r2rtf
The clinical-report table engine learned Chinese, then learned to leave RTF entirely
A side-by-side editorial comparison of chattr and osmextract — release velocity, themes, recent moves, and the top alternatives to consider.
chattr deleted every LLM integration it had written and outsourced the lot to ellmer
chattr puts a large language model inside the RStudio IDE, either through a Shiny app or directly at the console. As of 0.3.0 it no longer talks to any model provider itself: all integration goes through ellmer, and the hand-written OpenAI, Databricks and LlamaGPT backends were removed. The package's supported model list is now whatever ellmer supports, and the Shiny app streams responses through ellmer rather than managing a background process.
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.
chattr puts a large language model inside the RStudio IDE, either through a Shiny app or directly at the console. As of 0.3.0 it no longer talks to any model provider itself: all integration goes through ellmer, and the hand-written OpenAI, Databricks and LlamaGPT backends were removed. The package's supported model list is now whatever ellmer supports, and the Shiny app streams responses through ellmer rather than managing a background process.
The first two releases show why that happened. Each provider brought its own error formats, token discovery and response handling, and 0.2.0 is largely a list of per-provider repairs — OpenAI error parsing, Copilot token discovery and model defaults, a new Databricks foundation model backend. Maintaining that surface scales linearly with the number of providers, and the pivot to ellmer trades it for a single dependency. The cost shows up immediately in 0.3.1, which exists solely to absorb a change in ellmer's token object.
Expect chattr's releases to now track ellmer's, as 0.3.1 already does, with the package's own work concentrating on the IDE experience rather than model connectivity. New provider support will arrive without a chattr release at all.
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 chattr 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
Six years since the last functional change, and Google renamed the service it wraps in the release before that
See all chattr 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. chattr 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. chattr 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 chattr alternatives in Analytics are ranked by recent ship velocity. Browse the "chattr alternatives" section above for the current picks, or visit /alternatives/chattr 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.