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riem vs waywiser

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

Shared themes:r-package

riem vs waywiser: at a glance

Featureriemwaywiser
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesweather-data, api-client, r-package, ropenscispatial-statistics, model-assessment, tidymodels, cran-compliance
Last editorial update58m ago4h ago
WebsiteVisit →Visit →

What is riem?

A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.

riem pulls observations from the Iowa Environmental Mesonet's weather-station network. Its release history is two threads: successive rewrites of the HTTP and test-mocking stack, and a gradual tightening of function arguments that culminated in 1.0.0 removing convenient-but-dangerous defaults. Contributions come partly from IEM's own maintainer.

Read the full riem trajectory →

What is waywiser?

Spatial model assessment that spent the last year on cross-platform arithmetic and CRAN rules.

waywiser provides spatial model assessment metrics in a tidymodels idiom — spatial autocorrelation measures, area of applicability, and multi-scale assessment of predictions. The substantive work landed in 0.3.0 through 0.5.0, and the recent releases are consolidation: 0.6.0 made metric functions return NA everywhere they previously returned NaN, because macOS disagreed with every other platform, and taught ww_multi_scale() to handle classification and class probability metrics correctly when given rasters. The three releases since are entirely CRAN policy compliance — no internet downloads during checks, no writing to directories, no syntax that would raise the R version floor.

Read the full waywiser trajectory →

riem vs waywiser: editorial side-by-side

R
riem
ANALYTICS
0.0

A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.

◆ Current state

riem pulls observations from the Iowa Environmental Mesonet's weather-station network. Its release history is two threads: successive rewrites of the HTTP and test-mocking stack, and a gradual tightening of function arguments that culminated in 1.0.0 removing convenient-but-dangerous defaults. Contributions come partly from IEM's own maintainer.

◆ Where it's heading

The HTTP thread has moved through httr to httr2, and mocking from vcr to httptest2 — following the broader rOpenSci HTTP-stack reorganisation rather than any need of its own. The API thread runs the other way: 1.0.0 removed defaults for date_start and station and flipped latlon to FALSE, trading convenience for callers being explicit about what they request. New arguments in the same release widened what a query can ask for.

◆ Prediction

With the API stabilised at 1.0.0 and the HTTP stack settled on httr2, the next release is more likely to expose additional IEM query parameters than to change plumbing again.

W
waywiser
ANALYTICS
0.0

Spatial model assessment that spent the last year on cross-platform arithmetic and CRAN rules.

◆ Current state

waywiser provides spatial model assessment metrics in a tidymodels idiom — spatial autocorrelation measures, area of applicability, and multi-scale assessment of predictions. The substantive work landed in 0.3.0 through 0.5.0, and the recent releases are consolidation: 0.6.0 made metric functions return NA everywhere they previously returned NaN, because macOS disagreed with every other platform, and taught ww_multi_scale() to handle classification and class probability metrics correctly when given rasters. The three releases since are entirely CRAN policy compliance — no internet downloads during checks, no writing to directories, no syntax that would raise the R version floor.

◆ Where it's heading

The package has reached the point where the interesting bugs are cross-platform and cross-package rather than statistical. Its main function, ww_multi_scale(), has been the focus of nearly every release since 0.4.0, working through units handling, aggregation ordering, raster inputs and metric-type dispatch. The dependency on vip and the tidymodels metric machinery means a share of releases exist only to track breaking changes elsewhere.

◆ Prediction

Expect the next substantive release to continue on ww_multi_scale() edge cases, given that it has absorbed most of the fixes in this window. The recent run of CRAN-compliance patches suggests no feature work is currently in flight.

Alternatives to riem and waywiser

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 riem or waywiser.

See all riem alternatives → · See all waywiser alternatives →

Recent activity from riem and waywiser

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

  1. 1y agowaywiserStops downloading data during CRAN checks
  2. 1y agowaywiserVignettes no longer write to CRAN directories
  3. 1y agowaywiserKeeps the R version floor below 4.1
  4. 1y agoriem1.0.0 removes defaults and adds query arguments
  5. 1y agoriemDrops the last vcr usage in favour of httptest2
  6. 2y agowaywiserNaN results become NA; raster metrics dispatch correctly
  7. 2y agoriemTimezone and timestamp-parsing fixes
  8. 2y agowaywiserGuards against ignored grid arguments; faster on sf data
  9. 2y agowaywiserFixes wrong observation counts and ignored grid units
  10. 4y agoriemMoves to httr2 and httptest2
  11. 4y agoriemSwitches to newer IEM metadata web services
  12. 9y agoriemReduces dependencies to tibble alone

Frequently asked questions

What is the difference between riem and waywiser?

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

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

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

What are the best alternatives to waywiser?

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