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Comparison · Analytics

cloudml vs forcis

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

cloudml vs forcis: at a glance

Featurecloudmlforcis
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmachine-learning, google-cloud, tensorflow, model-trainingdata-access, r-package, ropensci, oceanography
Last editorial update1h ago47m 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 forcis?

A foraminifera data-access package whose entire release history is the rOpenSci review process.

forcis provides R access to the FORCIS database of planktonic foraminifera occurrences. All three releases in the window are review milestones rather than feature work: first stable release, the release answering rOpenSci reviewer comments, and a post-CRAN-review polish. Release notes point at NEWS.md rather than enumerating changes.

Read the full forcis trajectory →

cloudml vs forcis: 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.

F
forcis
ANALYTICS
0.0

A foraminifera data-access package whose entire release history is the rOpenSci review process.

◆ Current state

forcis provides R access to the FORCIS database of planktonic foraminifera occurrences. All three releases in the window are review milestones rather than feature work: first stable release, the release answering rOpenSci reviewer comments, and a post-CRAN-review polish. Release notes point at NEWS.md rather than enumerating changes.

◆ Where it's heading

The package is moving from research artifact to reviewed, distributable infrastructure — submitted to rOpenSci at 0.1.0, integrated review feedback at 1.0.0, cleared CRAN at 1.0.1. That arc is complete, so the next phase should be the first release driven by users rather than reviewers.

◆ Prediction

With review and CRAN acceptance both behind it, the next release is most likely to track upstream FORCIS database changes or add query conveniences; the entries themselves say nothing about planned features.

Alternatives to cloudml and forcis

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 forcis.

See all cloudml alternatives → · See all forcis alternatives →

Recent activity from cloudml and forcis

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

  1. 0y agocloudmlDocumentation updated for CRAN
  2. 1y agoforcisPost-CRAN-review example and practice cleanup
  3. 1y agoforcis1.0.0 incorporates rOpenSci review feedback
  4. 1y agoforcisFirst stable release, submitted to rOpenSci
  5. 6y agocloudmlai-platform command adopted; custom pre-install commands added
  6. 7y agocloudmlDefault runtime moves to TensorFlow 1.9
  7. 8y agocloudmlPatch for CRAN results and a packrat error
  8. 8y agocloudmlCloud training, GPU jobs, tuning and deployment from R

Frequently asked questions

What is the difference between cloudml and forcis?

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

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

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