rollupTree
The recursive-computation engine under massProps grows the accessors its consumer needed
A side-by-side editorial comparison of fastpos and ggpointless — release velocity, themes, recent moves, and the top alternatives to consider.
Dormant three years, then a two-line release nobody using it would notice
fastpos finds the critical point of stability for a Pearson correlation, a simulation problem whose C++ implementation is the entire reason the package exists. Its substantive work concluded in 2022 with 0.5.0, the release prepared during R Journal review, which renamed the precision parameters, moved multicore work to pbapply and let users set corridor limits directly. After three years of silence, 0.6.0 removes an internal restriction to cpp11 and changes index_pop to an integer.
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.
fastpos finds the critical point of stability for a Pearson correlation, a simulation problem whose C++ implementation is the entire reason the package exists. Its substantive work concluded in 2022 with 0.5.0, the release prepared during R Journal review, which renamed the precision parameters, moved multicore work to pbapply and let users set corridor limits directly. After three years of silence, 0.6.0 removes an internal restriction to cpp11 and changes index_pop to an integer.
This is a finished piece of research software in low-effort upkeep. The changelog's centre of gravity is the R Journal review process, and once that concluded the package stopped changing. The single release since is toolchain work of the kind that keeps a package compiling rather than anything a user would see.
Expect nothing beyond occasional compilation or CRAN-check fixes unless the accompanying paper draws requests for other correlation types or resampling schemes.
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 fastpos or ggpointless.
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 fastpos 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. fastpos 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. fastpos 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 fastpos alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "fastpos alternatives" section above for the current picks, or visit /alternatives/fastpos 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.