ANALYTICS
Pattern fills for ggplot2, hardened against the ways users write sizes
Alternatives · analytics tools
dynwrap alternatives
The best dynwrap alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 17, 2026
Looking for the best alternatives to dynwrap? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, dynwrap 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 dynwrap
A dormant trajectory-inference wrapper wakes up for maintenance only
dynwrap is the dynverse component that wraps single-cell trajectory inference methods behind a common interface, handling containerised method execution and the trajectory data model. The visible history is dominated by a burst of feature work in 2019 and then near-silence: the only recent release, v1.3.0, is a package modernisation with a minimum-version bump and no user-facing capability. The three entries in the feed span seven years.
Velocity 0.0 · Last update 43m ago
Top 12 alternatives to dynwrap
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
The temporal half of the stscl EDM pair, tracking its spatial sibling
dynwrap 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 |
|---|---|---|---|---|
| dynwrap (baseline) | 0.0 | 0 | single-celltrajectory-inferencebioinformatics | — |
| 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 | — |
| tEDM | 0.0 | 0 | causal-inferencetime-seriesempirical-dynamic-modeling | — |
The 12 best dynwrap 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 dynwrap leans on single cell, trajectory inference and bioinformatics, fillpattern focuses on ggplot2, data visualization and accessibility.
fillpattern and dynwrap 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 dynwrap 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 dynwrap leans on single cell, trajectory inference and bioinformatics, gcube focuses on biodiversity, simulation and occurrence cubes.
gcube and dynwrap 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 dynwrap leans on single cell, trajectory inference and bioinformatics, cubist focuses on machine learning, rule based models and tidymodels.
cubist and dynwrap 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 dynwrap leans on single cell, trajectory inference and bioinformatics, ggstats focuses on ggplot2, data visualization and likert.
ggstats and dynwrap 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 dynwrap leans on single cell, trajectory inference and bioinformatics, ecodive focuses on microbiome, ecology and diversity metrics.
ecodive and dynwrap 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 dynwrap leans on single cell, trajectory inference and bioinformatics, simStateSpace focuses on state space models, simulation and longitudinal data.
simStateSpace and dynwrap 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 dynwrap 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 dynwrap leans on single cell, trajectory inference and bioinformatics, rollama focuses on local llm, ollama and text annotation.
rollama and dynwrap 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 dynwrap leans on single cell, trajectory inference and bioinformatics, ggmapinset focuses on ggplot2, geospatial and inset maps.
ggmapinset and dynwrap 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 dynwrap 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 dynwrap leans on single cell, trajectory inference and bioinformatics, hoopr focuses on sports data, basketball and api client.
hoopr and dynwrap 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 dynwrap leans on single cell, trajectory inference and bioinformatics, nswgeo focuses on geospatial, australia and public health.
nswgeo and dynwrap 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 dynwrap leans on single cell, trajectory inference and bioinformatics, impIndicator focuses on biodiversity, invasive species and occurrence cubes.
impIndicator and dynwrap 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 dynwrap vs impIndicator →
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 dynwrap leans on single cell, trajectory inference and bioinformatics, tEDM focuses on causal inference, time series and empirical dynamic modeling.
tEDM and dynwrap 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 dynwrap?
The top dynwrap alternatives we currently track in analytics tools are fillpattern, gcube, cubist, ggstats, ecodive, ranked by recent ship velocity.
How is this list of dynwrap alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare dynwrap directly with one of these alternatives?
Yes — every card has a "Compare with dynwrap" link to a side-by-side /compare page.