Pattern fills for ggplot2, hardened against the ways users write sizes
ggstats alternatives
The best ggstats alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 17, 2026
Looking for the best alternatives to ggstats? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, ggstats 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 ggstats
ggstats keeps widening what a coefficient or Likert plot can be
ggstats extends ggplot2 with statistical plotting: model coefficient plots, Likert and diverging bar charts, proportion geometries and the helpers that make them behave. Recent releases have added an experimental gglikert_side(), left and right total columns for gglikert(), and survey-object support across the Likert family. Development is steady and CRAN-paced, with releases every two to three months.
Velocity 0.0 · Last update 39m ago
Top 12 alternatives to ggstats
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
gcube's recent releases are all packaging metadata, not simulation code
The R port of Quinlan's Cubist gets reproducibility fixes, not new modelling
ecodive rebuilt itself into a broad diversity-metric library, breaking as it went
State-space data simulation for R, filled in one function at a time
rollama turns a local-LLM wrapper into an instrument for reproducible annotation
A ggplot2 inset-map extension that is now infrastructure for other packages
hoopR rebuilds its HTTP layer on httr2 to stop segfaulting on modern systems
NSW boundary data for R, refreshed as the official sources move
Biodiversity impact indicators settle their vocabulary before 1.0
A dormant trajectory-inference wrapper wakes up for maintenance only
The temporal half of the stscl EDM pair, tracking its spatial sibling
ggstats 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 |
|---|---|---|---|---|
| ggstats (baseline) | 0.0 | 0 | ggplot2data-visualizationlikert | — |
| fillpattern | 0.0 | 0 | ggplot2data-visualizationaccessibility | — |
| gcube | 0.0 | 0 | biodiversitysimulationoccurrence-cubes | — |
| cubist | 0.0 | 0 | machine-learningrule-based-modelstidymodels | — |
| 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 |
| ggmapinset | 0.0 | 0 | ggplot2geospatialinset-maps | — |
| 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 ggstats 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 ggstats leans on ggplot2, data visualization and likert, fillpattern focuses on ggplot2, data visualization and accessibility.
fillpattern and ggstats 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 ggstats 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 ggstats leans on ggplot2, data visualization and likert, gcube focuses on biodiversity, simulation and occurrence cubes.
gcube and ggstats 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 ggstats leans on ggplot2, data visualization and likert, cubist focuses on machine learning, rule based models and tidymodels.
cubist and ggstats have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
4. 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 ggstats leans on ggplot2, data visualization and likert, ecodive focuses on microbiome, ecology and diversity metrics.
ecodive and ggstats have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. 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 ggstats leans on ggplot2, data visualization and likert, simStateSpace focuses on state space models, simulation and longitudinal data.
simStateSpace and ggstats 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 ggstats vs simStateSpace →
6. 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 ggstats leans on ggplot2, data visualization and likert, rollama focuses on local llm, ollama and text annotation.
rollama and ggstats have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
7. ggmapinset · velocity 0.0
A ggplot2 inset-map extension that is now infrastructure for other packages.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where ggstats leans on ggplot2, data visualization and likert, ggmapinset focuses on ggplot2, geospatial and inset maps.
ggmapinset and ggstats have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full ggmapinset trajectory → · Compare ggstats vs ggmapinset →
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 ggstats leans on ggplot2, data visualization and likert, hoopr focuses on sports data, basketball and api client.
hoopr and ggstats 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 ggstats leans on ggplot2, data visualization and likert, nswgeo focuses on geospatial, australia and public health.
nswgeo and ggstats 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 ggstats leans on ggplot2, data visualization and likert, impIndicator focuses on biodiversity, invasive species and occurrence cubes.
impIndicator and ggstats 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 ggstats 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 ggstats leans on ggplot2, data visualization and likert, dynwrap focuses on single cell, trajectory inference and bioinformatics.
dynwrap and ggstats 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 ggstats leans on ggplot2, data visualization and likert, tEDM focuses on causal inference, time series and empirical dynamic modeling.
tEDM and ggstats 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 ggstats?
The top ggstats alternatives we currently track in analytics tools are fillpattern, gcube, cubist, ecodive, simStateSpace, ranked by recent ship velocity.
How is this list of ggstats alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare ggstats directly with one of these alternatives?
Yes — every card has a "Compare with ggstats" link to a side-by-side /compare page.