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Comparison · Infra & APIs

microeco vs rgm

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

Shared themes:microbiomer-package

microeco vs rgm: at a glance

Featuremicroecorgm
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesmicrobiome, metabolomics, r-package, network-analysismicrobiome, graphical-models, bayesian-inference, cran-maintenance
Last editorial update1d ago1h ago
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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.

Read the full microeco trajectory →

What is rgm?

A microbiome network model that got itself un-archived by deleting the dependency that killed it.

rgm implements the random graphical model for microbiome interactions across related environments, published in JABES in 2026. The package was archived from CRAN in February 2026 because of its dependency on huge; the recovery release drops that dependency entirely, which cost it the graphical-lasso warm start that used to seed the initial graph — the default is now an empty graph, with warm starts left to the user. A post-processing function returning ggplot diagnostics arrived in the same release.

Read the full rgm trajectory →

microeco vs rgm: editorial side-by-side

M
microeco
INFRA · APIS
0.0

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.

R
rgm
INFRA · APIS
0.0

A microbiome network model that got itself un-archived by deleting the dependency that killed it.

◆ Current state

rgm implements the random graphical model for microbiome interactions across related environments, published in JABES in 2026. The package was archived from CRAN in February 2026 because of its dependency on huge; the recovery release drops that dependency entirely, which cost it the graphical-lasso warm start that used to seed the initial graph — the default is now an empty graph, with warm starts left to the user. A post-processing function returning ggplot diagnostics arrived in the same release.

◆ Where it's heading

Three tags shipped inside two hours on one day, and the notes are candid about why: 1.1.0 held the actual work but was never released, 1.2.0 restated it under a higher version to signal the size of the change, and 1.2.1 answered CRAN pre-test feedback. Beyond the archival recovery, the visible work is housekeeping that had accumulated — a shadowed rmvnorm() definition, roxygen import tags that were silently emitting nothing, leftover C++ template scaffolding, and build artifacts under version control. The diagnostics function is the only genuinely new user-facing capability in the window.

◆ Prediction

The immediate task was restoring availability, and that is done; the open question the entries raise is whether losing the graphical-lasso warm start affects convergence in practice, which the new diagnostic plots are positioned to answer.

Alternatives to microeco and rgm

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 microeco or rgm.

See all microeco alternatives → · See all rgm alternatives →

Recent activity from microeco and rgm

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

  1. 1mo agomicroecoNiche and phylogenetic analysis classes join the framework
  2. 3mo agomicroecoPathway calculation, enrichment and network functions build out trans_metab
  3. 3mo agorgmJournal DOI replaces the preprint; promotional wording removed
  4. 3mo agorgmBack on CRAN after dropping the dependency that caused archival
  5. 3mo agorgmUnreleased twin of the CRAN recovery release
  6. 4mo agomicroecotrans_metab class brings metabolomics into a microbiome framework
  7. 6mo agomicroecoStatistical functions gain direct visualization, plus a volcano plot
  8. 9mo agomicroecoggplot2 v4.0 compatibility pass plus network and normalization options
  9. 1y agomicroecoParameter renames and namespace fixes across the trans_ classes
  10. 2y agorgmFirst release: simulation, estimation and post-processing

Frequently asked questions

What is the difference between microeco and rgm?

Both compete on the same themes — microbiome, r-package — within Infra & APIs. microeco and rgm 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 microeco better than rgm?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. microeco and rgm 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 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.

What are the best alternatives to rgm?

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