pr2database
The protist reference database keeps widening past the rRNA gene it was built on.
A side-by-side editorial comparison of Cobbler and mice — release velocity, themes, recent moves, and the top alternatives to consider.
A backport branch kept alive for downstreams, with the main line nowhere in sight.
Every release in Cobbler's visible history describes itself the same way: backports from main to make Cobbler more stable for the community. The 3.3.x line has absorbed real work under that framing — collection indices, lazy loading, new XML-RPC endpoints — but none of it originates here. The most recent item is a 3.2.3 build carrying the CVE-2024-47533 fix to an older branch, with its Fixed and Added sections left as literal TBD placeholders.
mice can finally predict, not just estimate, from multiply imputed data.
mice is the reference implementation of multiple imputation by chained equations, and the default answer to missing data in R. The releases here follow a consistent shape: one or two substantive additions per version, most contributed by outside authors, plus fixes to methods that have been in the package for years. The current 3.19.0 adds predict_mi(), which pools predictions across imputations under Rubin's rules and can return prediction intervals.
Every release in Cobbler's visible history describes itself the same way: backports from main to make Cobbler more stable for the community. The 3.3.x line has absorbed real work under that framing — collection indices, lazy loading, new XML-RPC endpoints — but none of it originates here. The most recent item is a 3.2.3 build carrying the CVE-2024-47533 fix to an older branch, with its Fixed and Added sections left as literal TBD placeholders.
This is a stabilization branch serving downstream packagers rather than a product advancing on its own. The work that does land splits cleanly into three buckets: distribution coverage (Ubuntu 22.04, Debian 12, AlmaLinux, RHEL9, openSUSE and SLE signatures), API surface for integrators, and security backports. 3.3.3 flagged dump_vars as the replacement for get_blended_data as of 3.4.0 — a version that has not appeared in any release since.
Expect continued single-purpose backports to 3.3.x and older branches as CVEs surface; the entries give no indication of when or whether the 3.4.0 work these releases keep deferring to will ship.
mice is the reference implementation of multiple imputation by chained equations, and the default answer to missing data in R. The releases here follow a consistent shape: one or two substantive additions per version, most contributed by outside authors, plus fixes to methods that have been in the package for years. The current 3.19.0 adds predict_mi(), which pools predictions across imputations under Rubin's rules and can return prediction intervals.
Two things are happening. The imputation method catalogue keeps widening — lasso variants, multivariate PMM, categorical PMM via canonical correlation — while the pooling side is being extended past its original purpose, first to synthetic data, now to predictions on held-out sets. That second thread points at predictive modelling workflows rather than the inferential ones mice was built for. Meanwhile the maintainers keep finding consequential old bugs: the augment() ordered-factor defect in 3.18.0 had been silently degrading ordinal imputations for years.
predict_mi() is framed around evaluating predictive performance on test sets, and the ignore argument added in 3.12.0 already exists to hold out rows from the imputation model. Expect the next work to join those up into a fuller train/test story for imputed data, since the pieces are now in place but not yet connected.
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 Cobbler or mice.
The protist reference database keeps widening past the rRNA gene it was built on.
Composable aligned layouts, rebuilt on S7 while ggplot2 4.0 lands underneath.
Conservation planning absorbs the literature's target-setting rules as code.
Joint species distribution models in Gibbs-sampled C++, quiet since 2023.
An ecosystem model starts tracking carbon isotopes and land-use change.
Ten years in, US mapping splits its data out and finally adds Puerto Rico.
See all Cobbler alternatives → · See all mice alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Cobbler and mice 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. Cobbler and mice 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 Infra & APIs products to evaluate alongside.
Top Cobbler alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Cobbler alternatives" section above for the current picks, or visit /alternatives/cobbler for the full list with editorial commentary on each.
Top mice alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "mice alternatives" section above for the current picks, or visit /alternatives/mice for the full list with editorial commentary on each.