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riem vs rlistings

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

Shared themes:r-package

riem vs rlistings: at a glance

Featureriemrlistings
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesweather-data, api-client, r-package, ropensciclinical-trials, listings, pagination, r-package
Last editorial update1h ago1h 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 rlistings?

Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.

rlistings renders clinical-trial subject listings and paginates them for regulatory output, sitting alongside rtables on the shared formatters engine. The releases in this window are dominated by pagination correctness: repeated key columns across pages, splitting by a variable, ordered-factor handling, column gaps, and font metrics. Development is a large rotating contributor set inside the insightsengineering organisation.

Read the full rlistings trajectory →

riem vs rlistings: 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.

R
rlistings
ANALYTICS
0.0

Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.

◆ Current state

rlistings renders clinical-trial subject listings and paginates them for regulatory output, sitting alongside rtables on the shared formatters engine. The releases in this window are dominated by pagination correctness: repeated key columns across pages, splitting by a variable, ordered-factor handling, column gaps, and font metrics. Development is a large rotating contributor set inside the insightsengineering organisation.

◆ Where it's heading

The package is progressively delegating pagination to formatters rather than implementing it — paginate_listing() was refactored to call formatters' paginate_to_mpfs() directly, and truetype font support arrived through a new formatters API. That reduces duplicated logic but ties the package's page-break behaviour to a dependency it shares with rtables. Feature work beyond pagination is thin: better error messages for unsupported column classes, a cheatsheet.

◆ Prediction

Expect pagination fidelity to remain the focus, with changes arriving as formatters exposes more of its layout machinery rather than as rlistings-native features.

Alternatives to riem and rlistings

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 rlistings.

See all riem alternatives → · See all rlistings alternatives →

Recent activity from riem and rlistings

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

  1. 1y agoriem1.0.0 removes defaults and adds query arguments
  2. 1y agorlistingsError and message handling for difftime and zero-row listings
  3. 1y agorlistingsTrueType font support and col_gap in pagination
  4. 1y agoriemDrops the last vcr usage in favour of httptest2
  5. 2y agorlistingssplit_into_pages_by_var() and pagination moved onto formatters
  6. 2y agoriemTimezone and timestamp-parsing fixes
  7. 4y agoriemMoves to httr2 and httptest2
  8. 4y agoriemSwitches to newer IEM metadata web services
  9. 9y agoriemReduces dependencies to tibble alone

Frequently asked questions

What is the difference between riem and rlistings?

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

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

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