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osmdata vs rstanarm

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

osmdata vs rstanarm: at a glance

Featureosmdatarstanarm
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesopenstreetmap, overpass-api, spatial-data, breaking-changesbayesian, stan, regression-models, dependency-migration
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is osmdata?

osmdata keeps tightening its Overpass query surface, breaking small things to get types right.

The last two releases are the substantive ones. 0.4.0 lets `getbb()` resolve OSM relations via Wikidata ids, adds `filter_osm_user()` to Overpass query objects, and corrects metadata typing so timestamps are POSIXct rather than locale-dependent strings. 0.3.0 dropped the re-exported magrittr pipe, raised the R floor to 4.1 for the base pipe, and fixed polygon output to follow the OGC simple-features model instead of treating every ring as an independent polygon. Earlier entries are CRAN repairs and query-construction fixes.

Read the full osmdata trajectory →

What is rstanarm?

rstanarm is community-maintained now, tracking Stan and lme4 rather than adding models.

2.32.2 is entirely infrastructure and dependency work: formula machinery migrated from lme4 to reformulas, `r_eff` no longer computed for loo by default, the Stan R packages repo replaced by R-Universe, rstantools adopted to fix build and export errors, and CRAN NOTE cleanups — contributed largely by four first-time contributors. 2.32.1 and 2.26.1 follow the same pattern, tracking rstan syntax and adding `posterior::as_draws()` support. The last release with substantive modelling content is 2.21.1, which changed how default priors are determined and flipped `autoscale` to FALSE outside default priors.

Read the full rstanarm trajectory →

osmdata vs rstanarm: editorial side-by-side

O
osmdata
ANALYTICS
0.0

osmdata keeps tightening its Overpass query surface, breaking small things to get types right.

◆ Current state

The last two releases are the substantive ones. 0.4.0 lets `getbb()` resolve OSM relations via Wikidata ids, adds `filter_osm_user()` to Overpass query objects, and corrects metadata typing so timestamps are POSIXct rather than locale-dependent strings. 0.3.0 dropped the re-exported magrittr pipe, raised the R floor to 4.1 for the base pipe, and fixed polygon output to follow the OGC simple-features model instead of treating every ring as an independent polygon. Earlier entries are CRAN repairs and query-construction fixes.

◆ Where it's heading

The pattern is deliberate correctness work: each release accepts a small breaking change to make returned objects match the standard they claim to follow, whether that is OGC polygon structure, POSIXct timestamps, or UTF-8 metadata columns. Alongside it, the Overpass query builder keeps gaining filters — by area, by out type, by osm_types, now by user and via Wikidata. The package is maturing rather than expanding.

◆ Prediction

More Overpass filter and query-object composition helpers are the likeliest next additions, since that is where both recent releases put their new surface.

R
rstanarm
ANALYTICS
0.0

rstanarm is community-maintained now, tracking Stan and lme4 rather than adding models.

◆ Current state

2.32.2 is entirely infrastructure and dependency work: formula machinery migrated from lme4 to reformulas, `r_eff` no longer computed for loo by default, the Stan R packages repo replaced by R-Universe, rstantools adopted to fix build and export errors, and CRAN NOTE cleanups — contributed largely by four first-time contributors. 2.32.1 and 2.26.1 follow the same pattern, tracking rstan syntax and adding `posterior::as_draws()` support. The last release with substantive modelling content is 2.21.1, which changed how default priors are determined and flipped `autoscale` to FALSE outside default priors.

◆ Where it's heading

The package has moved from feature development into ecosystem maintenance, and the contributor list shows why it survives: outside developers keep it compiling against a moving Stan, lme4 and CRAN. The `as_draws()` support and the reformulas migration both point the same way — rstanarm increasingly consumes shared infrastructure (posterior, reformulas, rstantools) instead of carrying its own.

◆ Prediction

Expect the next release to track another upstream change — rstan, reformulas or CRAN policy — rather than add model families. The pre-fit model surface looks settled.

Alternatives to osmdata and rstanarm

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 osmdata or rstanarm.

See all osmdata alternatives → · See all rstanarm alternatives →

Recent activity from osmdata and rstanarm

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

  1. 1mo agoosmdataosmdata 0.4.0
  2. 10mo agorstanarmrstanarm 2.32.2 migrates formula machinery to reformulas
  3. 11mo agoosmdataosmdata 0.3.0
  4. 2y agorstanarmrstanarm 2.32.1 fixes unit_vector error, enables LTO
  5. 2y agorstanarmrstanarm 2.26.1 adopts new rstan syntax and as_draws()
  6. 2y agoosmdataosmdata 0.2.5 resubmitted after CRAN removal
  7. 3y agoosmdataosmdata 0.2.3 fixes test broken by sp deprecation
  8. 3y agoosmdataosmdata 0.2.2 adds out:csv queries and centre coordinates
  9. 3y agoosmdataosmdata 0.2.1 deprecates nodes_only, fixes memory leaks
  10. 4y agorstanarmrstanarm 2.21.3 fixes loo() and adds stan_jm offsets
  11. 6y agorstanarmrstanarm 2.21.1 changes default prior behaviour

Frequently asked questions

What is the difference between osmdata and rstanarm?

They serve adjacent needs but don't currently overlap on shipped themes. osmdata and rstanarm 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 osmdata better than rstanarm?

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

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

What are the best alternatives to rstanarm?

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