vcfR
A genomics workhorse whose visible release feed stops dead in mid-2020.
A side-by-side editorial comparison of ggpointless and trackeR — release velocity, themes, recent moves, and the top alternatives to consider.
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.
Fitness-tracking analysis in slow maintenance, still absorbing upstream breakage.
trackeR reads GPS and fitness-tracker files in TCX, GPX and JSON form and turns them into session data, distribution and concentration profiles, and route plots. Feature work concentrated in the 1.5 series in 2019; the two releases since are corrective. The latest swaps the plot layout dependencies for patchwork and fixes plot_route() returning nothing.
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.
trackeR reads GPS and fitness-tracker files in TCX, GPX and JSON form and turns them into session data, distribution and concentration profiles, and route plots. Feature work concentrated in the 1.5 series in 2019; the two releases since are corrective. The latest swaps the plot layout dependencies for patchwork and fixes plot_route() returning nothing.
Recent releases track other people's changes: ggmap moving to Stadia maps, gridExtra giving way to patchwork, a cadence field being read into the wrong column. The 2019 entries are where the analysis surface was built out, with cumulative elevation gain, compressed file reading and elevation-noise thresholds, and it has not moved much since.
Expect the next release to be another compatibility or parsing fix rather than a new metric.
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 ggpointless or trackeR.
A genomics workhorse whose visible release feed stops dead in mid-2020.
The R phone-number package stopped only parsing numbers and started asking them where they are.
A Venn diagram package whose public release notes say almost nothing — including about its copyright cleanup.
A Shiny app for choosing the right ordinal test reached CRAN in a single 90-minute burst of tags.
A new R localization package that reached CRAN and immediately downgraded itself to experimental.
An R client for HERE's location APIs, shaped almost entirely by what the vendor exposes next.
See all ggpointless alternatives → · See all trackeR alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. ggpointless and trackeR 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. ggpointless and trackeR 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 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.
Top trackeR alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "trackeR alternatives" section above for the current picks, or visit /alternatives/tracker for the full list with editorial commentary on each.