Retool
Retool is retiring standalone Assist while folding the same capability into the app builder.
A side-by-side editorial comparison of contagionchannels and FoRecoML — release velocity, themes, recent moves, and the top alternatives to consider.
Three releases in ten days, every one of them a CRAN reviewer's correction rather than a code change.
contagionchannels reached CRAN on 2026-05-08 with a methodology preprint behind it and a cross-quantilogram lineage visible in its citations. What the release feed does not contain is any description of what the package computes: all three entries document the submission process — a licence field reduced from GPL-3 plus file to plain GPL-3, an arXiv reference rewritten in canonical DOI form, and a base-graphics fallback adjusted on a reviewer's request.
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.
contagionchannels reached CRAN on 2026-05-08 with a methodology preprint behind it and a cross-quantilogram lineage visible in its citations. What the release feed does not contain is any description of what the package computes: all three entries document the submission process — a licence field reduced from GPL-3 plus file to plain GPL-3, an arXiv reference rewritten in canonical DOI form, and a base-graphics fallback adjusted on a reviewer's request.
There is no product trajectory to read here yet, only a submission one, and it is unusually well documented — each entry names the reviewer or check that prompted it and quotes the feedback verbatim. That transparency is the one signal available: the maintainer treats review rounds as releases worth publishing rather than squashing. Any judgement about direction will have to wait for a release that changes the package rather than its metadata.
With CRAN acceptance secured, the next release should be the first to carry actual methodological content; until one appears, there is not enough in these entries to say where the package is heading.
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.
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.
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.
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 contagionchannels or FoRecoML.
Retool is retiring standalone Assist while folding the same capability into the app builder.
WPML made machine translation the default, and its point releases keep chasing WordPress and page builders.
A forest plot package that keeps handing users control of one more graphical detail.
Interval-valued data plotting, spending 2026 making its function names and examples survive CRAN.
A microbiome network model that got itself un-archived by deleting the dependency that killed it.
Pipeline provenance for tidyverse workflows, recording what changed at each step without keeping the data.
See all contagionchannels alternatives → · See all FoRecoML alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. contagionchannels 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. contagionchannels 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.
Top contagionchannels alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "contagionchannels alternatives" section above for the current picks, or visit /alternatives/contagionchannels for the full list with editorial commentary on each.
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.