fillpattern
Pattern fills for ggplot2, hardened against the ways users write sizes
A side-by-side editorial comparison of ecodive and susier — release velocity, themes, recent moves, and the top alternatives to consider.
ecodive rebuilt itself into a broad diversity-metric library, breaking as it went
ecodive computes alpha and beta diversity metrics for ecological and microbiome count data, including phylogenetic measures like Faith's PD and the UniFrac family. The 2.0.0 rewrite expanded it from a handful of metrics to roughly fourteen alpha and thirty beta measures while flipping the expected input orientation to samples-as-rows. Subsequent releases have been spent settling the normalisation interface that expansion exposed.
Fine-mapping workhorse susieR spends its releases hunting null-effect trimming bugs
susieR implements the Sum of Single Effects regression model for variable selection and fine-mapping, widely used in statistical genetics. The recent releases are a tight run of correctness work concentrated in one area: null effect trimming. Version 0.15.55 fixed trimming under the Servin-Stephens residual variance method, 0.15.56 fixed it again for non-uniform prior weights fourteen minutes later, 0.15.57 corrected an ELBO null space term for RSS with X and a matrix symmetry check, and 0.15.58 addressed an alpha0/beta0 issue. Version 0.16.0 migrates the C++ bindings from Rcpp to cpp11 with cpp11armadillo.
ecodive computes alpha and beta diversity metrics for ecological and microbiome count data, including phylogenetic measures like Faith's PD and the UniFrac family. The 2.0.0 rewrite expanded it from a handful of metrics to roughly fourteen alpha and thirty beta measures while flipping the expected input orientation to samples-as-rows. Subsequent releases have been spent settling the normalisation interface that expansion exposed.
This is a package that made its breaking changes deliberately and in a cluster. After 2.0.0 reoriented input and removed the weighted parameter, 2.1.0 superseded rescale with norm, and 2.2.6 changed norm's default from percent to none and removed it from some beta functions entirely. That last one matters more than it reads: normalisation defaults silently change the numbers a metric returns, and the direction is toward making the user state their choice rather than inheriting one.
With the metric surface broad and the normalisation interface now explicit, expect the next releases to stabilise — documentation and edge-case handling around CLR and rarefaction rather than another interface break.
susieR implements the Sum of Single Effects regression model for variable selection and fine-mapping, widely used in statistical genetics. The recent releases are a tight run of correctness work concentrated in one area: null effect trimming. Version 0.15.55 fixed trimming under the Servin-Stephens residual variance method, 0.15.56 fixed it again for non-uniform prior weights fourteen minutes later, 0.15.57 corrected an ELBO null space term for RSS with X and a matrix symmetry check, and 0.15.58 addressed an alpha0/beta0 issue. Version 0.16.0 migrates the C++ bindings from Rcpp to cpp11 with cpp11armadillo.
The version-number churn understates how narrow this work is — four consecutive releases touching the same trimming and residual-variance machinery suggests one area where the implementation and the intended behavior had drifted apart. The 0.16.0 binding migration is the only structural change, and it is invisible to users while mattering for build portability and long-term maintenance. Development is clearly active, with automated release tooling and dependency bumps flowing through the same stream.
With the binding migration just landed, near-term releases are likely to address fallout from it alongside continued fixes in the same trimming and residual-variance code.
Other Analytics 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 ecodive or susier.
Pattern fills for ggplot2, hardened against the ways users write sizes
gcube's recent releases are all packaging metadata, not simulation code
The R port of Quinlan's Cubist gets reproducibility fixes, not new modelling
ggstats keeps widening what a coefficient or Likert plot can be
State-space data simulation for R, filled in one function at a time
rollama turns a local-LLM wrapper into an instrument for reproducible annotation
See all ecodive alternatives → · See all susier alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. ecodive and susier 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. ecodive and susier 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 Analytics products to evaluate alongside.
Top ecodive alternatives in Analytics are ranked by recent ship velocity. Browse the "ecodive alternatives" section above for the current picks, or visit /alternatives/ecodive for the full list with editorial commentary on each.
Top susier alternatives in Analytics are ranked by recent ship velocity. Browse the "susier alternatives" section above for the current picks, or visit /alternatives/susier for the full list with editorial commentary on each.