ANALYTICS
Pattern fills for ggplot2, hardened against the ways users write sizes
Alternatives · analytics tools
cubist alternatives
The best cubist alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 17, 2026
Looking for the best alternatives to cubist? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, cubist 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 cubist
The R port of Quinlan's Cubist gets reproducibility fixes, not new modelling
Cubist is the R interface to Quinlan's rule-based regression model, wrapping the original C sources behind an R API and feeding the tidymodels rules package. The 0.6.0 release adds a strip_time_stamps control that removes date, time and duration information from model output, and now errors rather than silently misbehaving when a date or date-time column is passed. Error reporting moves from base stop() and warning() to cli.
Velocity 0.0 · Last update 45m ago
Top 12 alternatives to cubist
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
ANALYTICS
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
ANALYTICS
A ggplot2 inset-map extension that is now infrastructure for other packages
ANALYTICS
hoopR rebuilds its HTTP layer on httr2 to stop segfaulting on modern systems
ANALYTICS
NSW boundary data for R, refreshed as the official sources move
ANALYTICS
Biodiversity impact indicators settle their vocabulary before 1.0
ANALYTICS
A dormant trajectory-inference wrapper wakes up for maintenance only
ANALYTICS
The temporal half of the stscl EDM pair, tracking its spatial sibling
cubist 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 |
|---|---|---|---|---|
| cubist (baseline) | 0.0 | 0 | machine-learningrule-based-modelstidymodels | — |
| fillpattern | 0.0 | 0 | ggplot2data-visualizationaccessibility | — |
| gcube | 0.0 | 0 | biodiversitysimulationoccurrence-cubes | — |
| 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 cubist 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 cubist leans on machine learning, rule based models and tidymodels, fillpattern focuses on ggplot2, data visualization and accessibility.
fillpattern and cubist 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 cubist 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 cubist leans on machine learning, rule based models and tidymodels, gcube focuses on biodiversity, simulation and occurrence cubes.
gcube and cubist 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 cubist leans on machine learning, rule based models and tidymodels, ggstats focuses on ggplot2, data visualization and likert.
ggstats and cubist 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 cubist leans on machine learning, rule based models and tidymodels, ecodive focuses on microbiome, ecology and diversity metrics.
ecodive and cubist 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 cubist leans on machine learning, rule based models and tidymodels, simStateSpace focuses on state space models, simulation and longitudinal data.
simStateSpace and cubist 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 cubist 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 cubist leans on machine learning, rule based models and tidymodels, rollama focuses on local llm, ollama and text annotation.
rollama and cubist 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 cubist leans on machine learning, rule based models and tidymodels, ggmapinset focuses on ggplot2, geospatial and inset maps.
ggmapinset and cubist 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 cubist 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 cubist leans on machine learning, rule based models and tidymodels, hoopr focuses on sports data, basketball and api client.
hoopr and cubist 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 cubist leans on machine learning, rule based models and tidymodels, nswgeo focuses on geospatial, australia and public health.
nswgeo and cubist 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 cubist leans on machine learning, rule based models and tidymodels, impIndicator focuses on biodiversity, invasive species and occurrence cubes.
impIndicator and cubist 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 cubist 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 cubist leans on machine learning, rule based models and tidymodels, dynwrap focuses on single cell, trajectory inference and bioinformatics.
dynwrap and cubist 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 cubist leans on machine learning, rule based models and tidymodels, tEDM focuses on causal inference, time series and empirical dynamic modeling.
tEDM and cubist 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 cubist?
The top cubist alternatives we currently track in analytics tools are fillpattern, gcube, ggstats, ecodive, simStateSpace, ranked by recent ship velocity.
How is this list of cubist alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare cubist directly with one of these alternatives?
Yes — every card has a "Compare with cubist" link to a side-by-side /compare page.