pr2database
The protist reference database keeps widening past the rRNA gene it was built on.
A side-by-side editorial comparison of ggalign and gofedf — release velocity, themes, recent moves, and the top alternatives to consider.
Composable aligned layouts, rebuilt on S7 while ggplot2 4.0 lands underneath.
ggalign composes multiple ggplots against a shared observation ordering, covering heatmap annotation, oncoplots, phylogenies and circular layouts. Releases have come roughly monthly through 2025, first completing the layout system, then migrating the internals to S7 and absorbing the ggplot2 4.0 changes. The alignment machinery is now exported for other packages to build on.
A two-test goodness-of-fit package opens itself up to any weight function
gofedf runs goodness-of-fit tests built on the empirical distribution function. Its three releases trace a short, clean arc: existence in 2023, then p-values computed from an analytical solution of the integral equation in 2024, then in 2026 a user-supplied weight function that replaces the fixed menu. Cramer-von Mises and Anderson-Darling are now two points in a family rather than the two options.
ggalign composes multiple ggplots against a shared observation ordering, covering heatmap annotation, oncoplots, phylogenies and circular layouts. Releases have come roughly monthly through 2025, first completing the layout system, then migrating the internals to S7 and absorbing the ggplot2 4.0 changes. The alignment machinery is now exported for other packages to build on.
Two threads run in parallel. One widens what can be aligned, with sector facets, ideograms, image point shapes and observation linking. The other keeps rebuilding the foundation, with the S7 migration, repeated renames toward consistent naming, and the deliberate handing of element_polygon() and element_curve() upstream to ggplot2. The renaming is aggressive enough that each recent release soft-deprecates something.
With the internals on S7 and the Patch object exported, the next step is most likely stabilising those names rather than another refactor.
gofedf runs goodness-of-fit tests built on the empirical distribution function. Its three releases trace a short, clean arc: existence in 2023, then p-values computed from an analytical solution of the integral equation in 2024, then in 2026 a user-supplied weight function that replaces the fixed menu. Cramer-von Mises and Anderson-Darling are now two points in a family rather than the two options.
The package is generalising rather than accumulating. Each release removed a hard-coded decision: first how eigenvalues are computed, offering both the analytical route and a matrix approximation; then which weight function defines the statistic at all. The maintainer's own framing in 1.1.0 is a contrast against what earlier versions would not let you do, which is the shape of a package aiming to become a framework.
An arbitrary weight function is the extensibility point that matters for EDF tests; what it lacks is calibration guidance, since Type I error behaviour was the argued benefit of the analytical eigenvalue route. Documented recommendations or diagnostics for user-chosen weights are the natural follow-up, though the entries do not announce one.
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 ggalign or gofedf.
The protist reference database keeps widening past the rRNA gene it was built on.
Conservation planning absorbs the literature's target-setting rules as code.
Joint species distribution models in Gibbs-sampled C++, quiet since 2023.
An ecosystem model starts tracking carbon isotopes and land-use change.
Ten years in, US mapping splits its data out and finally adds Puerto Rico.
Fitness-tracking analysis in slow maintenance, still absorbing upstream breakage.
See all ggalign alternatives → · See all gofedf alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. ggalign and gofedf 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. ggalign and gofedf 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 ggalign alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ggalign alternatives" section above for the current picks, or visit /alternatives/ggalign for the full list with editorial commentary on each.
Top gofedf alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "gofedf alternatives" section above for the current picks, or visit /alternatives/gofedf for the full list with editorial commentary on each.