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climaemet vs collapse

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

Shared themes:r-package

climaemet vs collapse: at a glance

Featureclimaemetcollapse
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesweather-data, aemet, spain, rate-limitingdata-transformation, performance, simd, grouped-statistics
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is climaemet?

climaemet added weather alerts and wildfire risk, then spent two years managing rate limits.

climaemet wraps Spain's AEMET meteorological API — station data, historical climate series, forecasts, and the plotting helpers that go with them. Its capability surface widened decisively in 1.4.0 with meteorological alerts and wildfire risk rasters. Everything since has been about surviving the API rather than extending it: multiple API keys, quota-aware key selection, and httr2 throttling pinned to AEMET's stated 40-connections-per-minute policy.

Read the full climaemet trajectory →

What is collapse?

collapse got a JSS paper and a 7x fmean speedup in the same release.

collapse provides fast grouped statistical computing and data transformation for R, built on a C backend with its own grouping, hashing and aggregation primitives. The 2.1.x line is a maintenance and optimization series: SIMD multiple-accumulator work delivering roughly 2x on fsum() and 7x on fmean() for systems without OpenMP, a custom internal unlist() with better attribute preservation, and a steady stream of correctness fixes in collap(), pivot() and roworderv().

Read the full collapse trajectory →

climaemet vs collapse: editorial side-by-side

C
climaemet
ANALYTICS
0.0

climaemet added weather alerts and wildfire risk, then spent two years managing rate limits.

◆ Current state

climaemet wraps Spain's AEMET meteorological API — station data, historical climate series, forecasts, and the plotting helpers that go with them. Its capability surface widened decisively in 1.4.0 with meteorological alerts and wildfire risk rasters. Everything since has been about surviving the API rather than extending it: multiple API keys, quota-aware key selection, and httr2 throttling pinned to AEMET's stated 40-connections-per-minute policy.

◆ Where it's heading

Two forces shape this package, and neither is feature demand. The first is AEMET's own churn — new response codes, a fires endpoint that switched to six risk levels returned as named factors, municipality datasets refreshed annually. The second is the maintainer's cross-package modernization, visible here as the API key store moving to tools::R_user_dir() with automatic migration, a configurable timeout, cli messaging, and an R 4.1 floor. The 1.6.0 refactor is stated as AI-assisted, matching the maintainer's other packages.

◆ Prediction

Expect the next release to track another AEMET endpoint change rather than add a data domain; the throttling and multi-key machinery suggests quota pressure is the constraint the maintainer keeps returning to.

C
collapse
ANALYTICS
0.0

collapse got a JSS paper and a 7x fmean speedup in the same release.

◆ Current state

collapse provides fast grouped statistical computing and data transformation for R, built on a C backend with its own grouping, hashing and aggregation primitives. The 2.1.x line is a maintenance and optimization series: SIMD multiple-accumulator work delivering roughly 2x on fsum() and 7x on fmean() for systems without OpenMP, a custom internal unlist() with better attribute preservation, and a steady stream of correctness fixes in collap(), pivot() and roworderv().

◆ Where it's heading

The package is consolidating institutionally as much as technically. The repository moved to the fastverse organization with multiple people granted access, the Journal of Statistical Software paper landed as the primary citation, and documentation now includes an AI-generated interactive layer. Technically the focus is the hashing and grouping core — the decision to treat -0 and 0 as equal across funique(), group(), fmatch(), fmode() and their derivatives was made in sync with an equivalent change in Rcpp, and accepted a measured 3% cost to get it. The last release with breaking changes sits outside this six-entry window.

◆ Prediction

Expect further targeted performance work on the grouped statistical functions and continued small correctness fixes; the governance move to fastverse suggests contribution volume rather than direction is what the maintainer is managing.

Alternatives to climaemet and collapse

Other Analytics 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 climaemet or collapse.

See all climaemet alternatives → · See all collapse alternatives →

Recent activity from climaemet and collapse

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

  1. 2mo agoclimaemetAPI keys move to R_user_dir; fire risk returns named factors
  2. 2mo agocollapseSIMD accumulators give fmean a 7x speedup without OpenMP
  3. 4mo agoclimaemetVignettes migrated to Quarto
  4. 7mo agoclimaemetRequest throttling pinned to AEMET's 40-per-minute policy
  5. 7mo agocollapseNegative zero now hashes equal to zero across the package
  6. 8mo agocollapsecollap() no longer double-aggregates external weights
  7. 9mo agocollapseCustom unlist() preserves attributes
  8. 0y agocollapseAssorted bug fixes
  9. 1y agoclimaemetggwindrose rebuilt on coord_radial
  10. 1y agocollapsena_insert gains by-reference mode; gsplit and pivot speed up
  11. 1y agoclimaemetHighest-quota API key now chosen per call
  12. 1y agoclimaemetWeather alerts and wildfire risk rasters added

Frequently asked questions

What is the difference between climaemet and collapse?

Both compete on the same themes — r-package — within Analytics. climaemet and collapse 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 climaemet better than collapse?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. climaemet and collapse 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 Analytics products to evaluate alongside.

What are the best alternatives to climaemet?

Top climaemet alternatives in Analytics are ranked by recent ship velocity. Browse the "climaemet alternatives" section above for the current picks, or visit /alternatives/climaemet for the full list with editorial commentary on each.

What are the best alternatives to collapse?

Top collapse alternatives in Analytics are ranked by recent ship velocity. Browse the "collapse alternatives" section above for the current picks, or visit /alternatives/collapse-r for the full list with editorial commentary on each.