← Back to home
Comparison · Infra & APIs

inlabru vs usmapdata

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

inlabru vs usmapdata: at a glance

Featureinlabruusmapdata
SectorInfra & APIsInfra & APIs
Velocity score2.52.5
Sparks · 30d00
Top themesbayesian-modelling, spatial-statistics, r-package, api-consolidationr-packages, geospatial, census-data, cartography
Last editorial update1h ago37m ago
WebsiteVisit →Visit →

What is inlabru?

A Bayesian spatial modelling package rebuilding its foundations one breaking release at a time

inlabru wraps INLA for spatial, point-process and latent-Gaussian models in R. It is mid-modernisation: since 2.12.0 cut the sp stack, each release has renamed part of the public surface, standardised how external packages attach custom mappers, or replaced internal machinery. 2.15.0 is the latest step, pairing a new predictor evaluation and linearisation implementation with broom's tidy(), glance() and augment() methods and four non-zero-truncated observation families.

Read the full inlabru trajectory →

What is usmapdata?

usmapdata ships its 2025 shapefiles on the year-indexed model it adopted in 0.4.0.

usmapdata supplies the boundary data behind usmap's plotting functions. Since 0.4.0 it has been year-indexed: us_map(data_year = ) selects a vintage, and each Census release is added as its own year with older ones still reachable. 1.1.0 adds 2025. 1.0.0 closed the package's longest-standing gap by adding Puerto Rico, retroactively across every vintage.

Read the full usmapdata trajectory →

inlabru vs usmapdata: editorial side-by-side

I
inlabru
INFRA · APIS
2.5

A Bayesian spatial modelling package rebuilding its foundations one breaking release at a time

◆ Current state

inlabru wraps INLA for spatial, point-process and latent-Gaussian models in R. It is mid-modernisation: since 2.12.0 cut the sp stack, each release has renamed part of the public surface, standardised how external packages attach custom mappers, or replaced internal machinery. 2.15.0 is the latest step, pairing a new predictor evaluation and linearisation implementation with broom's tidy(), glance() and augment() methods and four non-zero-truncated observation families.

◆ Where it's heading

The arc is consolidation of the extension surface rather than expansion of the model catalogue. Every release adds mappers or families with one hand and removes a dependency, a re-export or a deprecated path with the other — plyr in 2.15.0, fmesher's Depends entry in 2.14.1, sp and ggmap in 2.12.0. The compatibility flag bru_compat_pre_2_14_enable and the temporary fm_int/fm_pixels re-exports show a maintainer sequencing breaks across releases instead of landing them together.

◆ Prediction

The 2.14 compatibility flag is still defaulting to TRUE and the fmesher re-exports are described in the entries as temporary, so the next obvious move is a release that flips bru_compat_pre_2_14_enable off and drops those re-exports.

U
usmapdata
INFRA · APIS
2.5

usmapdata ships its 2025 shapefiles on the year-indexed model it adopted in 0.4.0.

◆ Current state

usmapdata supplies the boundary data behind usmap's plotting functions. Since 0.4.0 it has been year-indexed: us_map(data_year = ) selects a vintage, and each Census release is added as its own year with older ones still reachable. 1.1.0 adds 2025. 1.0.0 closed the package's longest-standing gap by adding Puerto Rico, retroactively across every vintage.

◆ Where it's heading

The package has settled into a predictable rhythm — one shapefile vintage per year, with structural change rare and clustered. The two changes that mattered were data_year in 0.4.0, which turned a single-vintage dataset into a time series, and the tibble-to-data-frame switch in 0.6.0 that reduced what downstream callers have to depend on.

◆ Prediction

The stated policy — each year added going forward, previous years reachable through data_year — points to a 2026 vintage as the next release. Nothing in these notes suggests further change to the data model.

Alternatives to inlabru and usmapdata

Other Infra & APIs 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 inlabru or usmapdata.

See all inlabru alternatives → · See all usmapdata alternatives →

Recent activity from inlabru and usmapdata

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

  1. 23d agoinlabruPredictor linearisation rewritten; broom tidiers, truncated families
  2. 23d agousmapdata2025 Census shapefiles added
  3. 3mo agoinlabruBugfix release: factor contrasts, raster extraction, error classes
  4. 5mo agoinlabruNew mappers, standardised cgeneric support, bru_obs storage refactor
  5. 0y agousmapdataPuerto Rico added across every map vintage
  6. 1y agoinlabruMapper classes shortened to bm_*, experimental predictor aggregation
  7. 1y agousmapdataus_map() returns a data frame instead of a tibble
  8. 1y agousmapdata2024 Census shapefiles added
  9. 1y agousmapdatadata_year turns the package into a multi-vintage archive
  10. 1y agoinlabruDrops sp and ggmap for an sf-native spatial stack
  11. 2y agousmapdataMap data moves to 2023 shapefiles

Frequently asked questions

What is the difference between inlabru and usmapdata?

They serve adjacent needs but don't currently overlap on shipped themes. inlabru and usmapdata are shipping at a similar cadence (velocity 2.5 vs 2.5, 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 inlabru better than usmapdata?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. inlabru and usmapdata are shipping at a similar cadence (velocity 2.5 vs 2.5, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.

What are the best alternatives to inlabru?

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

What are the best alternatives to usmapdata?

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