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climate vs mice

A side-by-side editorial comparison of climate and mice — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

climate vs mice: at a glance

Featureclimatemice
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesweather-data, data-acquisition, synop-parsing, dependency-reductionmissing-data, multiple-imputation, statistics, r-package
Last editorial update6h ago1h ago
WebsiteVisit →Visit →

What is climate?

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parser argument and default to SYNOP for hourly data with HTML kept for daily summaries, and the XML parsing engine has been replaced by in-house code to cut dependencies.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.

Read the full climate trajectory →

What is mice?

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.

Read the full mice trajectory →

climate vs mice: editorial side-by-side

C
climate
INFRA · APIS
0.0

climate stops scraping and starts parsing: an in-house SYNOP engine replaces the HTML path.

◆ Current state

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parser argument and default to SYNOP for hourly data with HTML kept for daily summaries, and the XML parsing engine has been replaced by in-house code to cut dependencies.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.

◆ Where it's heading

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.

◆ Prediction

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.

M
mice
INFRA · APIS
0.0

mice can finally predict, not just estimate, from multiply imputed data.

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

Alternatives to climate and mice

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 mice.

See all climate alternatives → · See all mice alternatives →

Recent activity from climate and mice

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1mo agoclimateIn-house SYNOP parser replaces the HTML and XML path
  2. 6mo agoclimateIMGW header fixes and faster selective station downloads
  3. 8mo agomicemice 3.19.0
  4. 10mo agoclimateHydrological telemetry datastore access added
  5. 1y agomicemice 3.18.0
  6. 1y agoclimateCorrupted IMGW archives skipped instead of breaking downloads
  7. 1y agomicemice 3.17.0
  8. 3y agomicemice 3.16.0
  9. 3y agomicemice 3.15.0
  10. 3y agoclimateallow_failure keeps CRAN checks green when services are down
  11. 4y agoclimateMultiple station names fixed; units moved to attributes
  12. 4y agomicemice 3.14.0

Frequently asked questions

What is the difference between climate and mice?

Both compete on the same themes — r-package — within Infra & APIs. climate 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.

Is climate better than mice?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. climate 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.

What are the best alternatives to climate?

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.

What are the best alternatives to mice?

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.