← Back to home
Comparison · Analytics

climaemet vs epikit

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

Shared themes:r-package

climaemet vs epikit: at a glance

Featureclimaemetepikit
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesweather-data, aemet, spain, rate-limitingepidemiology, field-data, date-handling, r-package
Last editorial update4h ago53m 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 epikit?

epikit narrows to field-epidemiology helpers, handing proportions to a sibling package

epikit is a set of small helpers for applied epidemiology in R — age categorisation, date reconstruction from partial records, and related field-data chores, developed in the R4Epis orbit. Version 0.2.0 moved the proportion functions out to epitabulate, improved how find_date_cause(), find_start_date() and find_end_date() handle dates falling outside the period, and added a floor argument to age_categories() so the lowest band reads as under one rather than zero to zero.

Read the full epikit trajectory →

climaemet vs epikit: 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.

E
epikit
ANALYTICS
0.0

epikit narrows to field-epidemiology helpers, handing proportions to a sibling package

◆ Current state

epikit is a set of small helpers for applied epidemiology in R — age categorisation, date reconstruction from partial records, and related field-data chores, developed in the R4Epis orbit. Version 0.2.0 moved the proportion functions out to epitabulate, improved how find_date_cause(), find_start_date() and find_end_date() handle dates falling outside the period, and added a floor argument to age_categories() so the lowest band reads as under one rather than zero to zero.

◆ Where it's heading

The package is being scoped down rather than built out. The 0.1.3 restructuring and the 0.2.0 handover of proportions to epitabulate are the same move made twice: push functionality into the package where it belongs and keep epikit to the toolkit that field epidemiologists reach for directly. The rest of the history is dependency compatibility work against dplyr and tibble.

◆ Prediction

With proportions gone and dependencies trimmed, the remaining functions cluster tightly around dates and age bands, so further refinement of the date-reconstruction helpers is more likely than new capability areas.

Alternatives to climaemet and epikit

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 epikit.

See all climaemet alternatives → · See all epikit alternatives →

Recent activity from climaemet and epikit

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. 4mo agoclimaemetVignettes migrated to Quarto
  3. 7mo agoclimaemetRequest throttling pinned to AEMET's 40-per-minute policy
  4. 9mo agoepikitProportion functions moved to epitabulate; date helpers warn correctly
  5. 1y agoclimaemetggwindrose rebuilt on coord_radial
  6. 1y agoclimaemetHighest-quota API key now chosen per call
  7. 1y agoclimaemetWeather alerts and wildfire risk rasters added
  8. 3y agoepikitFunctions rearranged across sibling packages
  9. 5y agoepikitRaise dplyr and tibble minimums; move CI to GitHub Actions
  10. 5y agoepikitCompatibility release for dplyr 1.0.0
  11. 6y agoepikitFirst CRAN release

Frequently asked questions

What is the difference between climaemet and epikit?

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

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. climaemet and epikit 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 epikit?

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