ANALYTICS
Pattern fills for ggplot2, hardened against the ways users write sizes
Alternatives · analytics tools
ggmapinset alternatives
The best ggmapinset alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 17, 2026
Looking for the best alternatives to ggmapinset? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, ggmapinset shipped 0 meaningful updates in the last 30 days and carries a velocity score of 0.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About 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.
Velocity 0.0 · Last update 42m ago
Top 12 alternatives to ggmapinset
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
ANALYTICS
gcube's recent releases are all packaging metadata, not simulation code
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The R port of Quinlan's Cubist gets reproducibility fixes, not new modelling
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ggstats keeps widening what a coefficient or Likert plot can be
ANALYTICS
ecodive rebuilt itself into a broad diversity-metric library, breaking as it went
ANALYTICS
State-space data simulation for R, filled in one function at a time
ANALYTICS
rollama turns a local-LLM wrapper into an instrument for reproducible annotation
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hoopR rebuilds its HTTP layer on httr2 to stop segfaulting on modern systems
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NSW boundary data for R, refreshed as the official sources move
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Biodiversity impact indicators settle their vocabulary before 1.0
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A dormant trajectory-inference wrapper wakes up for maintenance only
ANALYTICS
The temporal half of the stscl EDM pair, tracking its spatial sibling
ggmapinset vs alternatives — shipping velocity at a glance
Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| ggmapinset (baseline) | 0.0 | 0 | ggplot2geospatialinset-maps | — |
| fillpattern | 0.0 | 0 | ggplot2data-visualizationaccessibility | — |
| gcube | 0.0 | 0 | biodiversitysimulationoccurrence-cubes | — |
| cubist | 0.0 | 0 | machine-learningrule-based-modelstidymodels | — |
| ggstats | 0.0 | 0 | ggplot2data-visualizationlikert | — |
| ecodive | 0.0 | 0 | microbiomeecologydiversity-metrics | 2.0.0 expands to ~14 alpha and ~30 beta diversity metrics |
| simStateSpace | 0.0 | 0 | state-space-modelssimulationlongitudinal-data | — |
| rollama | 0.0 | 0 | local-llmollamatext-annotation | rollama 0.3.0 adds logprobs, caching and batched queries |
| hoopr | 0.0 | 0 | sports-databasketballapi-client | hoopR 3.0.0 moves every API backend to httr2 |
| nswgeo | 0.0 | 0 | geospatialaustraliapublic-health | — |
| impIndicator | 0.0 | 0 | biodiversityinvasive-speciesoccurrence-cubes | — |
| dynwrap | 0.0 | 0 | single-celltrajectory-inferencebioinformatics | — |
| tEDM | 0.0 | 0 | causal-inferencetime-seriesempirical-dynamic-modeling | — |
The 12 best ggmapinset alternatives, in depth
1. fillpattern · velocity 0.0
Pattern fills for ggplot2, hardened against the ways users write sizes.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where ggmapinset leans on ggplot2, geospatial and inset maps, fillpattern focuses on ggplot2, data visualization and accessibility.
fillpattern and ggmapinset have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full fillpattern trajectory → · Compare ggmapinset vs fillpattern →
2. gcube · velocity 0.0
Gcube's recent releases are all packaging metadata, not simulation code.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where ggmapinset leans on ggplot2, geospatial and inset maps, gcube focuses on biodiversity, simulation and occurrence cubes.
gcube and ggmapinset have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
3. cubist · velocity 0.0
The R port of Quinlan's Cubist gets reproducibility fixes, not new modelling.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where ggmapinset leans on ggplot2, geospatial and inset maps, cubist focuses on machine learning, rule based models and tidymodels.
cubist and ggmapinset have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
4. ggstats · velocity 0.0
Ggstats keeps widening what a coefficient or Likert plot can be.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where ggmapinset leans on ggplot2, geospatial and inset maps, ggstats focuses on ggplot2, data visualization and likert.
ggstats and ggmapinset have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. ecodive · velocity 0.0
Ecodive rebuilt itself into a broad diversity-metric library, breaking as it went.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “2.0.0 expands to ~14 alpha and ~30 beta diversity metrics”.
Where ggmapinset leans on ggplot2, geospatial and inset maps, ecodive focuses on microbiome, ecology and diversity metrics.
ecodive and ggmapinset have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
6. simStateSpace · velocity 0.0
State-space data simulation for R, filled in one function at a time.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where ggmapinset leans on ggplot2, geospatial and inset maps, simStateSpace focuses on state space models, simulation and longitudinal data.
simStateSpace and ggmapinset have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full simStateSpace trajectory → · Compare ggmapinset vs simStateSpace →
7. rollama · velocity 0.0
Rollama turns a local-LLM wrapper into an instrument for reproducible annotation.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “rollama 0.3.0 adds logprobs, caching and batched queries”.
Where ggmapinset leans on ggplot2, geospatial and inset maps, rollama focuses on local llm, ollama and text annotation.
rollama and ggmapinset have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
8. hoopr · velocity 0.0
HoopR rebuilds its HTTP layer on httr2 to stop segfaulting on modern systems.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “hoopR 3.0.0 moves every API backend to httr2”.
Where ggmapinset leans on ggplot2, geospatial and inset maps, hoopr focuses on sports data, basketball and api client.
hoopr and ggmapinset have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
9. nswgeo · velocity 0.0
NSW boundary data for R, refreshed as the official sources move.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where ggmapinset leans on ggplot2, geospatial and inset maps, nswgeo focuses on geospatial, australia and public health.
nswgeo and ggmapinset have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
10. impIndicator · velocity 0.0
Biodiversity impact indicators settle their vocabulary before 1.0.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where ggmapinset leans on ggplot2, geospatial and inset maps, impIndicator focuses on biodiversity, invasive species and occurrence cubes.
impIndicator and ggmapinset have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full impIndicator trajectory → · Compare ggmapinset vs impIndicator →
11. dynwrap · velocity 0.0
A dormant trajectory-inference wrapper wakes up for maintenance only.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where ggmapinset leans on ggplot2, geospatial and inset maps, dynwrap focuses on single cell, trajectory inference and bioinformatics.
dynwrap and ggmapinset have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
12. tEDM · velocity 0.0
The temporal half of the stscl EDM pair, tracking its spatial sibling.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where ggmapinset leans on ggplot2, geospatial and inset maps, tEDM focuses on causal inference, time series and empirical dynamic modeling.
tEDM and ggmapinset have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Frequently asked questions
What are the best alternatives to ggmapinset?
The top ggmapinset alternatives we currently track in analytics tools are fillpattern, gcube, cubist, ggstats, ecodive, ranked by recent ship velocity.
How is this list of ggmapinset alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare ggmapinset directly with one of these alternatives?
Yes — every card has a "Compare with ggmapinset" link to a side-by-side /compare page.