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Comparison · Analytics
cloudml vs patentsview
A side-by-side editorial comparison of cloudml and patentsview — release velocity, themes, recent moves, and the top alternatives to consider.
cloudml vs patentsview: at a glance
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.
What is patentsview?
Dormant for years, then rewritten wholesale when the API underneath it broke.
patentsview is an R client for the USPTO PatentsView API, and version 1.0.0 is less a feature release than a forced reconstruction: the upstream API introduced mandatory keys, renamed and re-nested its endpoints, and the package had to follow. Between 2017 and 2021 the release cadence was roughly annual and almost entirely defensive — wrapping examples so CRAN would not fail during API outages, patching URL encoding, adding throttling retries. The 1.0.0 work restores the package to parity with an API that no longer resembles the one it was written against.
cloudml vs patentsview: editorial side-by-side
cloudml
0.0ANALYTICS
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.
patentsview
0.0ANALYTICS
Dormant for years, then rewritten wholesale when the API underneath it broke.
◆ Current state
patentsview is an R client for the USPTO PatentsView API, and version 1.0.0 is less a feature release than a forced reconstruction: the upstream API introduced mandatory keys, renamed and re-nested its endpoints, and the package had to follow. Between 2017 and 2021 the release cadence was roughly annual and almost entirely defensive — wrapping examples so CRAN would not fail during API outages, patching URL encoding, adding throttling retries. The 1.0.0 work restores the package to parity with an API that no longer resembles the one it was written against.
◆ Where it's heading
The arc here is a client package whose roadmap is entirely dictated by an upstream service it does not control. Every release since 0.2.0 has been reactive — HTTPS migration, throttling, encoding fixes, and now a full breaking rewrite. The one forward-looking piece is retrieve_linked_data(), which follows HATEOAS links the API now returns, meaning the package is starting to navigate the API rather than just query fixed endpoints.
◆ Prediction
Expect the next releases to be small follow-ups against the reworked API — field list refreshes and error handling for endpoints that behave differently in practice than in the documentation. The entries do not show any independent roadmap, so anything beyond that would depend on further upstream API changes.
Alternatives to cloudml and patentsview
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 patentsview.
DoseFinding
New stewardship at openpharma, then two releases adding the methods MCP-Mod was missing
webmockr
The stubbing library added httr2 support, then spent a year cutting itself free of everything else
crul
crul took mocking back from webmockr and made it a property of the client itself
dendroNetwork
Six releases, six identical bodies — the feed carries the package abstract instead of release notes
chattr
chattr deleted every LLM integration it had written and outsourced the lot to ellmer
See all cloudml alternatives → · See all patentsview alternatives →
Recent activity from cloudml and patentsview
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 6mo agopatentsviewRebuilt for PatentsView's new API: keys, nested endpoints ⚡
- 0y agocloudmlDocumentation updated for CRAN
- 4y agopatentsviewMoves to HTTPS endpoints and handles API throttling
- 6y agocloudmlai-platform command adopted; custom pre-install commands added
- 7y agopatentsviewVignettes dropped so CRAN builds survive API outages
- 7y agocloudmlDefault runtime moves to TensorFlow 1.9
- 8y agocloudmlPatch for CRAN results and a packrat error
- 8y agocloudmlCloud training, GPU jobs, tuning and deployment from R
- 8y agopatentsviewAPI examples wrapped in dontrun for CRAN stability
- 8y agopatentsviewcast_pv_data() converts returned columns to real types
- 9y agopatentsviewFirst release: query DSL for the PatentsView API
Frequently asked questions
What is the difference between cloudml and patentsview?
They serve adjacent needs but don't currently overlap on shipped themes. cloudml and patentsview 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 patentsview?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. cloudml and patentsview 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 patentsview?
Top patentsview alternatives in Analytics are ranked by recent ship velocity. Browse the "patentsview alternatives" section above for the current picks, or visit /alternatives/patentsview for the full list with editorial commentary on each.