pr2database
The protist reference database keeps widening past the rRNA gene it was built on.
A side-by-side editorial comparison of ggalign and ggpointless — 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.
ggpointless keeps adding the ggplot2 layers nobody else bothered to write.
ggpointless is a small ggplot2 extension collecting geoms that sit outside the standard set — Lexis diagrams, Chaikin-smoothed paths, hanging chains, Fourier reconstructions — and it has grown steadily rather than changed shape. The May release is the largest yet: isotype and pictogram bar charts as stacks of discrete unit cells, a family of geoms that fade paths, segments, curves and reference lines along their length, and geom_gridline(), which draws grid lines as a layer on top of the data rather than beneath it.
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.
ggpointless is a small ggplot2 extension collecting geoms that sit outside the standard set — Lexis diagrams, Chaikin-smoothed paths, hanging chains, Fourier reconstructions — and it has grown steadily rather than changed shape. The May release is the largest yet: isotype and pictogram bar charts as stacks of discrete unit cells, a family of geoms that fade paths, segments, curves and reference lines along their length, and geom_gridline(), which draws grid lines as a layer on top of the data rather than beneath it.
Two patterns are visible. Ideas get generalized rather than left as one-offs: geom_area_fade() in the previous release established alpha gradients via grid::linearGradient(), and the recent release spreads that treatment across paths, lines, steps, segments, curves and the three reference-line geoms, each with the same fade_direction and alpha_fade_to arguments. And each new geom is expected to survive real plots — the unit charts work under coord_equal, coord_polar, coord_radial, coord_flip and faceting, and geom_gridline reads positions from trained scales and inherits styling from the theme's panel grid. The package also tracks ggplot2 closely, requiring 4.0.0 and using make_constructor() and gg_par() internally, and it dropped its bundled datasets outright rather than maintain stale copies.
The fade treatment now covers most path-like geoms but not the area and ribbon family beyond geom_area_fade(), which is where the pattern has room left to run. The unit-cell charts arrive with a label helper and no fill or grouping variants, so those are the plausible next additions.
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 ggpointless.
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 ggpointless 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 ggpointless 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 ggpointless 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 ggpointless alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ggpointless alternatives" section above for the current picks, or visit /alternatives/ggpointless for the full list with editorial commentary on each.