HydroPortailStats
France's national flood statistics, ported out of Fortran and into R.
A side-by-side editorial comparison of cocoon and finnts — release velocity, themes, recent moves, and the top alternatives to consider.
A statistics-formatting helper in maintenance mode, tracking R-devel one fix at a time
cocoon formats statistical output for manuscripts, converting model and test objects into publication-ready strings. Its surface settled early: format_stats() is a generic that dispatches on object class, introduced in 0.1.0 to supersede the earlier format_corr() and format_ttest(), and extended in 0.2.0 to cover aov, lm, glm and the lme4 and lmerTest mixed-model families. The two releases since have been single-issue compatibility fixes against changes to wilcox.test() in R-devel.
Microsoft's automated forecasting framework, still mostly a one-maintainer effort.
finnts automates time-series forecasting end to end — feature engineering, model selection, hierarchical reconciliation — on a tidymodels backbone. Recent releases have concentrated on global models (one model fitted across many series) and on hierarchical reconciliation, which has needed repeated correction at weekly granularity. Release notes are auto-generated pull-request lists, so the detail lives in the PRs rather than in the changelog.
cocoon formats statistical output for manuscripts, converting model and test objects into publication-ready strings. Its surface settled early: format_stats() is a generic that dispatches on object class, introduced in 0.1.0 to supersede the earlier format_corr() and format_ttest(), and extended in 0.2.0 to cover aov, lm, glm and the lme4 and lmerTest mixed-model families. The two releases since have been single-issue compatibility fixes against changes to wilcox.test() in R-devel.
The package reached feature completeness for its stated job quickly and has been in maintenance since early 2025. Both 0.2.1 and 0.3.1 address the same upstream moving part - how wilcox.test() computes exact versus asymptotic distributions in development versions of R - which is the shape of a package whose own code is stable and whose risk lives entirely in what it wraps. Nothing in the recent entries points at new statistical object types.
Further releases are likely to stay reactive, triggered by R-devel or dependency changes rather than by new formatting methods, unless a specific model class is requested.
finnts automates time-series forecasting end to end — feature engineering, model selection, hierarchical reconciliation — on a tidymodels backbone. Recent releases have concentrated on global models (one model fitted across many series) and on hierarchical reconciliation, which has needed repeated correction at weekly granularity. Release notes are auto-generated pull-request lists, so the detail lives in the PRs rather than in the changelog.
Cadence is roughly annual and the commit history is almost entirely one maintainer, with occasional outside contributions. The direction across the last four releases is consolidation of the forecasting internals — multi-horizon models, feature selection, reconciliation fixes — rather than new surface for users. The changelogs themselves are unedited PR dumps, which makes the arc harder to read than the work probably warrants.
Hierarchical reconciliation has produced a bug fix in three of the last four releases, so the next one likely touches it again; nothing in the entries points to a specific new capability.
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 cocoon or finnts.
France's national flood statistics, ported out of Fortran and into R.
Sign, zero and narrative restrictions brought into the bsvars ecosystem.
Fast design-based estimators for experiments, coasting on CRAN patches.
The grammar of uncertainty visualization, now drawing the uncertainty in its own estimates.
IP address vectors for R that hit 1.0 and then went quiet.
A column-key toolkit for stitching decades of ecological field data into one table.
See all cocoon alternatives → · See all finnts alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. cocoon and finnts 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. cocoon and finnts 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 Infra & APIs products to evaluate alongside.
Top cocoon alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "cocoon alternatives" section above for the current picks, or visit /alternatives/cocoon for the full list with editorial commentary on each.
Top finnts alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "finnts alternatives" section above for the current picks, or visit /alternatives/finnts for the full list with editorial commentary on each.