mrbayes
mrbayes spent 2026 auditing its own Bayesian MR estimators for coding errors.
A side-by-side editorial comparison of icesSAG and modeltime.ensemble — release velocity, themes, recent moves, and the top alternatives to consider.
The ICES stock assessment client took upload away in 2024 and spent two years giving it back.
icesSAG is the R client for the ICES Stock Assessment Graphs database, used by fisheries scientists to retrieve and publish stock assessment summaries and figures. The 1.5.0 release repointed every function at a new API, replaced token authentication with JWT via icesConnect, and dropped file upload entirely. Upload returned in 1.6.2, now routing through icesDatsu to check file format and validate data before submission.
modeltime.ensemble wakes after four years, and the work is all tune 2.0 compatibility.
modeltime.ensemble builds average, weighted and stacked ensembles over modeltime forecast models. After a four-year gap it shipped twice in a fortnight during August and September 2025, both releases devoted to tracking breaking changes in tidymodels' tune package — new resampling column conventions, key uniqueness across resamples, recipe preparation. The tidyverse dependency was dropped in the same pass.
icesSAG is the R client for the ICES Stock Assessment Graphs database, used by fisheries scientists to retrieve and publish stock assessment summaries and figures. The 1.5.0 release repointed every function at a new API, replaced token authentication with JWT via icesConnect, and dropped file upload entirely. Upload returned in 1.6.2, now routing through icesDatsu to check file format and validate data before submission.
The package is consolidating onto the shared ices-tools stack rather than carrying its own machinery — authentication moved to icesConnect, validation to icesDatsu, and the icesVocab dependency was dropped once it was no longer needed. Alongside that, redundant graph functions were deprecated and caching was added to reduce load on the server. Releases are infrequent and driven by upstream API changes.
Expect the next release to follow whatever the ICES service or the sibling ices-tools packages change next, rather than introducing new analysis capability of its own.
modeltime.ensemble builds average, weighted and stacked ensembles over modeltime forecast models. After a four-year gap it shipped twice in a fortnight during August and September 2025, both releases devoted to tracking breaking changes in tidymodels' tune package — new resampling column conventions, key uniqueness across resamples, recipe preparation. The tidyverse dependency was dropped in the same pass.
This is a package whose forecasting capability was settled by 2021 — recursive ensembles, per-series calibration — and whose recent life is dictated entirely by upstream tidymodels churn. New contributors did that compatibility work, including one from the tidymodels side. It now requires tune 2.0.0 and modeltime.resample 0.3.0, pinning it to the current tidymodels generation rather than straddling versions.
Expect the next release to follow the next tune or modeltime.resample breaking change rather than to introduce new ensembling methods.
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 icesSAG or modeltime.ensemble.
mrbayes spent 2026 auditing its own Bayesian MR estimators for coding errors.
lineup2 ships once every few years, and 2026's release is a logo and a core-count tweak.
stringi has spent two years on build hardening since its Unicode 15.1 reset.
A 2017 chemometrics method frozen in place, visited only when CRAN changes its documentation rules.
A fast dplyr stand-in that keeps finding new places to skip work entirely.
Belgium's invasive-species indicator toolkit is in steady refinement, one plotting edge case at a time.
See all icesSAG alternatives → · See all modeltime.ensemble alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. icesSAG and modeltime.ensemble are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). 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. icesSAG and modeltime.ensemble are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
Top icesSAG alternatives in Analytics are ranked by recent ship velocity. Browse the "icesSAG alternatives" section above for the current picks, or visit /alternatives/icessag for the full list with editorial commentary on each.
Top modeltime.ensemble alternatives in Analytics are ranked by recent ship velocity. Browse the "modeltime.ensemble alternatives" section above for the current picks, or visit /alternatives/modeltime-ensemble for the full list with editorial commentary on each.