rollupTree
The recursive-computation engine under massProps grows the accessors its consumer needed
A side-by-side editorial comparison of inlabru and packageRank — release velocity, themes, recent moves, and the top alternatives to consider.
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.
CRAN download analytics maintained one micro-change at a time, hundreds per year
packageRank computes download counts and percentile ranks from CRAN's logs, with a filtering layer that tries to separate real installs from mirrors, sequences and bots. The recent releases are dense lists of small changes — thirty or more per version — spread across plot arguments, filter behaviour, and the cranDistribution object that now absorbs what packageDistribution() used to do separately.
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.
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.
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.
packageRank computes download counts and percentile ranks from CRAN's logs, with a filtering layer that tries to separate real installs from mirrors, sequences and bots. The recent releases are dense lists of small changes — thirty or more per version — spread across plot arguments, filter behaviour, and the cranDistribution object that now absorbs what packageDistribution() used to do separately.
There is no directional arc here; there is a maintainer keeping a measurement instrument calibrated against a data source that keeps moving. CRAN's logs went missing for a week in 2025 and the package now ships those dates as data and draws them as polygons on every plot. A chatgpt argument has been threaded through the plotting functions since 0.9.6. Function surface churns constantly — arguments renamed, plot helpers archived, others integrated.
Given the cadence, the next release will be another few dozen adjustments concentrated wherever CRAN's logs last surprised the maintainer. The consolidation of plotting arguments toward a single axis.package annotation looks unfinished.
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 packageRank.
The recursive-computation engine under massProps grows the accessors its consumer needed
A mass-properties rollup spends a year on documentation and follows its sibling's API
Six months of releases and not one of them touched the scoring models
A cognitive-science sampling package ships once, then goes quiet for eighteen months
A Bayesian volatility sampler in its maintenance decade, paying for its own speed
A black-box interpreter reaches CRAN, then learns multi-class and survival responses
See all inlabru alternatives → · See all packageRank alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
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.
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.
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.
Top packageRank alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "packageRank alternatives" section above for the current picks, or visit /alternatives/packagerank for the full list with editorial commentary on each.