exametrika
A test-theory package that grew into a graphical-model toolkit, now spending its releases paying down the API debt that growth created.
A side-by-side editorial comparison of EDAForge and simDAG — release velocity, themes, recent moves, and the top alternatives to consider.
EDAForge is a data-quality auditor renamed mid-flight, still finding its CRAN footing.
EDAForge's release feed shows a package changing identity between its first two tags. The v0.1.0 notes describe DataAudit, a data-quality auditing package built around audit_data(), reusable audit_rules() and audit_score(), with install instructions still pointing at vinodhpmd/DataAudit, while the repository now serves EDAForge. Only three tags exist, one of which is a bare compare link with no notes, and the most recent is a CRAN-policy cleanup rather than feature work.
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.
EDAForge's release feed shows a package changing identity between its first two tags. The v0.1.0 notes describe DataAudit, a data-quality auditing package built around audit_data(), reusable audit_rules() and audit_score(), with install instructions still pointing at vinodhpmd/DataAudit, while the repository now serves EDAForge. Only three tags exist, one of which is a bare compare link with no notes, and the most recent is a CRAN-policy cleanup rather than feature work.
The substance so far is all in the DataAudit-named 0.1.0: more than a dozen check families spanning missing values, duplicates, ranges, patterns, dependencies and grouped sequences, wrapped in a structured report object with print and summary methods. The 0.1.1 that follows removes a default output path, moves examples to tempdir() and adds an introductory vignette, which is the standard shape of a package being made acceptable to CRAN. The public identity is currently ahead of the release notes, so a reader arriving at the feed cannot tell from it what EDAForge does.
Expect the next tag to align the notes with the EDAForge name and add exploratory-analysis functions alongside the auditing core; the compliance pass in 0.1.1 points at a CRAN submission as the near-term goal.
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.
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.
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.
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 EDAForge or simDAG.
A test-theory package that grew into a graphical-model toolkit, now spending its releases paying down the API debt that growth created.
nuggets keeps compounding on the 2.0 rewrite — more pattern families, lighter install.
projoint spent a year on CRAN paperwork, then shipped a correctness fix it flagged itself.
eratosthenes spends 0.1.0 hardening inputs rather than adding chronology methods.
dqcheckr adds drift analysis, then removes the YAML a user had to hand-write.
An actuarial mainstay spends its releases on CI plumbing, not on new mathematics.
See all EDAForge alternatives → · See all simDAG alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. EDAForge is currently shipping more aggressively (velocity 5.0 vs 2.5), 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. EDAForge is currently shipping more aggressively (velocity 5.0 vs 2.5), 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.
Top EDAForge alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "EDAForge alternatives" section above for the current picks, or visit /alternatives/edaforge for the full list with editorial commentary on each.
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.