← Back to home
Comparison · Infra & APIs

metR vs missSBM

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

Shared themes:r-package

metR vs missSBM: at a glance

FeaturemetRmissSBM
SectorInfra & APIsInfra & APIs
Velocity score0.02.5
Sparks · 30d00
Top themesmeteorology, ggplot2, r-package, netcdfr-package, network-analysis, stochastic-block-model, missing-data
Last editorial update49m ago2h 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 missSBM?

missSBM returns after four dormant years with a stricter API and a new refinement step.

The package fits stochastic block models to networks with missing data, covering both missing-at-random and informative sampling designs. After a run of releases from 2019 to 2022, the feed goes quiet until this year's 1.1.0, which breaks the control interface, exposes the block split and merge operations as testable instance methods, and adds a node-swap refinement pass that runs after variational convergence.

Read the full missSBM trajectory →

metR vs missSBM: 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.

M
missSBM
INFRA · APIS
2.5

missSBM returns after four dormant years with a stricter API and a new refinement step.

◆ Current state

The package fits stochastic block models to networks with missing data, covering both missing-at-random and informative sampling designs. After a run of releases from 2019 to 2022, the feed goes quiet until this year's 1.1.0, which breaks the control interface, exposes the block split and merge operations as testable instance methods, and adds a node-swap refinement pass that runs after variational convergence.

◆ Where it's heading

The new release is maintenance-driven in the best sense: it targets the parts of the codebase that were hard to test or easy to misuse. Replacing free-form control lists with a function of named, defaulted arguments turns silent typos into errors, and pulling the exploration logic out of the collection class makes the search algorithm independently testable without changing it. The polish step addresses a known weakness, reaching individually misclassified nodes that split and merge moves cannot fix.

◆ Prediction

Given the gap before this release, the near-term question is whether the cadence resumes at all; the refactoring it contains would support further algorithmic work if it does.

Alternatives to metR and missSBM

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 missSBM.

See all metR alternatives → · See all missSBM alternatives →

Recent activity from metR and missSBM

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

  1. 26d agomissSBMReplaces raw control lists with missSBM_param(), adds polish()
  2. 7mo agometRSubset notation fix in the netCDF reader
  3. 11mo agometRcdo operations, parallel multi-file reads, and a subsetting correctness fix
  4. 1y agometRnetCDF time parsing handed to the CFtime package
  5. 1y agometRnetCDF subsetting by dimension index
  6. 1y agometRLongitude scales pass the transform argument correctly
  7. 1y agometREOF rotation takes a function, and scope narrows
  8. 3y agomissSBMAdapts to Matrix 1.4-2 and fixes HTML5 documentation
  9. 4y agomissSBMFixes linking against nloptR 2.0.0
  10. 5y agomissSBMRelaxes CRAN test tolerances to avoid random failures
  11. 5y agomissSBMRewrites optimisation in C++ armadillo with sparse matrices
  12. 5y agomissSBMRenames core functions and interfaces with the sbm package

Frequently asked questions

What is the difference between metR and missSBM?

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

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

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