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Comparison · Infra & APIs

eratosthenes vs simDAG

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

Shared themes:r-package

eratosthenes vs simDAG: at a glance

FeatureeratosthenessimDAG
SectorInfra & APIsInfra & APIs
Velocity score2.52.5
Sparks · 30d00
Top themesarchaeology, bayesian-inference, mcmc, input-validationr-package, causal-inference, dag-simulation, discrete-event-simulation
Last editorial update58m 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 simDAG?

simDAG grew a second simulation engine, then spent two releases surviving upstream breakage.

simDAG generates data from directed acyclic graphs, with a library of node types covering Gaussian, binomial, Poisson, negative binomial, zero-inflated, ordered regression, Cox, and Aalen models. The 1.0.0 milestone opened node_cox() to arbitrary baseline hazard functions, which lets continuous time-dependent hazards drive discrete-event simulations. The two most recent releases exist only to keep the package on CRAN through breakage in lme4 and simr.

Read the full simDAG trajectory →

eratosthenes vs simDAG: 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.

S
simDAG
INFRA · APIS
2.5

simDAG grew a second simulation engine, then spent two releases surviving upstream breakage.

◆ Current state

simDAG generates data from directed acyclic graphs, with a library of node types covering Gaussian, binomial, Poisson, negative binomial, zero-inflated, ordered regression, Cox, and Aalen models. The 1.0.0 milestone opened node_cox() to arbitrary baseline hazard functions, which lets continuous time-dependent hazards drive discrete-event simulations. The two most recent releases exist only to keep the package on CRAN through breakage in lme4 and simr.

◆ Where it's heading

The package has been widening what a simulation can represent rather than deepening any one node. Networks arrived in 0.4.0 so individuals could depend on each other, discrete-event simulation in continuous time arrived in 0.5.0 as an alternative to the discrete-time engine, and 1.0.0 connected the two by letting continuous hazards feed the event-driven path. Alongside that, node types keep accumulating for outcome families the framework could not previously generate.

◆ Prediction

Expect the node library to keep expanding into outcome types the discrete-event engine can now support, though the recent releases suggest upstream dependency churn will keep consuming release slots.

Alternatives to eratosthenes and simDAG

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 simDAG.

See all eratosthenes alternatives → · See all simDAG alternatives →

Recent activity from eratosthenes and simDAG

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

  1. 10d agoeratosthenesInput validators added; seq_check() replaced by seq_diag()
  2. 19d agosimDAGCRAN-retention patch for upstream lme4 breakage
  3. 3mo agosimDAGArbitrary baseline hazards connect node_cox() to discrete-event sims
  4. 4mo agosimDAGTest-only fix for an upstream simr update
  5. 5mo agosimDAGAdds node_polr() for ordinal outcomes and rsurv node support
  6. 7mo agosimDAGAdds continuous-time discrete-event simulation
  7. 10mo agosimDAGAdds link functions to node types and fixes a broken seed default
  8. 1y agoeratosthenesArtifact p.d.f. estimation consolidated into gibbs_ad_type()
  9. 1y agoeratosthenesMCMC diagnostics arrive: traceplots, histograms, batch-means MCSE

Frequently asked questions

What is the difference between eratosthenes and simDAG?

Both compete on the same themes — r-package — within Infra & APIs. eratosthenes and simDAG 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 simDAG?

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

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