Pattern fills for ggplot2, hardened against the ways users write sizes
ecodive alternatives
The best ecodive alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 17, 2026
Looking for the best alternatives to ecodive? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, ecodive 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 ecodive
ecodive rebuilt itself into a broad diversity-metric library, breaking as it went
ecodive computes alpha and beta diversity metrics for ecological and microbiome count data, including phylogenetic measures like Faith's PD and the UniFrac family. The 2.0.0 rewrite expanded it from a handful of metrics to roughly fourteen alpha and thirty beta measures while flipping the expected input orientation to samples-as-rows. Subsequent releases have been spent settling the normalisation interface that expansion exposed.
Velocity 0.0 · Last update 39m ago
Top 12 alternatives to ecodive
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
ggstats keeps widening what a coefficient or Likert plot can be
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
ecodive 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 |
|---|---|---|---|---|
| ecodive (baseline) | 0.0 | 0 | microbiomeecologydiversity-metrics | 2.0.0 expands to ~14 alpha and ~30 beta diversity metrics |
| 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 | — |
| 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 ecodive 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 ecodive leans on microbiome, ecology and diversity metrics, fillpattern focuses on ggplot2, data visualization and accessibility.
fillpattern and ecodive 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 ecodive 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 ecodive leans on microbiome, ecology and diversity metrics, gcube focuses on biodiversity, simulation and occurrence cubes.
gcube and ecodive 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 ecodive leans on microbiome, ecology and diversity metrics, cubist focuses on machine learning, rule based models and tidymodels.
cubist and ecodive 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 ecodive leans on microbiome, ecology and diversity metrics, ggstats focuses on ggplot2, data visualization and likert.
ggstats and ecodive 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 ecodive leans on microbiome, ecology and diversity metrics, simStateSpace focuses on state space models, simulation and longitudinal data.
simStateSpace and ecodive 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 ecodive 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 ecodive leans on microbiome, ecology and diversity metrics, rollama focuses on local llm, ollama and text annotation.
rollama and ecodive 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 ecodive leans on microbiome, ecology and diversity metrics, ggmapinset focuses on ggplot2, geospatial and inset maps.
ggmapinset and ecodive 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 ecodive 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 ecodive leans on microbiome, ecology and diversity metrics, hoopr focuses on sports data, basketball and api client.
hoopr and ecodive 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 ecodive leans on microbiome, ecology and diversity metrics, nswgeo focuses on geospatial, australia and public health.
nswgeo and ecodive 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 ecodive leans on microbiome, ecology and diversity metrics, impIndicator focuses on biodiversity, invasive species and occurrence cubes.
impIndicator and ecodive 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 ecodive 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 ecodive leans on microbiome, ecology and diversity metrics, dynwrap focuses on single cell, trajectory inference and bioinformatics.
dynwrap and ecodive 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 ecodive leans on microbiome, ecology and diversity metrics, tEDM focuses on causal inference, time series and empirical dynamic modeling.
tEDM and ecodive 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 ecodive?
The top ecodive alternatives we currently track in analytics tools are fillpattern, gcube, cubist, ggstats, simStateSpace, ranked by recent ship velocity.
How is this list of ecodive alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare ecodive directly with one of these alternatives?
Yes — every card has a "Compare with ecodive" link to a side-by-side /compare page.