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Comparison · Infra & APIs

FoRecoML vs inti

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

Shared themes:r-package

FoRecoML vs inti: at a glance

FeatureFoRecoMLinti
SectorInfra & APIsInfra & APIs
Velocity score0.02.5
Sparks · 30d00
Top themesforecasting, machine-learning, hierarchical-reconciliation, time-seriesplant-science, pca, shiny, reproducible-reporting
Last editorial update54m ago1h 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 inti?

inti keeps compounding small statistics and publishing tools for plant-science labs.

inti bundles the tooling a plant-science lab uses end to end: the Yupana analysis app, the Tarpuy experiment planner, scihub and rticle document rendering, and helpers for ANOVA and heritability. The 0.7.x line has been dominated by one thread, a PCA sub-module in Yupana carrying variable contribution, dimension correlation, supplementary variables and per-dimension selection. Releases are cumulative: 0.7.0, 0.7.1 and 0.7.2 all restate the same PCA lines, with each tag adding a few items on top, and 0.7.0 itself is split across two tags published 35 seconds apart.

Read the full inti trajectory →

FoRecoML vs inti: 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.

I
inti
INFRA · APIS
2.5

inti keeps compounding small statistics and publishing tools for plant-science labs.

◆ Current state

inti bundles the tooling a plant-science lab uses end to end: the Yupana analysis app, the Tarpuy experiment planner, scihub and rticle document rendering, and helpers for ANOVA and heritability. The 0.7.x line has been dominated by one thread, a PCA sub-module in Yupana carrying variable contribution, dimension correlation, supplementary variables and per-dimension selection. Releases are cumulative: 0.7.0, 0.7.1 and 0.7.2 all restate the same PCA lines, with each tag adding a few items on top, and 0.7.0 itself is split across two tags published 35 seconds apart.

◆ Where it's heading

Two axes are moving. Analysis is deepening inside Yupana, where PCA went from a single view to a sub-module with its own contribution and correlation outputs across three tags. Publishing is widening around rticle() and scihub(), which now handle Google Docs markdown, crossrefs and page numbers, continuing the gdocs2qmd work from the 0.6 line. Neither is a change of direction; the package accretes features where the maintainer's own research workflow needs them.

◆ Prediction

Expect the next tag to extend the PCA sub-module again and add another rticle() or scihub() rendering detail, on the two-to-six-week cadence the 0.7 line has held.

Alternatives to FoRecoML and inti

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 inti.

See all FoRecoML alternatives → · See all inti alternatives →

Recent activity from FoRecoML and inti

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

  1. 22d agointiscihub() gains pages, rticle() improves crossrefs
  2. 1mo agoFoRecoMLStructured print and summary for fitted reconciliation models
  3. 1mo agoFoRecoMLAdopts FoReco's foreco class for all reconciliation output
  4. 1mo agointi0.7.1 restates the 0.7.0 PCA and Tarpuy notes
  5. 2mo agointiPCA sub-module adds contribution and dimension correlation
  6. 2mo agointiNew rticle() renders Google Docs markdown into articles
  7. 3mo agoFoRecoMLMachine-learning forecast reconciliation arrives on CRAN
  8. 10mo agointiH2cal() takes factors as a formula; scihub() templates updated
  9. 11mo agointiSciHub RStudio addin arrives; gdocs2qmd table export fixed

Frequently asked questions

What is the difference between FoRecoML and inti?

Both compete on the same themes — r-package — within Infra & APIs. inti is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 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 inti?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. inti is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 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 inti?

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