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 Dokku and nuggets — release velocity, themes, recent moves, and the top alternatives to consider.
Dokku is quietly turning into a k3s front-end with a JSON-first CLI.
The 0.38 patch line keeps shipping small releases with real features in them. v0.38.27 drops the local-image requirement for k3s deploys, reports Traefik DNS-provider variables as global keys, adds storage directory mode and removal flags, and introduces a vector-cron-sink so scheduled cron output has somewhere to go. It follows v0.38.26, which brought wildcard domains, custom cert issuers, and kernel sysctls to the k3s scheduler.
nuggets keeps compounding on the 2.0 rewrite — more pattern families, lighter install.
nuggets searches for association rules, contrasts and other conditional patterns in the GUHA tradition, with a C++ core behind dig() and an interactive explore() app for reading results. Since the 2.0 rewrite of that core, every release has widened the same three surfaces: more pattern families to mine, more of explore() to inspect them in, and steady performance work underneath. The most recent tag optimises dig() on sparse crisp data with a sparse bit chain and adds clustering characteristics to explore() for association rules.
The 0.38 patch line keeps shipping small releases with real features in them. v0.38.27 drops the local-image requirement for k3s deploys, reports Traefik DNS-provider variables as global keys, adds storage directory mode and removal flags, and introduces a vector-cron-sink so scheduled cron output has somewhere to go. It follows v0.38.26, which brought wildcard domains, custom cert issuers, and kernel sysctls to the k3s scheduler.
Two threads run through almost every release: closing the gap between the k3s scheduler and the classic single-host path, and making every command machine-readable. The k3s work has moved from basic scheduling to the operational details — certificates, DNS, sysctls, and now deploys that no longer assume a local Docker image — which is the sequence a project follows when it expects the Kubernetes path to become the default rather than the alternative.
Expect the remaining k3s parity gaps to keep closing one release at a time, and expect the logging work started with vector-cron-sink to extend to other task types that currently have no sink.
nuggets searches for association rules, contrasts and other conditional patterns in the GUHA tradition, with a C++ core behind dig() and an interactive explore() app for reading results. Since the 2.0 rewrite of that core, every release has widened the same three surfaces: more pattern families to mine, more of explore() to inspect them in, and steady performance work underneath. The most recent tag optimises dig() on sparse crisp data with a sparse bit chain and adds clustering characteristics to explore() for association rules.
Two forces are shaping the package. One is coverage: baseline, complement and paired-baseline contrasts, correlations, tautologies, ancestors and clustering have all been added as first-class dig_ or explore_ surfaces, so the same search engine now answers a widening set of questions. The other is weight — Shiny packages moved from Imports to Suggests, BH and RcppThread dropped, XSIMD updated, parse_condition() rewritten in C++ — which keeps a package with an interactive app from forcing that app's dependencies on every user. Deprecations are handled through lifecycle rather than removed abruptly.
Expect the sparse-data optimisation to extend from crisp to fuzzy data, and explore() to keep gaining tabs as each new pattern family lands, on the roughly six-week cadence the 2.2 line has held.
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 Dokku or nuggets.
A test-theory package that grew into a graphical-model toolkit, now spending its releases paying down the API debt that growth created.
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.
EDAForge is a data-quality auditor renamed mid-flight, still finding its CRAN footing.
See all Dokku alternatives → · See all nuggets alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Dokku 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. Dokku 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 Dokku alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Dokku alternatives" section above for the current picks, or visit /alternatives/dokku for the full list with editorial commentary on each.
Top nuggets alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "nuggets alternatives" section above for the current picks, or visit /alternatives/nuggets for the full list with editorial commentary on each.