gcube's recent releases are all packaging metadata, not simulation code
fillpattern alternatives
The best fillpattern alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 17, 2026
Looking for the best alternatives to fillpattern? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, fillpattern 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 fillpattern
Pattern fills for ggplot2, hardened against the ways users write sizes
fillpattern provides pattern fills — stripes, bricks, dots — for ggplot2 and base R graphics, aimed at figures that must stay legible in greyscale or to colour-blind readers. The 1.0.3 release is mostly defensive: size modifier strings ending in a colon no longer swap width for height, modify_size() reports invalid units instead of crashing and understands in, inches and cm, and a background colour bug in scale_fill_pattern() is fixed. The minimum R version rises to 4.2.0 for recent graphics engine features.
Velocity 0.0 · Last update 44m ago
Top 12 alternatives to fillpattern
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
The R port of Quinlan's Cubist gets reproducibility fixes, not new modelling
ggstats keeps widening what a coefficient or Likert plot can be
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
fillpattern 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 |
|---|---|---|---|---|
| fillpattern (baseline) | 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 |
| 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 fillpattern alternatives, in depth
1. 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 fillpattern leans on ggplot2, data visualization and accessibility, gcube focuses on biodiversity, simulation and occurrence cubes.
gcube and fillpattern have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
2. 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 fillpattern leans on ggplot2, data visualization and accessibility, cubist focuses on machine learning, rule based models and tidymodels.
cubist and fillpattern have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
3. 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 fillpattern leans on ggplot2, data visualization and accessibility, ggstats focuses on ggplot2, data visualization and likert.
ggstats and fillpattern have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full ggstats trajectory → · Compare fillpattern vs ggstats →
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 fillpattern leans on ggplot2, data visualization and accessibility, ecodive focuses on microbiome, ecology and diversity metrics.
ecodive and fillpattern have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full ecodive trajectory → · Compare fillpattern vs ecodive →
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 fillpattern leans on ggplot2, data visualization and accessibility, simStateSpace focuses on state space models, simulation and longitudinal data.
simStateSpace and fillpattern 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 fillpattern 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 fillpattern leans on ggplot2, data visualization and accessibility, rollama focuses on local llm, ollama and text annotation.
rollama and fillpattern have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full rollama trajectory → · Compare fillpattern vs rollama →
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 fillpattern leans on ggplot2, data visualization and accessibility, ggmapinset focuses on ggplot2, geospatial and inset maps.
ggmapinset and fillpattern 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 fillpattern 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 fillpattern leans on ggplot2, data visualization and accessibility, hoopr focuses on sports data, basketball and api client.
hoopr and fillpattern 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 fillpattern leans on ggplot2, data visualization and accessibility, nswgeo focuses on geospatial, australia and public health.
nswgeo and fillpattern 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 fillpattern leans on ggplot2, data visualization and accessibility, impIndicator focuses on biodiversity, invasive species and occurrence cubes.
impIndicator and fillpattern 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 fillpattern 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 fillpattern leans on ggplot2, data visualization and accessibility, dynwrap focuses on single cell, trajectory inference and bioinformatics.
dynwrap and fillpattern have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full dynwrap trajectory → · Compare fillpattern vs dynwrap →
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 fillpattern leans on ggplot2, data visualization and accessibility, tEDM focuses on causal inference, time series and empirical dynamic modeling.
tEDM and fillpattern 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 fillpattern?
The top fillpattern alternatives we currently track in analytics tools are gcube, cubist, ggstats, ecodive, simStateSpace, ranked by recent ship velocity.
How is this list of fillpattern alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare fillpattern directly with one of these alternatives?
Yes — every card has a "Compare with fillpattern" link to a side-by-side /compare page.