Basedash
Basedash keeps pushing its data out of the workspace — now to people without accounts
A side-by-side editorial comparison of ss3diags and tulpa — release velocity, themes, recent moves, and the top alternatives to consider.
A fisheries diagnostics package that lives and dies by one upstream dependency.
ss3diags provides residual, retrospective and hindcast cross-validation diagnostics for Stock Synthesis models, sitting directly on top of r4ss. Its recent history is dominated by that dependency: when r4ss 1.50.0 renamed columns across its read and write functions, ss3diags pinned itself to 1.49.3 only, then spent the following release adapting. It now requires r4ss 1.50.0 and above and has moved to native R pipes.
The 0.0.x train stops at CRAN: tulpa's engine ships to the ecosystem it already anchors.
tulpa is the C++/R Bayesian spatial inference engine sitting under gcol33's family of ecological occupancy packages, tagging 0.0.x releases several times a week. 0.1.0 is its first CRAN release, and the notes state outright that the engine surface is unchanged from 0.0.198 — the work is packaging discipline: local T bindings rebound to n_t/n_times, OpenMP teams capped under R CMD check, the pkgdown deploy narrowed, an aspell dictionary added. The window behind it splits between the S3 generics conversion and numerical-correctness work in the nested-Laplace grid.
ss3diags provides residual, retrospective and hindcast cross-validation diagnostics for Stock Synthesis models, sitting directly on top of r4ss. Its recent history is dominated by that dependency: when r4ss 1.50.0 renamed columns across its read and write functions, ss3diags pinned itself to 1.49.3 only, then spent the following release adapting. It now requires r4ss 1.50.0 and above and has moved to native R pipes.
The package is a downstream consumer whose release schedule is largely dictated by NOAA's r4ss. Between compatibility passes it has been shifting documentation from loose cookbook scripts into proper vignettes and shedding bundled Rdata in favour of objects generated at build time. Note that 2.0.3 and 2.1.0 were published the same day, so version order in this feed does not track chronology.
The next release most likely follows the next breaking r4ss change; between those, expect continued vignette and parameter-validation work.
tulpa is the C++/R Bayesian spatial inference engine sitting under gcol33's family of ecological occupancy packages, tagging 0.0.x releases several times a week. 0.1.0 is its first CRAN release, and the notes state outright that the engine surface is unchanged from 0.0.198 — the work is packaging discipline: local T bindings rebound to n_t/n_times, OpenMP teams capped under R CMD check, the pkgdown deploy narrowed, an aspell dictionary added. The window behind it splits between the S3 generics conversion and numerical-correctness work in the nested-Laplace grid.
Two moves in nine days point at the same destination: the generics conversion made tulpa extensible by downstream packages, and CRAN admission makes it installable by them. The current cadence — several tags a week, some existing only to record a measurement that produced no code change — does not survive CRAN's submission overhead, so the release rhythm has to slow whether or not the project intends it. The correctness work still clusters on the joint nested-Laplace driver, and 0.1.0 extends the same diagnostics habit with .NL_AXIS_SD_REASONS, a closed vocabulary for an outer axis whose grid does not contain its own posterior mode.
Expect tulpaObs to follow tulpa onto CRAN, since it is the consumer whose registrations the engine has spent this window unblocking, and expect the version line to move in larger, less frequent steps now that each one carries a submission.
Other Analytics 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 ss3diags or tulpa.
Basedash keeps pushing its data out of the workspace — now to people without accounts
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See all ss3diags alternatives → · See all tulpa alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. tulpa is currently shipping more aggressively (velocity 7.5 vs 0.0), with 2 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. tulpa is currently shipping more aggressively (velocity 7.5 vs 0.0), with 2 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
Top ss3diags alternatives in Analytics are ranked by recent ship velocity. Browse the "ss3diags alternatives" section above for the current picks, or visit /alternatives/ss3diags for the full list with editorial commentary on each.
Top tulpa alternatives in Analytics are ranked by recent ship velocity. Browse the "tulpa alternatives" section above for the current picks, or visit /alternatives/tulpa for the full list with editorial commentary on each.