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Comparison · Infra & APIs

ggpointless vs usmap

A side-by-side editorial comparison of ggpointless and usmap — release velocity, themes, recent moves, and the top alternatives to consider.

ggpointless vs usmap: at a glance

Featureggpointlessusmap
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2-extensions, data-visualization, pictogram-charts, alpha-gradientscartography, sf, data-packaging, fips
Last editorial update3h ago48m ago
WebsiteVisit →Visit →

What is ggpointless?

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.

Read the full ggpointless trajectory →

What is usmap?

Ten years in, US mapping splits its data out and finally adds Puerto Rico.

usmap plots US state and county maps in an Alaska- and Hawaii-inset projection and joins user data to them by FIPS code. Over the last two years it has been rebuilt underneath: the map data moved out to a companion usmapdata package, the geometry became sf, and a data_year parameter lets a plot match the vintage of the data being plotted. Version 1.0.0 marks ten years of the project and adds Puerto Rico across every function.

Read the full usmap trajectory →

ggpointless vs usmap: editorial side-by-side

G
ggpointless
INFRA · APIS
0.0

ggpointless keeps adding the ggplot2 layers nobody else bothered to write.

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

U
usmap
INFRA · APIS
0.0

Ten years in, US mapping splits its data out and finally adds Puerto Rico.

◆ Current state

usmap plots US state and county maps in an Alaska- and Hawaii-inset projection and joins user data to them by FIPS code. Over the last two years it has been rebuilt underneath: the map data moved out to a companion usmapdata package, the geometry became sf, and a data_year parameter lets a plot match the vintage of the data being plotted. Version 1.0.0 marks ten years of the project and adds Puerto Rico across every function.

◆ Where it's heading

The package has separated what it draws from how it draws, and that separation is what makes the recent releases possible: annual map vintages ship in usmapdata without touching usmap, and Puerto Rico could be backfilled into every existing year at once. The remaining work is coverage and defaults rather than architecture, and the Puerto Rico exclusion default is already governed by an environment variable rather than a code change.

◆ Prediction

Expect the annual map vintage to keep arriving through usmapdata, with usmap itself changing only where a new territory or a projection default needs handling.

Alternatives to ggpointless and usmap

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 usmap.

See all ggpointless alternatives → · See all usmap alternatives →

Recent activity from ggpointless and usmap

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 3mo agoggpointlessPictogram unit charts, gridline layers and a family of fading geoms
  2. 5mo agoggpointlessFourier and arch geoms, area fades and glowing points
  3. 11mo agousmapPuerto Rico added across every usmap function and map year
  4. 1y agousmapdata_year parameter threaded through the plotting functions
  5. 2y agousmapPopulation and poverty data refreshed; ggplot2 3.5 legend fix
  6. 2y agoggpointlessgeom_catenary() draws a hanging chain
  7. 2y agousmapMap data becomes sf; usmap_transform() returns geometry
  8. 2y agousmapDocumentation links updated
  9. 2y agousmapMap data extracted to a companion usmapdata package
  10. 3y agoggpointlessgeom_chaikin() adds corner-cutting path smoothing
  11. 4y agoggpointlessgeom_lexis() and the female_leaders dataset

Frequently asked questions

What is the difference between ggpointless and usmap?

They serve adjacent needs but don't currently overlap on shipped themes. ggpointless and usmap 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.

Is ggpointless better than usmap?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggpointless and usmap 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.

What are the best alternatives to ggpointless?

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.

What are the best alternatives to usmap?

Top usmap alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "usmap alternatives" section above for the current picks, or visit /alternatives/usmap for the full list with editorial commentary on each.