rnaturalearth
rnaturalearth finished its sp exit and is now optimising how the data actually arrives.
Comparison · Analytics
osmdata vs posterior
A side-by-side editorial comparison of osmdata and posterior — release velocity, themes, recent moves, and the top alternatives to consider.
osmdata vs posterior: at a glance
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.
What is posterior?
posterior keeps deepening two things: the rvar type and Pareto-based diagnostics.
The releases in this window advance on two fronts. The rvar random-variable type gained factor and ordered subtypes (1.4.0), rvar-indexed slicing and `rvar_ifelse()` (1.5.0), base `%*%` matrix multiplication and indexed variable names (1.6.0). Separately, Pareto diagnostics have grown from `pareto_smooth()` options and individual `pareto_khat()`-family functions (1.6.0) through `pit()` for draws and rvars (1.6.1) to exported generalized-Pareto functions and `pareto_pit` (1.7.0). 1.7.1 is a paperwork release for a JOSS submission.
osmdata vs posterior: editorial side-by-side
osmdata
0.0ANALYTICS
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.
posterior
0.0ANALYTICS
posterior keeps deepening two things: the rvar type and Pareto-based diagnostics.
◆ Current state
The releases in this window advance on two fronts. The rvar random-variable type gained factor and ordered subtypes (1.4.0), rvar-indexed slicing and `rvar_ifelse()` (1.5.0), base `%*%` matrix multiplication and indexed variable names (1.6.0). Separately, Pareto diagnostics have grown from `pareto_smooth()` options and individual `pareto_khat()`-family functions (1.6.0) through `pit()` for draws and rvars (1.6.1) to exported generalized-Pareto functions and `pareto_pit` (1.7.0). 1.7.1 is a paperwork release for a JOSS submission.
◆ Where it's heading
posterior is positioning itself as shared infrastructure rather than an end-user package: 1.7.0 explicitly exports generalized-Pareto machinery 'for use in other packages', and the JOSS paper is a citation vehicle for the same audience. The rvar work points the same way — a random-variable type other Bayesian packages can build on. Cadence is steady but unhurried, roughly one feature release a year.
◆ Prediction
More diagnostic functions are likely to be exported for downstream reuse, following the pattern 1.7.0 established with the generalized-Pareto helpers.
Alternatives to osmdata and posterior
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 posterior.
writexl
writexl spent nine years refusing to do formatting, then shipped all of it in 2.0.0.
rgbif
rgbif is steadily pushing users off paged searching and onto real downloads.
rstanarm
rstanarm is community-maintained now, tracking Stan and lme4 rather than adding models.
taxa
taxa started a ground-up rewrite in 2021 and has published almost nothing since.
rotl
rotl's whole release history is keeping name matching honest against a moving taxonomy.
See all osmdata alternatives → · See all posterior alternatives →
Recent activity from osmdata and posterior
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoosmdataosmdata 0.4.0
- 2mo agoposteriorposterior 1.7.1 released for JOSS paper
- 3mo agoposteriorposterior 1.7.0 exports generalized-Pareto functions
- 10mo agoposteriorposterior 1.6.1 adds pit() for draws and rvars
- 11mo agoosmdataosmdata 0.3.0
- 1y agoposteriorposterior 1.6.0 adds Pareto diagnostics and ESS-based thinning
- 2y agoposteriorposterior 1.5.0 adds nested-Rhat and rvar indexing
- 2y agoosmdataosmdata 0.2.5 resubmitted after CRAN removal
- 3y agoosmdataosmdata 0.2.3 fixes test broken by sp deprecation
- 3y agoosmdataosmdata 0.2.2 adds out:csv queries and centre coordinates
- 3y agoosmdataosmdata 0.2.1 deprecates nodes_only, fixes memory leaks
- 3y agoposteriorposterior 1.4.0 adds factor and ordered rvar subtypes
Frequently asked questions
What is the difference between osmdata and posterior?
They serve adjacent needs but don't currently overlap on shipped themes. osmdata and posterior 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 posterior?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. osmdata and posterior 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 posterior?
Top posterior alternatives in Analytics are ranked by recent ship velocity. Browse the "posterior alternatives" section above for the current picks, or visit /alternatives/posterior for the full list with editorial commentary on each.