jSDM
Joint species distribution models in Gibbs-sampled C++, quiet since 2023.
A side-by-side editorial comparison of melodi and mice — release velocity, themes, recent moves, and the top alternatives to consider.
INSEE's statistics API gets a French R client that keeps meeting its edge cases
Rmelodi is InseeFrLab's R client for the Melodi APIs, which serve French official statistics. It reached 1.0.0 in February 2026 with the technical call parameters moved out of function arguments and into options(), and a per-request row limit raised to 100,000 on the server side. Everything since has been dataset-specific: field names that vary between datasets, geography labels, performance.
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.
Rmelodi is InseeFrLab's R client for the Melodi APIs, which serve French official statistics. It reached 1.0.0 in February 2026 with the technical call parameters moved out of function arguments and into options(), and a per-request row limit raised to 100,000 on the server side. Everything since has been dataset-specific: field names that vary between datasets, geography labels, performance.
The work is convergence with an API that is still moving. Version 0.3.0 added label lookups so codes become readable; 1.0.0 centralised configuration; 1.0.1 and 1.0.2 each fix a place where a real dataset does not match the assumed shape — get_range_geo() needing an extra label field, then the consumer price index series naming its value column differently from every other dataset. Release notes are in French, which is consistent with the audience.
The 1.0.x pattern is one dataset-shape exception per release, which suggests the client is still discovering how much the Melodi datasets vary rather than converging on a general parser. Expect more of the same until the variation is handled generically.
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 melodi or mice.
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.
Fitness-tracking analysis in slow maintenance, still absorbing upstream breakage.
State-panel tooling holding steady since its 2020 data and ergonomics release.
Five years of compiler and CRAN fixes on a capture-recapture package.
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. melodi 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. melodi 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 melodi alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "melodi alternatives" section above for the current picks, or visit /alternatives/melodi 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.