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Comparison · Infra & APIs

inlabru vs melodi

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

inlabru vs melodi: at a glance

Featureinlabrumelodi
SectorInfra & APIsInfra & APIs
Velocity score2.50.0
Sparks · 30d00
Top themesbayesian-modelling, spatial-statistics, r-package, api-consolidationofficial-statistics, api-client, insee, france
Last editorial update3h ago40m 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 melodi?

INSEE's statistics API gets a French R client that keeps meeting its edge cases

Rmelodi is InseeFrLab's R client for the Melodi APIs, which serve French official statistics. It reached 1.0.0 in February 2026 with the technical call parameters moved out of function arguments and into options(), and a per-request row limit raised to 100,000 on the server side. Everything since has been dataset-specific: field names that vary between datasets, geography labels, performance.

Read the full melodi trajectory →

inlabru vs melodi: 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.

M
melodi
INFRA · APIS
0.0

INSEE's statistics API gets a French R client that keeps meeting its edge cases

◆ Current state

Rmelodi is InseeFrLab's R client for the Melodi APIs, which serve French official statistics. It reached 1.0.0 in February 2026 with the technical call parameters moved out of function arguments and into options(), and a per-request row limit raised to 100,000 on the server side. Everything since has been dataset-specific: field names that vary between datasets, geography labels, performance.

◆ Where it's heading

The work is convergence with an API that is still moving. Version 0.3.0 added label lookups so codes become readable; 1.0.0 centralised configuration; 1.0.1 and 1.0.2 each fix a place where a real dataset does not match the assumed shape — get_range_geo() needing an extra label field, then the consumer price index series naming its value column differently from every other dataset. Release notes are in French, which is consistent with the audience.

◆ Prediction

The 1.0.x pattern is one dataset-shape exception per release, which suggests the client is still discovering how much the Melodi datasets vary rather than converging on a general parser. Expect more of the same until the variation is handled generically.

Alternatives to inlabru and melodi

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 melodi.

See all inlabru alternatives → · See all melodi alternatives →

Recent activity from inlabru and melodi

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

  1. 23d agoinlabruPredictor linearisation rewritten; broom tidiers, truncated families
  2. 3mo agoinlabruBugfix release: factor contrasts, raster extraction, error classes
  3. 5mo agomelodiget_data() handles value columns not named OBS_VALUE_NIVEAU
  4. 5mo agoinlabruNew mappers, standardised cgeneric support, bru_obs storage refactor
  5. 6mo agomelodiGeography labels added and the lookup loop vectorised
  6. 6mo agomelodiCall parameters move from arguments into options()
  7. 7mo agomelodiBroken documentation examples and vcr 2 test migration
  8. 8mo agomelodiCode label lookups for geography and every other dimension
  9. 1y agoinlabruMapper classes shortened to bm_*, experimental predictor aggregation
  10. 1y agoinlabruDrops sp and ggmap for an sf-native spatial stack

Frequently asked questions

What is the difference between inlabru and melodi?

They serve adjacent needs but don't currently overlap on shipped themes. inlabru 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 inlabru better than melodi?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. inlabru 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 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 melodi?

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