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Comparison · Infra & APIs
FoRecoML vs microeco
A side-by-side editorial comparison of FoRecoML and microeco — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
FoRecoML vs microeco: at a glance
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.
What is microeco?
A microbiome analysis framework quietly grew a metabolomics half
microeco is a class-based R framework for microbial community data, organised as trans_* analysis objects layered over a microtable container. The 2.x line added trans_metab for metabolomics in 2.1.0, built pathway calculation, enrichment and network functions onto it in 2.2.0, and reached 2.3.0 with trans_niche and trans_phylo classes plus graphml export from the network module. Release notes are dense bullet lists where a handful of new classes sit among fifteen to twenty parameter fixes.
FoRecoML vs microeco: editorial side-by-side
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.
microeco
0.0INFRA · APIS
A microbiome analysis framework quietly grew a metabolomics half
◆ Current state
microeco is a class-based R framework for microbial community data, organised as trans_* analysis objects layered over a microtable container. The 2.x line added trans_metab for metabolomics in 2.1.0, built pathway calculation, enrichment and network functions onto it in 2.2.0, and reached 2.3.0 with trans_niche and trans_phylo classes plus graphml export from the network module. Release notes are dense bullet lists where a handful of new classes sit among fifteen to twenty parameter fixes.
◆ Where it's heading
The package expands by adding analysis classes rather than rewriting existing ones, and the 2.x series widened its scope from microbial community structure to paired omics. trans_metab was the pivot; niche and phylogenetic classes in 2.3.0 extend the original microbiome side in parallel. Alongside that, a long maintenance thread tracks upstream churn - linewidth replacing size for ggplot2 v4.0, igraph namespace changes, lifecycle deprecations - which accounts for most of the bullet volume in any given release.
◆ Prediction
Expect further trans_* classes filling gaps around the metabolomics arm, since every 2.x release so far has introduced at least one new class alongside its fix list.
Alternatives to FoRecoML and microeco
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 microeco.
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 FoRecoML alternatives → · See all microeco alternatives →
Recent activity from FoRecoML and microeco
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoFoRecoMLStructured print and summary for fitted reconciliation models
- 1mo agomicroecoNiche and phylogenetic analysis classes join the framework
- 1mo agoFoRecoMLAdopts FoReco's foreco class for all reconciliation output
- 3mo agomicroecoPathway calculation, enrichment and network functions build out trans_metab
- 3mo agoFoRecoMLMachine-learning forecast reconciliation arrives on CRAN ⚡
- 4mo agomicroecotrans_metab class brings metabolomics into a microbiome framework ⚡
- 6mo agomicroecoStatistical functions gain direct visualization, plus a volcano plot
- 9mo agomicroecoggplot2 v4.0 compatibility pass plus network and normalization options
- 1y agomicroecoParameter renames and namespace fixes across the trans_ classes
Frequently asked questions
What is the difference between FoRecoML and microeco?
Both compete on the same themes — r-package — within Infra & APIs. FoRecoML and microeco 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 FoRecoML better than microeco?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. FoRecoML and microeco 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 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 microeco?
Top microeco alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "microeco alternatives" section above for the current picks, or visit /alternatives/microeco for the full list with editorial commentary on each.