ANALYTICS
Pattern fills for ggplot2, hardened against the ways users write sizes
Alternatives · analytics tools
sccore alternatives
The best sccore alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 17, 2026
Looking for the best alternatives to sccore? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, sccore 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 sccore
Shared plumbing for the Kharchenko single-cell stack, updated once a year
sccore is the utility layer under the Kharchenko lab's single-cell packages — embedding plots, dot plots, parallel apply helpers and distance metrics that the downstream tools depend on rather than a tool researchers drive directly. The recent releases fix the Jensen-Shannon distance computation between matrix columns and add optional OpenMP support to the RcppArmadillo build. Cadence is roughly one CRAN release a year.
Velocity 0.0 · Last update 45m ago
Top 12 alternatives to sccore
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
The R port of Quinlan's Cubist gets reproducibility fixes, not new modelling
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
sccore 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 |
|---|---|---|---|---|
| sccore (baseline) | 0.0 | 0 | single-cellbioinformaticsr-package | — |
| 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 |
| 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 | — |
The 12 best sccore 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 sccore leans on single cell, bioinformatics and r package, fillpattern focuses on ggplot2, data visualization and accessibility.
fillpattern and sccore 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 sccore 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 sccore leans on single cell, bioinformatics and r package, gcube focuses on biodiversity, simulation and occurrence cubes.
gcube and sccore 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 sccore leans on single cell, bioinformatics and r package, cubist focuses on machine learning, rule based models and tidymodels.
cubist and sccore 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 sccore leans on single cell, bioinformatics and r package, ggstats focuses on ggplot2, data visualization and likert.
ggstats and sccore 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 sccore leans on single cell, bioinformatics and r package, ecodive focuses on microbiome, ecology and diversity metrics.
ecodive and sccore 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 sccore leans on single cell, bioinformatics and r package, simStateSpace focuses on state space models, simulation and longitudinal data.
simStateSpace and sccore 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 sccore 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 sccore leans on single cell, bioinformatics and r package, rollama focuses on local llm, ollama and text annotation.
rollama and sccore have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
8. 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 sccore leans on single cell, bioinformatics and r package, ggmapinset focuses on ggplot2, geospatial and inset maps.
ggmapinset and sccore 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 sccore vs ggmapinset →
9. 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 sccore leans on single cell, bioinformatics and r package, hoopr focuses on sports data, basketball and api client.
hoopr and sccore have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
10. 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 sccore leans on single cell, bioinformatics and r package, nswgeo focuses on geospatial, australia and public health.
nswgeo and sccore have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
11. 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 sccore leans on single cell, bioinformatics and r package, impIndicator focuses on biodiversity, invasive species and occurrence cubes.
impIndicator and sccore 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 sccore vs impIndicator →
12. 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 sccore leans on single cell, bioinformatics and r package, dynwrap focuses on single cell, trajectory inference and bioinformatics.
dynwrap and sccore 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 sccore?
The top sccore alternatives we currently track in analytics tools are fillpattern, gcube, cubist, ggstats, ecodive, ranked by recent ship velocity.
How is this list of sccore alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare sccore directly with one of these alternatives?
Yes — every card has a "Compare with sccore" link to a side-by-side /compare page.