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Comparison · Infra & APIs
L1centrality vs simDAG
A side-by-side editorial comparison of L1centrality and simDAG — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
L1centrality vs simDAG: at a glance
What is L1centrality?
A graph-centrality package that spent 2026 making its existing measures usable at scale, then went quiet.
L1centrality implements L1 centrality and prestige for graphs, including group, local, and neighbourhood variants plus MDS-based visualization. The measure set has been stable since 0.3.0; the work since has gone into interfaces around it — S3 classes with print and summary methods, plot methods for every result class, and in 0.5.0 both multi-group evaluation and multicore computation for the local variant. The two releases since have been a warning-message pass and a typo pass.
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.
L1centrality vs simDAG: editorial side-by-side
L1centrality
0.0INFRA · APIS
A graph-centrality package that spent 2026 making its existing measures usable at scale, then went quiet.
◆ Current state
L1centrality implements L1 centrality and prestige for graphs, including group, local, and neighbourhood variants plus MDS-based visualization. The measure set has been stable since 0.3.0; the work since has gone into interfaces around it — S3 classes with print and summary methods, plot methods for every result class, and in 0.5.0 both multi-group evaluation and multicore computation for the local variant. The two releases since have been a warning-message pass and a typo pass.
◆ Where it's heading
The package has moved from defining measures to operationalizing them. 0.5.0 was the inflection: parallel local computation and list-valued group input both target users running these measures over many vertex sets or large graphs rather than illustrating them on one. The same release renamed weight_transform and eta to edge_weight_transform and vertex_weight, and added an explicit message when a distance matrix is received — the signature of a maintainer fielding the same misuse repeatedly.
◆ Prediction
The last two releases carry no functional change, so the near-term path is maintenance rather than new measures; a 0.6.0 would most likely extend parallelism beyond L1centLOC to the other computationally heavy variants.
simDAG
2.5INFRA · APIS
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 L1centrality 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 L1centrality or simDAG.
forestploter
A forest plot package that keeps handing users control of one more graphical detail.
ggInterval
Interval-valued data plotting, spending 2026 making its function names and examples survive CRAN.
rgm
A microbiome network model that got itself un-archived by deleting the dependency that killed it.
contagionchannels
Three releases in ten days, every one of them a CRAN reviewer's correction rather than a code change.
tidyaudit
Pipeline provenance for tidyverse workflows, recording what changed at each step without keeping the data.
See all L1centrality alternatives → · See all simDAG alternatives →
Recent activity from L1centrality and simDAG
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 19d agosimDAGCRAN-retention patch for upstream lme4 breakage
- 1mo agoL1centralityTypo fixes only
- 3mo agosimDAGArbitrary baseline hazards connect node_cox() to discrete-event sims
- 3mo agoL1centralityWarning message wording updated
- 3mo agoL1centralityMulti-group prominence and multicore local centrality
- 4mo agosimDAGTest-only fix for an upstream simr update
- 5mo agosimDAGAdds node_polr() for ordinal outcomes and rsurv node support
- 7mo agosimDAGAdds continuous-time discrete-event simulation ⚡
- 9mo agoL1centralityPlot methods for every result class, plus edge-weight transforms
- 10mo agosimDAGAdds link functions to node types and fixes a broken seed default
- 1y agoL1centralityHandles unnamed vertices; quantile type pinned
- 1y agoL1centralityS3 classes for all results, plus a Gini coefficient
Frequently asked questions
What is the difference between L1centrality and simDAG?
Both compete on the same themes — r-package — within Infra & APIs. simDAG 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 L1centrality better than simDAG?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. simDAG 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 L1centrality?
Top L1centrality alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "L1centrality alternatives" section above for the current picks, or visit /alternatives/l1centrality 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.