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cloudml vs riem

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

cloudml vs riem: at a glance

Featurecloudmlriem
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmachine-learning, google-cloud, tensorflow, model-trainingweather-data, api-client, r-package, ropensci
Last editorial update1h ago56m ago
WebsiteVisit →Visit →

What is cloudml?

Six years since the last functional change, and Google renamed the service it wraps in the release before that

cloudml lets R users train keras, tfestimators and tensorflow models on Google's managed machine learning service, tune hyperparameters there, and deploy the results. Its last release with functional content was 0.6.1 in September 2019, which adapted to Google renaming the service from ml-engine to ai-platform. The only entry since is a 2025 documentation update made to satisfy CRAN.

Read the full cloudml trajectory →

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 →

cloudml vs riem: editorial side-by-side

C
cloudml
ANALYTICS
0.0

Six years since the last functional change, and Google renamed the service it wraps in the release before that

◆ Current state

cloudml lets R users train keras, tfestimators and tensorflow models on Google's managed machine learning service, tune hyperparameters there, and deploy the results. Its last release with functional content was 0.6.1 in September 2019, which adapted to Google renaming the service from ml-engine to ai-platform. The only entry since is a 2025 documentation update made to satisfy CRAN.

◆ Where it's heading

The visible arc is short and stops abruptly. Releases through 2018 tracked the TensorFlow runtime version and patched packaging problems; 0.6.1 added a customCommands hook so users could run OS-level setup before package installation, and adjusted to the service's new name. Then nothing for six years. A 2025 release containing only documentation changes is the standard signal of a package being kept on CRAN rather than being developed.

◆ Prediction

There is nothing in this feed to support a prediction of functional work. The most likely next event is another CRAN-driven documentation patch, or archival.

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.

Alternatives to cloudml and riem

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 cloudml or riem.

See all cloudml alternatives → · See all riem alternatives →

Recent activity from cloudml and riem

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

  1. 0y agocloudmlDocumentation updated for CRAN
  2. 1y agoriem1.0.0 removes defaults and adds query arguments
  3. 1y agoriemDrops the last vcr usage in favour of httptest2
  4. 2y agoriemTimezone and timestamp-parsing fixes
  5. 4y agoriemMoves to httr2 and httptest2
  6. 4y agoriemSwitches to newer IEM metadata web services
  7. 6y agocloudmlai-platform command adopted; custom pre-install commands added
  8. 7y agocloudmlDefault runtime moves to TensorFlow 1.9
  9. 8y agocloudmlPatch for CRAN results and a packrat error
  10. 8y agocloudmlCloud training, GPU jobs, tuning and deployment from R
  11. 9y agoriemReduces dependencies to tibble alone

Frequently asked questions

What is the difference between cloudml and riem?

They serve adjacent needs but don't currently overlap on shipped themes. cloudml and riem 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 cloudml better than riem?

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

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

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.