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Comparison · Infra & APIs

eratosthenes vs missSBM

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

Shared themes:r-package

eratosthenes vs missSBM: at a glance

FeatureeratosthenesmissSBM
SectorInfra & APIsInfra & APIs
Velocity score2.52.5
Sparks · 30d00
Top themesarchaeology, bayesian-inference, mcmc, input-validationr-package, network-analysis, stochastic-block-model, missing-data
Last editorial update1h ago1d ago
WebsiteVisit →Visit →

What is eratosthenes?

eratosthenes spends 0.1.0 hardening inputs rather than adding chronology methods.

eratosthenes does Bayesian estimation of archaeological chronologies from relative sequences, absolute constraints and artifact assemblages. The 0.0.9 line built out the inference diagnostics — traceplots, histograms, batch-means MCSE reporting, displacement estimation — and then consolidated artifact probability-density estimation into a single gibbs_ad_type(). The 0.1.0 tag turns outward instead, adding validators for every user-supplied structure and replacing seq_check() with a more informative seq_diag().

Read the full eratosthenes 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 →

eratosthenes vs missSBM: editorial side-by-side

E
eratosthenes
INFRA · APIS
2.5

eratosthenes spends 0.1.0 hardening inputs rather than adding chronology methods.

◆ Current state

eratosthenes does Bayesian estimation of archaeological chronologies from relative sequences, absolute constraints and artifact assemblages. The 0.0.9 line built out the inference diagnostics — traceplots, histograms, batch-means MCSE reporting, displacement estimation — and then consolidated artifact probability-density estimation into a single gibbs_ad_type(). The 0.1.0 tag turns outward instead, adding validators for every user-supplied structure and replacing seq_check() with a more informative seq_diag().

◆ Where it's heading

The package is moving from research code to something a non-author can run. Consolidating estimation behind one function, then wrapping every input class in a validator, are the two steps that make failures legible instead of cryptic, and the diagnostics added earlier serve the same end for the sampler itself. Nothing in the window changes the underlying model; the work is all about making it usable and its output checkable.

◆ Prediction

With inputs validated and diagnostics in place, the next release is more likely to extend the constraint or assemblage modelling than to keep reworking the interface, though the feed's three sparse tags give little to read a cadence from.

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 eratosthenes 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 eratosthenes or missSBM.

See all eratosthenes alternatives → · See all missSBM alternatives →

Recent activity from eratosthenes and missSBM

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

  1. 10d agoeratosthenesInput validators added; seq_check() replaced by seq_diag()
  2. 27d agomissSBMReplaces raw control lists with missSBM_param(), adds polish()
  3. 1y agoeratosthenesArtifact p.d.f. estimation consolidated into gibbs_ad_type()
  4. 1y agoeratosthenesMCMC diagnostics arrive: traceplots, histograms, batch-means MCSE
  5. 3y agomissSBMAdapts to Matrix 1.4-2 and fixes HTML5 documentation
  6. 4y agomissSBMFixes linking against nloptR 2.0.0
  7. 5y agomissSBMRelaxes CRAN test tolerances to avoid random failures
  8. 5y agomissSBMRewrites optimisation in C++ armadillo with sparse matrices
  9. 5y agomissSBMRenames core functions and interfaces with the sbm package

Frequently asked questions

What is the difference between eratosthenes and missSBM?

Both compete on the same themes — r-package — within Infra & APIs. eratosthenes and missSBM are shipping at a similar cadence (velocity 2.5 vs 2.5, 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 eratosthenes better than missSBM?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. eratosthenes and missSBM are shipping at a similar cadence (velocity 2.5 vs 2.5, 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 eratosthenes?

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