrites how crated functions see each other — and breaks code that relied on the old rules.
carrier packages an R function together with the data it needs so it can be shipped to another process or machine. 0.3.0 changed the semantics of functions passed through ...: they are now re-crated inside the main crate environment instead of inheriting from wherever they were defined. That fixes helper functions failing to resolve each other remotely, and stops local environments dragging large objects into the payload.
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.
carrier vs FoRecoML: editorial side-by-side
carrier
0.0INFRA · APIS
carrier's 0.3.0 quietly rewrites how crated functions see each other — and breaks code that relied on the old rules.
◆ Current state
carrier packages an R function together with the data it needs so it can be shipped to another process or machine. 0.3.0 changed the semantics of functions passed through ...: they are now re-crated inside the main crate environment instead of inheriting from wherever they were defined. That fixes helper functions failing to resolve each other remotely, and stops local environments dragging large objects into the payload.
◆ Where it's heading
Each release tightens the boundary between a crate and its surroundings. 0.2.0 introduced .parent_env defaulting to baseenv() to cut the crate off from the global search path and made unnamed ... arguments an error instead of a silent drop; 0.3.0 finishes the job by controlling the environment chain of the packed closures themselves. The package is trading backwards compatibility for predictable, self-contained payloads — a reasonable bet for something whose failures otherwise surface on a remote worker.
◆ Prediction
The 0.1.0 notes promised an automatic dependency-detection mode to replace explicit packing; nothing since has delivered it, and with the environment semantics now settled that is the obvious next move — though the entries give no date for it.
FoRecoML
0.0INFRA · APIS
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.
Alternatives to carrier and FoRecoML
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 carrier or FoRecoML.
forestploter
A forest plot package that keeps handing users control of one more graphical detail.
ggInterval
Interval-valued data plotting, spending 2026 making its function names and examples survive CRAN.
rgm
A microbiome network model that got itself un-archived by deleting the dependency that killed it.
contagionchannels
Three releases in ten days, every one of them a CRAN reviewer's correction rather than a code change.
tidyaudit
Pipeline provenance for tidyverse workflows, recording what changed at each step without keeping the data.
See all carrier alternatives → · See all FoRecoML alternatives →
Recent activity from carrier and FoRecoML
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoFoRecoMLStructured print and summary for fitted reconciliation models
- 1mo agoFoRecoMLAdopts FoReco's foreco class for all reconciliation output
- 3mo agoFoRecoMLMachine-learning forecast reconciliation arrives on CRAN ⚡
- 11mo agocarrierCrated helper functions can now see each other ⚡
- 1y agocarriercrate() gains .parent_env and stricter argument handling
- 3y agocarrierSource references dropped from crated functions
- 4y agocarrierInitial release with explicit-only crate packing
Frequently asked questions
What is the difference between carrier and FoRecoML?
Both compete on the same themes — r-package — within Infra & APIs. carrier and FoRecoML 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 carrier better than FoRecoML?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. carrier and FoRecoML 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 Infra & APIs products to evaluate alongside.
What are the best alternatives to carrier?
Top carrier alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "carrier alternatives" section above for the current picks, or visit /alternatives/carrier for the full list with editorial commentary on each.
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.