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Comparison · Infra & APIs

inlabru vs sdcMicro

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

inlabru vs sdcMicro: at a glance

FeatureinlabrusdcMicro
SectorInfra & APIsInfra & APIs
Velocity score2.50.0
Sparks · 30d00
Top themesbayesian-modelling, spatial-statistics, r-package, api-consolidationdisclosure-control, anonymization, llm-assisted-workflows, k-anonymity
Last editorial update2h ago48m ago
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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 sdcMicro?

A 20-year anonymization toolbox now has a language model inside its refinement loop.

sdcMicro is the reference R implementation of statistical disclosure control — k-anonymity, local suppression, PRAM, microaggregation, record swapping — used by national statistical offices, with a Shiny GUI (sdcApp) as its second face. The feed shows a long GUI-maintenance era through 2018-2022 and then a gap, and the package that reappears in 5.8.2 has an AI_applyAnonymization() workflow and a query_llm() helper that the older entries know nothing about. The July release tunes that loop rather than introducing it.

Read the full sdcMicro trajectory →

inlabru vs sdcMicro: 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.

S
sdcMicro
INFRA · APIS
0.0

A 20-year anonymization toolbox now has a language model inside its refinement loop.

◆ Current state

sdcMicro is the reference R implementation of statistical disclosure control — k-anonymity, local suppression, PRAM, microaggregation, record swapping — used by national statistical offices, with a Shiny GUI (sdcApp) as its second face. The feed shows a long GUI-maintenance era through 2018-2022 and then a gap, and the package that reappears in 5.8.2 has an AI_applyAnonymization() workflow and a query_llm() helper that the older entries know nothing about. The July release tunes that loop rather than introducing it.

◆ Where it's heading

Two threads run in parallel. The visible one is the LLM-assisted anonymization path maturing: 5.8.2 gives its refinement loop early stopping via tol and patience so it stops when the combined utility score plateaus instead of burning all max_iter rounds, and teaches query_llm() to drop the temperature parameter for reasoning models that reject it. The other is unglamorous statistical correctness — a distinct l-diversity computation fixed for NAs in key variables, with the C++ simplified and tests added. The release also ships reproducibility scripts for a SoftwareX paper, which suggests the AI path is being written up rather than quietly trialled.

◆ Prediction

The provider-compatibility fix is reactive — a parameter dropped because one model family rejected it — so expect more of the same as query_llm() meets other backends. Given tol and patience were added to stop wasted iterations, cost or runtime of the refinement loop is the live concern, and further controls on it are the likeliest next move.

Alternatives to inlabru and sdcMicro

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 sdcMicro.

See all inlabru alternatives → · See all sdcMicro alternatives →

Recent activity from inlabru and sdcMicro

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

  1. 23d agoinlabruPredictor linearisation rewritten; broom tidiers, truncated families
  2. 1mo agosdcMicroEarly stopping for the AI anonymization loop, plus GPT-5.x support
  3. 3mo agoinlabruBugfix release: factor contrasts, raster extraction, error classes
  4. 5mo agoinlabruNew mappers, standardised cgeneric support, bru_obs storage refactor
  5. 1y agoinlabruMapper classes shortened to bm_*, experimental predictor aggregation
  6. 1y agoinlabruDrops sp and ggmap for an sf-native spatial stack
  7. 4y agosdcMicrorecordSwap() adds targeted record swapping
  8. 5y agosdcMicroTwo new information-loss measures and a run of sdcApp fixes
  9. 5y agosdcMicroCompatibility fixes for R 4.1 sorting and rsconnect deployment
  10. 8y agosdcMicroMinor release, mostly GUI work
  11. 8y agosdcMicrodUtility() corrected so IL1 and IL1s can be distinguished

Frequently asked questions

What is the difference between inlabru and sdcMicro?

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 sdcMicro?

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 sdcMicro?

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