usmap
Ten years in, US mapping splits its data out and finally adds Puerto Rico.
A side-by-side editorial comparison of mdatools and melodi — release velocity, themes, recent moves, and the top alternatives to consider.
mdatools spun out its cross-validation method, then came back for three-way data.
mdatools is a long-running chemometrics package covering PCA, PLS regression, SIMCA and DD-SIMCA classification, MCR resolution and a large spectral preprocessing framework. Its releases are infrequent and each one tends to carry one substantive idea plus a handful of fixes. The June release opens a direction the package had not previously taken: DD-SIMCA classification of three-way data, through PARAFAC and Tucker decompositions.
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.
mdatools is a long-running chemometrics package covering PCA, PLS regression, SIMCA and DD-SIMCA classification, MCR resolution and a large spectral preprocessing framework. Its releases are infrequent and each one tends to carry one substantive idea plus a handful of fixes. The June release opens a direction the package had not previously taken: DD-SIMCA classification of three-way data, through PARAFAC and Tucker decompositions.
The shape of the package has been managed deliberately rather than allowed to sprawl. Procrustes cross-validation grew large enough to warrant its own package and was moved out to pcv in 0.14.0; preprocessing was consolidated in 0.12.0 into a composable prep() framework rather than a set of loose functions. Around that, the recurring work is numerical: a more stable SIMPLS implementation, cross-validation rewritten to accept user-supplied segment indices, prep.savgol() and prep.alsbasecorr() rewritten for speed, and now the baseline iteration default raised to match the web applications the maintainer also runs.
Three-way DD-SIMCA arrives with two decompositions and no companion regression or resolution methods for multiway data, so extending the multiway path to the rest of the toolkit is the obvious follow-up. The alignment of defaults with the maintainer's web applications suggests those two codebases will keep being reconciled.
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.
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 mdatools or melodi.
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.
A first release that turns meta-analytic heterogeneity into interpretable subgroups.
A meta-analysis toolkit still renaming its own API as it adds effect sizes.
See all mdatools alternatives → · See all melodi alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. mdatools and melodi 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. mdatools and melodi 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 mdatools alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "mdatools alternatives" section above for the current picks, or visit /alternatives/mdatools for the full list with editorial commentary on each.
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.