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ggmapinset vs hoopr

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

ggmapinset vs hoopr: at a glance

Featureggmapinsethoopr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2, geospatial, inset-maps, extension-apisports-data, basketball, api-client, httr2
Last editorial update1h ago1h 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 hoopr?

hoopR rebuilds its HTTP layer on httr2 to stop segfaulting on modern systems

hoopR is the sportsdataverse R package for basketball data, wrapping ESPN, NBA Stats, NBA G-League, NCAA and KenPom behind a single set of loaders. Version 3.0.0 replaces httr with httr2 across every one of those backends, drops httr from Imports, and routes all calls through shared internal retry and response helpers. The change is breaking, and it exists because the old stack segfaulted against libcurl 8.x and curl 7.0.0.

Read the full hoopr trajectory →

ggmapinset vs hoopr: 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.

H
hoopr
ANALYTICS
0.0

hoopR rebuilds its HTTP layer on httr2 to stop segfaulting on modern systems

◆ Current state

hoopR is the sportsdataverse R package for basketball data, wrapping ESPN, NBA Stats, NBA G-League, NCAA and KenPom behind a single set of loaders. Version 3.0.0 replaces httr with httr2 across every one of those backends, drops httr from Imports, and routes all calls through shared internal retry and response helpers. The change is breaking, and it exists because the old stack segfaulted against libcurl 8.x and curl 7.0.0.

◆ Where it's heading

The package's history is two distinct eras. Through 2021-2023 it grew by endpoint accretion — ESPN stat functions, G-League coverage, the NBA live and boxscore V3 families, on-court players in play-by-play — expanding what could be pulled. The recent work is consolidation instead: one HTTP pipeline, one messaging library, data served from the shared sportsdataverse-data releases rather than per-package repositories. The centre of gravity has moved from adding endpoints to making the plumbing survive its dependencies.

◆ Prediction

With the HTTP layer unified behind shared helpers, expect the sibling sportsdataverse packages to follow the same httr2 migration, and hoopR's own next releases to resume endpoint work now that requests run through one pipeline.

Alternatives to ggmapinset and hoopr

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 hoopr.

See all ggmapinset alternatives → · See all hoopr alternatives →

Recent activity from ggmapinset and hoopr

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

  1. 4mo agohooprhoopR 3.0.0 moves every API backend to httr2
  2. 4mo agoggmapinsetNew extension point for ggautomap; waiver() replaces NA
  3. 1y agoggmapinsetRectangular and arbitrary sf inset shapes
  4. 2y agohooprData loaders repoint to sportsdataverse-data; NBA live endpoints
  5. 3y agoggmapinsetRebuilt on stat_sf_inset() with corrected coordinate limits
  6. 4y agohooprESPN stat functions and G-League coverage added
  7. 4y agohooprCRAN release with documented return shapes
  8. 4y agohooprhoopR 1.4.4
  9. 4y agohooprhoopR 1.4.3

Frequently asked questions

What is the difference between ggmapinset and hoopr?

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

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggmapinset and hoopr 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 hoopr?

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