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Comparison · Infra & APIs

metR vs rgm

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

Shared themes:r-package

metR vs rgm: at a glance

FeaturemetRrgm
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesmeteorology, ggplot2, r-package, netcdfmicrobiome, graphical-models, bayesian-inference, cran-maintenance
Last editorial update1d ago1h ago
WebsiteVisit →Visit →

What is metR?

A meteorology ggplot2 extension where the netCDF reader became the main event

metR supplies meteorological and oceanographic tools for R: contour and streamline geoms, EOF decomposition, wave fitting, and ReadNetCDF() for getting gridded data in. Development has concentrated heavily on that reader. Version 0.18.0 added subsetting by dimension index, so the first or last ten timesteps can be read without knowing how many exist; 0.18.1 moved time parsing to the CFtime package; 0.18.2 added cdo operations through rcdo and reading across multiple files in parallel, and fixed a subsetting bug where nearest-gridpoint matching could return data outside the requested range entirely.

Read the full metR 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 →

metR vs rgm: editorial side-by-side

M
metR
INFRA · APIS
0.0

A meteorology ggplot2 extension where the netCDF reader became the main event

◆ Current state

metR supplies meteorological and oceanographic tools for R: contour and streamline geoms, EOF decomposition, wave fitting, and ReadNetCDF() for getting gridded data in. Development has concentrated heavily on that reader. Version 0.18.0 added subsetting by dimension index, so the first or last ten timesteps can be read without knowing how many exist; 0.18.1 moved time parsing to the CFtime package; 0.18.2 added cdo operations through rcdo and reading across multiple files in parallel, and fixed a subsetting bug where nearest-gridpoint matching could return data outside the requested range entirely.

◆ Where it's heading

Two threads run through the releases. The first is tracking ggplot2, absorbing the linewidth aesthetic, the trans to transform rename and guide compatibility as each landed upstream. The second is narrowing scope while deepening the data path: GetSMNData() was made defunct as too specific for a general package, raster and gdal dependencies were removed, and the udunits2 dependency was dropped when it was orphaned, initially replaced by a homebrewed date parser and eventually by CFtime. The result is a package steadily shedding its own code in favour of specialised upstream libraries.

◆ Prediction

Expect further ReadNetCDF() work, since it has received features in four of the last five releases and the rcdo integration opens a large surface of operations to expose.

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 metR 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 metR or rgm.

See all metR alternatives → · See all rgm alternatives →

Recent activity from metR and rgm

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

  1. 3mo agorgmJournal DOI replaces the preprint; promotional wording removed
  2. 3mo agorgmBack on CRAN after dropping the dependency that caused archival
  3. 3mo agorgmUnreleased twin of the CRAN recovery release
  4. 7mo agometRSubset notation fix in the netCDF reader
  5. 11mo agometRcdo operations, parallel multi-file reads, and a subsetting correctness fix
  6. 1y agometRnetCDF time parsing handed to the CFtime package
  7. 1y agometRnetCDF subsetting by dimension index
  8. 1y agometRLongitude scales pass the transform argument correctly
  9. 1y agometREOF rotation takes a function, and scope narrows
  10. 2y agorgmFirst release: simulation, estimation and post-processing

Frequently asked questions

What is the difference between metR and rgm?

Both compete on the same themes — r-package — within Infra & APIs. metR 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 metR better than rgm?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. metR 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 metR?

Top metR alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "metR alternatives" section above for the current picks, or visit /alternatives/metr 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.