ANALYTICS
A tables-listings-graphs package that reached CRAN and then went quiet.
Alternatives · analytics tools
cloudml alternatives
The best cloudml alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 14, 2026
Looking for the best alternatives to cloudml? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, cloudml shipped 0 meaningful updates in the last 30 days and carries a velocity score of 0.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About 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.
Velocity 0.0 · Last update 1h ago
Top 12 alternatives to cloudml
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
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Tplyr made clinical summary tables explain where every number came from.
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Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
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A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
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gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
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A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
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datasetjson rebuilt its object model to track the CDISC Dataset-JSON 1.1 schema.
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A TIFF reader for scientific imaging that spent its recent releases shedding weight and fixing memory bugs.
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tern is migrating its entire analysis-function catalogue off make_afun(), one release at a time.
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A reference posterior database that hit 1.0 with a paper, and is now graded on the statistics it ships.
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Markdown round-tripping through XML, where every release is another thing it learned not to mangle.
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A Qualtrics data-cleaning package that has been in maintenance mode since its CRAN acceptance.
cloudml vs alternatives — shipping velocity at a glance
Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| cloudml (baseline) | 0.0 | 0 | machine-learninggoogle-cloudtensorflow | — |
| tidytlg | 0.0 | 0 | clinical-trialstablesr-package | — |
| Tplyr | 0.0 | 0 | clinical-trialstablestraceability | 1.0.0 introduces the traceability metadata framework |
| rlistings | 0.0 | 0 | clinical-trialslistingspagination | — |
| hoardr | 0.0 | 0 | cachingr-packageropensci | — |
| gigs | 0.0 | 0 | growth-standardsneonatal-healthr-package | Conversion API rewritten around data frames and classify_growth() |
| riem | 0.0 | 0 | weather-dataapi-clientr-package | — |
| datasetjson | 0.0 | 0 | clinical-datacdiscjson | Dataset-JSON 1.1.0 support with a redesigned object model |
| ijtiff | 0.0 | 0 | imagingtiffr-package | — |
| tern | 0.0 | 0 | clinical-trialstablesr-package | Two dozen more analysis functions drop make_afun() |
| posteriordb | 0.0 | 0 | bayesianbenchmarkingreference-data | — |
| tinkr | 0.0 | 0 | markdownxmlr-package | First release: the extensible yarn R6 class |
| excluder | 0.0 | 0 | survey-datadata-cleaningr-package | — |
The 12 best cloudml alternatives, in depth
1. tidytlg · velocity 0.0
A tables-listings-graphs package that reached CRAN and then went quiet.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where cloudml leans on machine learning, google cloud and tensorflow, tidytlg focuses on clinical trials, tables and r package.
tidytlg and cloudml have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
2. Tplyr · velocity 0.0
Tplyr made clinical summary tables explain where every number came from.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “1.0.0 introduces the traceability metadata framework”.
Where cloudml leans on machine learning, google cloud and tensorflow, Tplyr focuses on clinical trials, tables and traceability.
Tplyr and cloudml have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
3. rlistings · velocity 0.0
Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where cloudml leans on machine learning, google cloud and tensorflow, rlistings focuses on clinical trials, listings and pagination.
rlistings and cloudml have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full rlistings trajectory → · Compare cloudml vs rlistings →
4. hoardr · velocity 0.0
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where cloudml leans on machine learning, google cloud and tensorflow, hoardr focuses on caching, r package and ropensci.
hoardr and cloudml have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. gigs · velocity 0.0
Gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Conversion API rewritten around data frames and classify_growth()”.
Where cloudml leans on machine learning, google cloud and tensorflow, gigs focuses on growth standards, neonatal health and r package.
gigs and cloudml have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
6. riem · velocity 0.0
A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where cloudml leans on machine learning, google cloud and tensorflow, riem focuses on weather data, api client and r package.
riem and cloudml have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
7. datasetjson · velocity 0.0
Datasetjson rebuilt its object model to track the CDISC Dataset-JSON 1.1 schema.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Dataset-JSON 1.1.0 support with a redesigned object model”.
Where cloudml leans on machine learning, google cloud and tensorflow, datasetjson focuses on clinical data, cdisc and json.
datasetjson and cloudml have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full datasetjson trajectory → · Compare cloudml vs datasetjson →
8. ijtiff · velocity 0.0
A TIFF reader for scientific imaging that spent its recent releases shedding weight and fixing memory bugs.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where cloudml leans on machine learning, google cloud and tensorflow, ijtiff focuses on imaging, tiff and r package.
ijtiff and cloudml have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
9. tern · velocity 0.0
Tern is migrating its entire analysis-function catalogue off make_afun(), one release at a time.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Two dozen more analysis functions drop make_afun()”.
Where cloudml leans on machine learning, google cloud and tensorflow, tern focuses on clinical trials, tables and r package.
tern and cloudml have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
10. posteriordb · velocity 0.0
A reference posterior database that hit 1.0 with a paper, and is now graded on the statistics it ships.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where cloudml leans on machine learning, google cloud and tensorflow, posteriordb focuses on bayesian, benchmarking and reference data.
posteriordb and cloudml have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full posteriordb trajectory → · Compare cloudml vs posteriordb →
11. tinkr · velocity 0.0
Markdown round-tripping through XML, where every release is another thing it learned not to mangle.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “First release: the extensible yarn R6 class”.
Where cloudml leans on machine learning, google cloud and tensorflow, tinkr focuses on markdown, xml and r package.
tinkr and cloudml have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
12. excluder · velocity 0.0
A Qualtrics data-cleaning package that has been in maintenance mode since its CRAN acceptance.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where cloudml leans on machine learning, google cloud and tensorflow, excluder focuses on survey data, data cleaning and r package.
excluder and cloudml have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Frequently asked questions
What are the best alternatives to cloudml?
The top cloudml alternatives we currently track in analytics tools are tidytlg, Tplyr, rlistings, hoardr, gigs, ranked by recent ship velocity.
How is this list of cloudml alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare cloudml directly with one of these alternatives?
Yes — every card has a "Compare with cloudml" link to a side-by-side /compare page.