← Back to home
Comparison · Analytics

mlr3proba vs osmdata

A side-by-side editorial comparison of mlr3proba and osmdata — release velocity, themes, recent moves, and the top alternatives to consider.

mlr3proba vs osmdata: at a glance

Featuremlr3probaosmdata
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmlr3, survival-analysis, probabilistic-learning, dependency-maintenanceopenstreetmap, overpass-api, spatial-data, breaking-changes
Last editorial update1h ago58m ago
WebsiteVisit →Visit →

What is mlr3proba?

mlr3proba is shedding weight as its survival work moves into sibling packages

mlr3proba provides probabilistic supervised learning for mlr3 — survival analysis, density estimation, and the measures that go with them. Recent releases are almost entirely upkeep: a distr6 fork to work around an upstream problem, an ooplah fix, a predict-type correction, and registration in mlr_reflections$loaded_packages. The one deletion is telling, with LearnerDensPenalized removed after pendensity left CRAN.

Read the full mlr3proba trajectory →

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 →

mlr3proba vs osmdata: editorial side-by-side

M
mlr3proba
ANALYTICS
0.0

mlr3proba is shedding weight as its survival work moves into sibling packages

◆ Current state

mlr3proba provides probabilistic supervised learning for mlr3 — survival analysis, density estimation, and the measures that go with them. Recent releases are almost entirely upkeep: a distr6 fork to work around an upstream problem, an ooplah fix, a predict-type correction, and registration in mlr_reflections$loaded_packages. The one deletion is telling, with LearnerDensPenalized removed after pendensity left CRAN.

◆ Where it's heading

The package is being pared back rather than extended. Its README now points at survdistr and mlr3cmprsk as matured alternatives for parts of what it covers, which reads as scope being handed off, while the Cox proportional-hazards autoplot arrived from mlr3viz in the other direction. Several fixes exist to route around dependencies that broke or disappeared, which is the recurring cost of building on a long chain of specialized CRAN packages.

◆ Prediction

The dependency churn suggests more consolidation — further reliance on survdistr and mlr3cmprsk, and more learners retired when the package underneath them goes unmaintained.

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.

Alternatives to mlr3proba 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 mlr3proba or osmdata.

See all mlr3proba alternatives → · See all osmdata alternatives →

Recent activity from mlr3proba and osmdata

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

  1. 1mo agoosmdataosmdata 0.4.0
  2. 2mo agomlr3probamlr3proba 0.8.10 registers itself in the mlr3 loaded-packages registry
  3. 4mo agomlr3probamlr3proba 0.8.9 drops LearnerDensPenalized after pendensity left CRAN
  4. 5mo agomlr3probamlr3proba 0.8.8
  5. 5mo agomlr3probamlr3proba 0.8.7
  6. 9mo agomlr3probamlr3proba 0.8.5
  7. 10mo agomlr3probamlr3proba 0.8.4 takes over the Cox proportional-hazards autoplot
  8. 11mo agoosmdataosmdata 0.3.0
  9. 2y agoosmdataosmdata 0.2.5 resubmitted after CRAN removal
  10. 3y agoosmdataosmdata 0.2.3 fixes test broken by sp deprecation
  11. 3y agoosmdataosmdata 0.2.2 adds out:csv queries and centre coordinates
  12. 3y agoosmdataosmdata 0.2.1 deprecates nodes_only, fixes memory leaks

Frequently asked questions

What is the difference between mlr3proba and osmdata?

They serve adjacent needs but don't currently overlap on shipped themes. mlr3proba and osmdata 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 mlr3proba better than osmdata?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mlr3proba and osmdata 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 mlr3proba?

Top mlr3proba alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3proba alternatives" section above for the current picks, or visit /alternatives/mlr3proba 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.