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Comparison · Infra & APIs

FoRecoML vs q2

A side-by-side editorial comparison of FoRecoML and q2 — release velocity, themes, recent moves, and the top alternatives to consider.

FoRecoML vs q2: at a glance

FeatureFoRecoMLq2
SectorInfra & APIsInfra & APIs
Velocity score0.06.3
Sparks · 30d01
Top themesforecasting, machine-learning, hierarchical-reconciliation, time-seriesrust-rewrite, publishing-toolchain, quarto, theming
Last editorial update52m ago14h 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 q2?

After two releases pulling ahead, q2 spends v0.23.0 back on parity: light/dark theming.

q2 is the Quarto team's Rust reimplementation of the publishing toolchain, shipping as a statically linked single binary with minisign-signed archives and a bundled Quarto Hub MCP server, still marked experimental and not production-ready. The cadence holds at roughly a release a day through mid-August, with raw commit logs standing in for curated notes. v0.22.0 was the break in the pattern — llms.txt site output and a live-share preview, the first capability the original toolchain does not have. v0.23.0 goes straight back to closing the parity gap, and does it at epic scale.

Read the full q2 trajectory →

FoRecoML vs q2: 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.

Q
q2
INFRA · APIS
6.3

After two releases pulling ahead, q2 spends v0.23.0 back on parity: light/dark theming.

◆ Current state

q2 is the Quarto team's Rust reimplementation of the publishing toolchain, shipping as a statically linked single binary with minisign-signed archives and a bundled Quarto Hub MCP server, still marked experimental and not production-ready. The cadence holds at roughly a release a day through mid-August, with raw commit logs standing in for curated notes. v0.22.0 was the break in the pattern — llms.txt site output and a live-share preview, the first capability the original toolchain does not have. v0.23.0 goes straight back to closing the parity gap, and does it at epic scale.

◆ Where it's heading

The light-dark epic is the shape of how this team retires a Quarto 1 feature: a design doc, then ThemeConfig growing a parsed dark variant, dual theme compilation with color-scheme emission, attributed stylesheet links, a color-mode toggle runtime, an accessibility-aware highlight-style reader, a brand light/dark seam, and an end-to-end verification pass against quarto-web before the docs land. One phase (D) was deferred with its options recorded rather than dropped. Around it, panel-tabset support lands, format.html.css is finally copied and rebased per page, and the llms companion output gains a link-format attribute so authors control where companion links point — the one thread tying this release back to the v0.22.0 work.

◆ Prediction

Expect the remaining Q1 parity items to keep setting the release agenda, with the deferred light-dark phase D and the freshly opened panel-tabset plan the two named strands most likely to fill the next few tags. npx distribution for the standalone Quarto Hub MCP bundle is still the only distribution item the notes explicitly call planned.

Alternatives to FoRecoML and q2

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 q2.

See all FoRecoML alternatives → · See all q2 alternatives →

Recent activity from FoRecoML and q2

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

  1. 1d agoq2Light/dark themes with a color-mode toggle; panel-tabset support
  2. 4d agoq2llms.txt site output and a live-share collaborative preview
  3. 5d agoq2TOC entries carry inline markup; draft banner restored
  4. 6d agoq2Adds alias redirect stubs and diagnostic suppression
  5. 7d agoq2Bumps samod and automerge; fixes indented continuations
  6. 7d agoq2Lua filters supported; mermaid bundled instead of CDN-loaded
  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 q2?

They serve adjacent needs but don't currently overlap on shipped themes. q2 is currently shipping more aggressively (velocity 6.3 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 q2?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. q2 is currently shipping more aggressively (velocity 6.3 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 q2?

Top q2 alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "q2 alternatives" section above for the current picks, or visit /alternatives/q2 for the full list with editorial commentary on each.