rollupTree
The recursive-computation engine under massProps grows the accessors its consumer needed
A side-by-side editorial comparison of climate and midr — release velocity, themes, recent moves, and the top alternatives to consider.
climate stops scraping and starts parsing: an in-house SYNOP engine replaces the HTML path.
climate pulls meteorological, hydrological and sounding data in R from public providers, chiefly the Polish IMGW-PIB repository, OGIMET and NOAA. Version 1.4.0 changes how it gets that data rather than what it offers: a new synop_parser() reads raw SYNOP messages directly, the OGIMET functions take a parser argument and default to SYNOP for hourly data with HTML kept for daily summaries, and the XML parsing engine has been replaced by in-house code to cut dependencies. The sounding functions also lost their server-side thermodynamic indices when the legacy Wyoming interface shut down.
A black-box interpreter reaches CRAN, then learns multi-class and survival responses
midr explains black-box models by fitting an interpretable surrogate through Maximum Interpretation Decomposition — main effects plus second-order interactions, with exact Shapley values for the surrogate. Two months after its first CRAN release it can take a matrix response, which covers multi-class classification and survival models, and hold collections of fitted interpretations in midlist and midrib objects for comparison.
climate pulls meteorological, hydrological and sounding data in R from public providers, chiefly the Polish IMGW-PIB repository, OGIMET and NOAA. Version 1.4.0 changes how it gets that data rather than what it offers: a new synop_parser() reads raw SYNOP messages directly, the OGIMET functions take a parser argument and default to SYNOP for hourly data with HTML kept for daily summaries, and the XML parsing engine has been replaced by in-house code to cut dependencies. The sounding functions also lost their server-side thermodynamic indices when the legacy Wyoming interface shut down.
This package's history is largely a record of upstream providers changing underneath it, and 1.4.0 is the release where it stops absorbing those changes and reduces its exposure to them. The 1.2.9 notes described a 20-second pause between OGIMET requests as a temporary measure and named a SYNOP parsing engine as the intended fix; that engine is now here, and SYNOP messages can be retrieved in bulk rather than one scrape at a time. Owning the parser and dropping XML means the next provider-side HTML change is a smaller problem than the last one was.
Expect the SYNOP path to become the default for more of the OGIMET surface as it proves out, with the HTML parser retained only where the provider offers nothing else. Whether the thermodynamic indices return in some form, or stay permanently delegated to thundeR, is the open question these notes leave.
midr explains black-box models by fitting an interpretable surrogate through Maximum Interpretation Decomposition — main effects plus second-order interactions, with exact Shapley values for the surrogate. Two months after its first CRAN release it can take a matrix response, which covers multi-class classification and survival models, and hold collections of fitted interpretations in midlist and midrib objects for comparison.
The releases move outward along two axes at once: what can be interpreted, and how much of it fits in memory. Version 0.5.3 rebuilt the fitting path to avoid materialising large design matrices and added a save.memory option; 0.6.0 widened the response from a vector to a matrix and added parametric link functions. Class and argument names were shortened in the same release, so the package is still willing to break itself this early.
With multiple models now held in one object and visualisation methods for them, comparison across models is the surface most likely to fill out next — the collection classes exist but the notes describe manipulation and plotting rather than any comparison metric.
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 climate or midr.
The recursive-computation engine under massProps grows the accessors its consumer needed
A mass-properties rollup spends a year on documentation and follows its sibling's API
Six months of releases and not one of them touched the scoring models
A cognitive-science sampling package ships once, then goes quiet for eighteen months
A Bayesian volatility sampler in its maintenance decade, paying for its own speed
Spatial thinning grows a result object, and the API breaks to make room for it
See all climate alternatives → · See all midr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. climate and midr 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. climate and midr 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 climate alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "climate alternatives" section above for the current picks, or visit /alternatives/climate for the full list with editorial commentary on each.
Top midr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "midr alternatives" section above for the current picks, or visit /alternatives/midr for the full list with editorial commentary on each.