KRLS
A 2014 kernel regression method getting the scalability and tooling it never had, in a three-release afternoon.
A side-by-side editorial comparison of eratosthenes and Rhino — release velocity, themes, recent moves, and the top alternatives to consider.
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().
Rhino's release line runs on release candidates, and 1.12 makes room for coding agents.
Rhino publishes only release candidates to this feed — every entry back to 1.9 is an -rc tag, with no final release ever appearing. The 1.12.0 candidate is the first in the window with user-visible substance: a `use` function that scaffolds an AGENTS.md file carrying Rhino-specific instructions, plus a `use` function for the CI template. The rest is maintenance: covr-based test coverage, e2e tests, Node dependency updates, and a maintainer handover.
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().
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.
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.
Rhino publishes only release candidates to this feed — every entry back to 1.9 is an -rc tag, with no final release ever appearing. The 1.12.0 candidate is the first in the window with user-visible substance: a `use` function that scaffolds an AGENTS.md file carrying Rhino-specific instructions, plus a `use` function for the CI template. The rest is maintenance: covr-based test coverage, e2e tests, Node dependency updates, and a maintainer handover.
Rhino is converging on scaffolding as its main surface — the framework's value is increasingly in what it generates for you rather than what it does at runtime, and 1.12 extends that generation to instructions meant for AI coding agents rather than humans. The maintainer change and the CI/coverage work in the same release read as consolidation after a long gap: 1.11 shipped in April 2025, 1.12 not until June 2026.
More `use_*` scaffolding functions are the obvious next increment, since two arrived in a single release. Whether the AGENTS.md instructions grow into deeper agent tooling is not something these entries settle.
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 Rhino.
A 2014 kernel regression method getting the scalability and tooling it never had, in a three-release afternoon.
A ggplot2 extension quietly turning axes and legends into a place where other plots can live.
The mapping half of the openair stack, currently dismantling its own static plotting in favour of the parent package.
Air quality analysis rebuilt on ggplot2, twenty years of lattice plotting dropped in one release.
Survey harmonization tooling that spent its last release earning its way back onto CRAN.
A NOAA report-template generator being debugged by the workshops that teach it.
See all eratosthenes alternatives → · See all Rhino alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. eratosthenes 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. eratosthenes 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.
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.
Top Rhino alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Rhino alternatives" section above for the current picks, or visit /alternatives/rhino-r for the full list with editorial commentary on each.