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A distribution catalogue that grows by one family at a time, and rarely breaks anything.
A side-by-side editorial comparison of eulerr and ggmapinset — release velocity, themes, recent moves, and the top alternatives to consider.
The area-proportional Euler diagram package is finished software, and maintained like it.
eulerr generates area-proportional Euler and Venn diagrams by numerically optimizing shape positions and sizes to match set relationships, with the fitting done in C++. The last feature release was 7.0.0 in December 2022, which made the optimization's loss function user-selectable. Everything since has been maintenance: documentation URL corrections, a strip-layout fix when grouping, an Armadillo deprecation, and an R CMD check warning about an unignored config file.
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.
eulerr generates area-proportional Euler and Venn diagrams by numerically optimizing shape positions and sizes to match set relationships, with the fitting done in C++. The last feature release was 7.0.0 in December 2022, which made the optimization's loss function user-selectable. Everything since has been maintenance: documentation URL corrections, a strip-layout fix when grouping, an Armadillo deprecation, and an R CMD check warning about an unignored config file.
This is a mature package whose problem is solved, and the release pattern reflects that — three of the last four releases changed nothing a user would see. What activity remains is tracking its dependencies rather than its own roadmap: keeping up with Armadillo's deprecations and R CMD check policy is the whole of recent work. The two September 2025 releases an hour apart are a fix and its follow-up, not a development cycle restarting.
The pattern points to continued upkeep triggered by upstream C++ and CRAN check changes rather than new capability. If anything does move, the configurable loss function added in 7.0.0 is the surface with room left in it.
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.
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.
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.
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 eulerr or ggmapinset.
A distribution catalogue that grows by one family at a time, and rarely breaks anything.
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The USA phenology data client rebuilt its entire stack and stopped handing users -9999 as a number.
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Publication-ready psychology tables and plots, tracking APA style as closely as the software allows.
A spatial-statistics utility package exists to be depended on, and is built accordingly.
See all eulerr alternatives → · See all ggmapinset alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. eulerr and ggmapinset 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. eulerr and ggmapinset 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.
Top eulerr alternatives in Analytics are ranked by recent ship velocity. Browse the "eulerr alternatives" section above for the current picks, or visit /alternatives/eulerr for the full list with editorial commentary on each.
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.