r2rtf
The clinical-report table engine learned Chinese, then learned to leave RTF entirely
A side-by-side editorial comparison of cloudml and osmextract — release velocity, themes, recent moves, and the top alternatives to consider.
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.
osmextract stopped throwing your OpenStreetMap downloads away at the end of every session.
osmextract downloads OpenStreetMap extracts from Geofabrik, BBBike and openstreetmap.fr and translates them into sf objects via GDAL. The 0.6.0 release moved its download cache from `tempdir()` to a persistent `tools::R_user_dir()` location and raised the R floor to 4.1.0 to get it. It also made spatial `place` inputs self-clipping: pass an sf or bbox object and the boundary is now set to match, so only the relevant slice of a country-sized extract is processed.
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.
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.
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.
osmextract downloads OpenStreetMap extracts from Geofabrik, BBBike and openstreetmap.fr and translates them into sf objects via GDAL. The 0.6.0 release moved its download cache from `tempdir()` to a persistent `tools::R_user_dir()` location and raised the R floor to 4.1.0 to get it. It also made spatial `place` inputs self-clipping: pass an sf or bbox object and the boundary is now set to match, so only the relevant slice of a country-sized extract is processed.
Two threads run through every release. One is chasing GDAL — SQL syntax adjusted for 3.10, ogr2ogr options fixed for 3.9, and an `osmconf.ini` that 0.6.0 finally keeps automatically in sync with whatever sf or GDAL provides rather than shipping a snapshot. The other is the road-network extraction added experimentally in 0.3.1, which has been quietly accumulating real routing semantics since: `access = no` links retained when the mode-specific tag permits them, a `oneway` column by default for driving, and `motor_vehicle` always included.
Given that `oe_get_network()` has gained transport-mode detail in three separate releases while remaining flagged as experimental, the next substantive work is most likely there — either more modes or a formal exit from experimental status.
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 osmextract.
The clinical-report table engine learned Chinese, then learned to leave RTF entirely
New stewardship at openpharma, then two releases adding the methods MCP-Mod was missing
The stubbing library added httr2 support, then spent a year cutting itself free of everything else
crul took mocking back from webmockr and made it a property of the client itself
Six releases, six identical bodies — the feed carries the package abstract instead of release notes
chattr deleted every LLM integration it had written and outsourced the lot to ellmer
See all cloudml alternatives → · See all osmextract alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. cloudml and osmextract 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. cloudml and osmextract 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.
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.
Top osmextract alternatives in Analytics are ranked by recent ship velocity. Browse the "osmextract alternatives" section above for the current picks, or visit /alternatives/osmextract for the full list with editorial commentary on each.