rnaturalearth
rnaturalearth finished its sp exit and is now optimising how the data actually arrives.
Comparison · Analytics
mlr3tuning vs osmdata
A side-by-side editorial comparison of mlr3tuning and osmdata — release velocity, themes, recent moves, and the top alternatives to consider.
mlr3tuning vs osmdata: at a glance
What is mlr3tuning?
mlr3tuning is rebuilding its async machinery under a stable public surface
mlr3tuning provides hyperparameter optimization for the mlr3 ecosystem, and its recent history is dominated by the asynchronous tuning path: archive freezing, callback stages around queue evaluation, and version-locked compatibility with the rush backend. Releases pair a small feature with several fixes and an explicit compatibility line naming the mlr3 or rush version they track. The most recent release drops all workarounds for older rush versions, which suggests that dependency has stabilized enough to require rather than accommodate.
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.
mlr3tuning vs osmdata: editorial side-by-side
mlr3tuning
2.5ANALYTICS
mlr3tuning is rebuilding its async machinery under a stable public surface
◆ Current state
mlr3tuning provides hyperparameter optimization for the mlr3 ecosystem, and its recent history is dominated by the asynchronous tuning path: archive freezing, callback stages around queue evaluation, and version-locked compatibility with the rush backend. Releases pair a small feature with several fixes and an explicit compatibility line naming the mlr3 or rush version they track. The most recent release drops all workarounds for older rush versions, which suggests that dependency has stabilized enough to require rather than accommodate.
◆ Where it's heading
Two things are being tidied at once. The async archive is converging on a consistent data.table representation across batch and async variants, so results are shaped the same regardless of how tuning ran. Separately, the package is becoming a better ecosystem citizen — unioning tuner properties on load instead of overwriting them, removing its callbacks on unload, and raising informative errors from AutoTuner accessors on an untrained model. Both are the marks of a package used as a dependency more than as a destination.
◆ Prediction
With rush pinned to 1.2.0 and the compatibility shims gone, the next release is likely to expose more of the async path through callbacks rather than change the tuning interface.
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.
Alternatives to mlr3tuning and osmdata
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 mlr3tuning or osmdata.
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 mlr3tuning alternatives → · See all osmdata alternatives →
Recent activity from mlr3tuning and osmdata
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 18d agomlr3tuningmlr3tuning 1.6.1 stops clobbering other packages' tuner properties
- 1mo agoosmdataosmdata 0.4.0
- 4mo agomlr3tuningmlr3tuning 1.6.0 aligns archive column order across tuning classes
- 8mo agomlr3tuningmlr3tuning 1.5.1 tracks xgboost 3.1.2.1
- 8mo agomlr3tuningmlr3tuning 1.5.0 adds queue evaluation stages to async callbacks
- 11mo agoosmdataosmdata 0.3.0
- 1y agomlr3tuningmlr3tuning 1.4.0 unifies logging under a base mlr3 logger
- 1y agomlr3tuningmlr3tuning 1.3.0 adds a frozen async archive and leaner worker storage
- 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
Frequently asked questions
What is the difference between mlr3tuning and osmdata?
They serve adjacent needs but don't currently overlap on shipped themes. mlr3tuning is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is mlr3tuning better than osmdata?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mlr3tuning is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to mlr3tuning?
Top mlr3tuning alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3tuning alternatives" section above for the current picks, or visit /alternatives/mlr3tuning for the full list with editorial commentary on each.
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.