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ggmapinset vs qualpalr

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

ggmapinset vs qualpalr: at a glance

Featureggmapinsetqualpalr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2, geospatial, inset-maps, extension-apicolor-palettes, accessibility, color-vision-deficiency, optimization
Last editorial update2h ago49m ago
WebsiteVisit →Visit →

What is ggmapinset?

A ggplot2 inset-map extension that is now infrastructure for other packages

ggmapinset adds magnified inset panels to ggplot2 sf maps, handling the coordinate transformation, the inset frame and the sf-related stat layers that have to follow it. The 0.5.0 release is aimed less at end users than at extension authors: coerce_centre() is a new extension point required by sibling package ggautomap, and the inset parameter drops NA in favour of waiver() as its default. It comes from cidm-ph, alongside nswgeo.

Read the full ggmapinset trajectory →

What is qualpalr?

A palette generator became a palette platform — and changed the metric behind every color it picks.

qualpalr generates maximally distinct categorical color palettes by optimizing perceptual distance, with adaptation for color vision deficiency built in from early on. Version 1.0.0 in August 2025 ended an eight-year stretch of small maintenance releases: the color-difference metric became selectable, existing palettes from ColorBrewer and Tableau became usable as input, and functions arrived to list, retrieve, extend and analyze palettes rather than only generate them. The C++ backend was rewritten as part of the same release.

Read the full qualpalr trajectory →

ggmapinset vs qualpalr: editorial side-by-side

G
ggmapinset
ANALYTICS
0.0

A ggplot2 inset-map extension that is now infrastructure for other packages

◆ Current state

ggmapinset adds magnified inset panels to ggplot2 sf maps, handling the coordinate transformation, the inset frame and the sf-related stat layers that have to follow it. The 0.5.0 release is aimed less at end users than at extension authors: coerce_centre() is a new extension point required by sibling package ggautomap, and the inset parameter drops NA in favour of waiver() as its default. It comes from cidm-ph, alongside nswgeo.

◆ Where it's heading

The package has moved steadily from feature to foundation. 0.3.0 replaced confusing parameter names and rebuilt everything on stat_sf_inset() so coordinate limits stayed correct, then exposed transform_to_inset() explicitly for extension developers. 0.4.0 generalised inset shapes beyond circles to rectangles and arbitrary sf geometries. 0.5.0 continues in that direction, changing defaults in ways that require downstream extensions to adapt — the cost of being depended upon.

◆ Prediction

Expect further extension points driven by what ggautomap and the other cidm-ph mapping packages need, with the user-facing inset API staying largely settled after the shape generalisation.

Q
qualpalr
ANALYTICS
0.0

A palette generator became a palette platform — and changed the metric behind every color it picks.

◆ Current state

qualpalr generates maximally distinct categorical color palettes by optimizing perceptual distance, with adaptation for color vision deficiency built in from early on. Version 1.0.0 in August 2025 ended an eight-year stretch of small maintenance releases: the color-difference metric became selectable, existing palettes from ColorBrewer and Tableau became usable as input, and functions arrived to list, retrieve, extend and analyze palettes rather than only generate them. The C++ backend was rewritten as part of the same release.

◆ Where it's heading

The package is moving from a generator to a toolkit that also works on palettes it did not create. Accepting a named palette as input, extending an existing one, and analyzing an arbitrary categorical palette all point the optimization machinery outward at the palettes people already use. The color-vision-deficiency handling followed the same path, consolidating from a single cvd_severity scalar to a named vector giving protan, deuter and tritan their own severities.

◆ Prediction

Two deprecations are explicitly staged for the next major release — autopal(), with no replacement offered, and cvd_severity — so removal is the most likely next structural step. The 1.0.1 release already tracks the underlying qualpal C++ library separately, suggesting future changes may arrive from there.

Alternatives to ggmapinset and qualpalr

Other Analytics 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 ggmapinset or qualpalr.

See all ggmapinset alternatives → · See all qualpalr alternatives →

Recent activity from ggmapinset and qualpalr

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

  1. 4mo agoggmapinsetNew extension point for ggautomap; waiver() replaces NA
  2. 10mo agoqualpalrJOSS citation added and C++ library bumped to 3.3.0
  3. 0y agoqualpalrSelectable difference metric, palette input, and a rewritten backend
  4. 1y agoggmapinsetRectangular and arbitrary sf inset shapes
  5. 2y agoqualpalrRcppParallel dropped and n_threads deprecated
  6. 3y agoggmapinsetRebuilt on stat_sf_inset() with corrected coordinate limits
  7. 7y agoqualpalrThreaded distance-matrix computation via a new n_threads argument
  8. 8y agoqualpalrPalette generation becomes deterministic
  9. 9y agoqualpalrautopal() fixed after a zero-difference bug

Frequently asked questions

What is the difference between ggmapinset and qualpalr?

They serve adjacent needs but don't currently overlap on shipped themes. ggmapinset and qualpalr 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 ggmapinset better than qualpalr?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggmapinset and qualpalr 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 Analytics products to evaluate alongside.

What are the best alternatives to ggmapinset?

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

What are the best alternatives to qualpalr?

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